# ScaleReach — Full Content Export for LLMs > ScaleReach is an AI video repurposing platform that turns long-form videos into viral short clips for TikTok, Instagram Reels, and YouTube Shorts. Website: https://www.scalereach.ai · App: https://app.scalereach.ai · Site index: https://www.scalereach.ai/llms.txt --- # Opus Clip vs Submagic (2026): Pricing, Limits, Captions URL: https://www.scalereach.ai/blog/opus-clip-vs-submagic Published: 2026-10-28 · Author: Hevin K Tags: Comparison, Opus Clip, Submagic, Pricing, AI Clip Maker Opus Clip and Submagic sell different things under similar names. **Opus Clip charges by the minute of video you feed it**: $15 a month buys 150 minutes, which is $0.10 a source minute. **Submagic charges by the video**: $19 a month buys 45 credits, which covers 15 uploads of up to 2 minutes each. If you cut long podcasts or webinars into shorts, Opus Clip is built for that job. If you already have short vertical videos and want them captioned and polished, Submagic is. Every figure below is the US price, read from each vendor's own pages on **28 October 2026**. Disclosure: ScaleReach publishes this comparison and competes with both tools. I did not pay for either plan for this post, and I did not run the same video through both, so there is no output-quality verdict here. There are no affiliate links. Every fact comes from a page the vendor controls, linked and dated. ## The 60-second verdict > **Pick Opus Clip if** your source videos are long (podcasts, webinars, streams) and you want clips found for you. Billing is per source minute, sources can run up to 10 hours, and Starter at $15 auto-posts to YouTube Shorts, TikTok and Reels. > > **Pick Submagic if** your videos are already short and caption style is what you care about. Its plans cap each video at 2, 5 or 30 minutes, and long-video clipping (Magic Clips) is a credit-hungry extra on top. > > **Check first:** Submagic's help centre does not say whether the 2, 5 and 30 minute caps apply to Magic Clips sources. If they do, an hour-long podcast fits no self-serve plan. > > **Bottom line:** Opus Clip is a clipper that also captions. Submagic is a caption editor that also clips. Choose by the length of the video you start with. ## Opus Clip vs Submagic at a glance | | Opus Clip | Submagic | |---|---|---| | What you pay for | Minutes of source video (1 credit = 1 minute) | Videos (3 credits per upload, plus AI features) | | Cheapest paid plan, monthly | Starter $15, 150 credits | Starter $19 per member, 45 credits (15 videos) | | Cheapest paid plan, yearly | Pro $14.50/month ($174 a year) | Starter $12/month per member ($144 a year) | | Mid plan | Pro $29/month, 300 credits | Pro $39/month per member, 120 credits (40 videos) | | Longest video | Up to 10 hours, per the help centre | 2 min (Starter), 5 min (Pro), 30 min (Business) | | Long-video clipping | The core product, every plan | Magic Clips, 8 credits each | | Free option | Free plan, 60 credits a month, watermarked | Free trial, 3 short videos, watermarked downloads | | Caption languages | 20+ (pricing page), "over 25" (help centre) | 48+ (help centre), 50+ (languages page) | | Highest export | Highest available on Starter and Pro, 4K on Business | 1080p (Starter), 2K (Pro), 4K at 60 FPS (Business) | | Social posting | Starter: auto-post to Shorts, TikTok, Reels. Pro: scheduler, 6 accounts | Pro and Business: TikTok, YouTube, Instagram, with analytics | | MCP server | Yes, "MCP connector" from Pro | Yes, `api.submagic.co/mcp`, uses API credits | | Refunds | Credits back per project on Pro, within 14 days, before any download | "We do not offer refunds" | Sources: [opus.pro/pricing](https://www.opus.pro/pricing), [help.opus.pro](https://help.opus.pro/docs/article/how-are-credits-consumed), [submagic.co/pricing](https://www.submagic.co/pricing) and [care.submagic.co](https://care.submagic.co/en/article/how-much-does-it-cost-to-use-submagic-1xm83pa/) (all verified 2026-10-28). ## What is the difference between Opus Clip and Submagic? Opus Clip is a long-to-short clipper. You give it a long video, it picks the moments, reframes them to vertical, adds captions and gives each clip a Virality Score. Everything else (editing, B-roll, scheduling) sits around that job. Submagic started as an AI caption tool for short videos. You upload a short vertical video, it adds animated captions, zooms, B-roll, sound effects and silence cuts. Its long-to-short feature, Magic Clips, came later and is priced separately from the main workflow. That difference shows up in every row of the table above. Opus Clip meters the input. Submagic meters the number of videos and caps how long each one can be. ## How much does Opus Clip cost in 2026? US prices on [opus.pro/pricing](https://www.opus.pro/pricing), read 28 October 2026: | Plan | Monthly | Yearly | Credits | Notable | |---|---|---|---|---| | Free | $0 | $0 | 60 a month | Watermark, up to 1080p, exports kept 3 days | | Starter | $15 | Not offered | 150 a month | Auto-post to Shorts, TikTok and Reels, no scheduler | | Pro | $29 | $14.50 a month ($174 a year) | 300 a month | Scheduler, 2 seats, 6 social accounts, API, MCP connector, dubbing | | Business | Custom | Custom | Custom | 4K, SSO, full API | Source: opus.pro/pricing (verified 2026-10-28). The page says Starter is "only available in monthly". ![OpusClip pricing page on yearly billing in US dollars, showing Starter at $15 a month monthly only with 150 credits, Pro at $14.5 a month instead of $29 with 300 credits and $174 billed annually, and Business at custom pricing](/blog/opus-clip-vs-submagic-opus-pricing.webp "OpusClip's pricing page with the yearly toggle on. Captured from opus.pro/pricing on 28 October 2026.") The help centre defines the unit: processing costs "1 credit per minute of the original video imported". Videos under a minute round up to 1 credit and partial minutes round down, so a 42.5-minute podcast costs 42 credits. Posting to X costs 3 credits per clip per X account. Unused credits roll over for one extra month on monthly plans. On yearly Pro you get all 3,600 credits up front, valid for 12 months. That 3,600 figure is a year's total, not a monthly allowance, a mix-up [we made ourselves once](/blog/opus-clip-review/). What happens to leftover credits when you cancel is covered in [do Opus Clip credits expire](/blog/do-opus-clip-credits-expire/). Opus Clip also prices by country. When we read its pricing script on 26 October 2026, the US, UK, Canada, Australia and the euro area paid the figures above, and India, Brazil and Mexico saw lower prices. ## How much does Submagic cost in 2026? US prices on [submagic.co/pricing](https://www.submagic.co/pricing), read 28 October 2026. All plans are priced per member: | Plan | Monthly | Yearly | Credits a month | Videos | Max length per video | |---|---|---|---|---|---| | Starter | $19 | $12 a month ($144 a year) | 45 | 15 | 2 minutes | | Pro | $39 | $23 a month ($276 a year) | 120 | 40 | 5 minutes | | Business | $69 | $41 a month ($492 a year) | 300 | 100 | 30 minutes | Sources: submagic.co/pricing and the help centre's [cost article](https://care.submagic.co/en/article/how-much-does-it-cost-to-use-submagic-1xm83pa/) (updated 25 October 2026), both verified 2026-10-28. Yearly billing saves "up to 41%". ![Submagic pricing page on yearly billing in US dollars, showing Starter at $12 per member per month with 45 credits for 15 videos and a 2 minute video duration, Pro at $23 with 120 credits for 40 videos and 5 minutes, and Business at $41 with 300 credits for 100 videos and 30 minutes](/blog/opus-clip-vs-submagic-submagic-pricing.webp "Submagic's pricing page with the yearly toggle on. A cookie banner covers the lower left. Captured from submagic.co/pricing on 28 October 2026.") What a credit buys, per the help centre: uploading a video costs 3 credits, AI captions are free, other AI features cost 1 to 3 credits each, and "Magic Clips cost 8 credits each". The "= 15 videos" on the Starter card is 45 credits divided by 3, so it assumes you use no other AI feature. Every extra feature lowers the video count. Plan limits worth knowing: - **No watermark on any paid plan.** Starter exports at 1080p and 30 FPS, Pro at up to 2K, Business at up to 4K and 60 FPS. - **Publishing starts on Pro.** Pro connects 1 profile per platform on TikTok, YouTube and Instagram. Business connects 3. - **Business is the only plan that fits a normal webinar.** Its 30-minute cap is the only one above 5 minutes. ## Per-minute or per-video: which is cheaper? It depends on how long your videos are, because the two tools charge for different things. **Opus Clip, per source minute:** | Plan | Monthly billing | Yearly billing | |---|---|---| | Starter | $0.100 | Not offered | | Pro | $0.097 | $0.048 | **Submagic, per uploaded video (captions only, no other AI features):** | Plan | Monthly billing | Yearly billing | Best case per minute, monthly | |---|---|---|---| | Starter | $1.27 | $0.80 | $0.63 (15 videos of 2 minutes) | | Pro | $0.98 | $0.58 | $0.195 (40 videos of 5 minutes) | | Business | $0.69 | $0.41 | $0.023 (100 videos of 30 minutes) | Calculated from the two pricing pages (2026-10-28). The Submagic "best case" column assumes every video uses its full length cap. These are not the same job. A Submagic upload is one video you caption and polish. An Opus Clip minute is input to a clipper that returns several clips. The fair comparison depends on your workflow: - **You have short videos to caption.** Opus Clip will caption them, but it bills you for every minute and its strength is finding clips you do not need found. Submagic's per-video price is the relevant one. - **You have a long video to clip.** On Opus Clip a 60-minute podcast costs 60 credits on any plan. On Submagic it is a Magic Clips job at 8 credits, but see the next section for the length question. ## Can Submagic clip long podcasts like Opus Clip? Yes, with Magic Clips, but read the conditions first. Submagic's [Magic Clips guide](https://care.submagic.co/en/article/how-to-use-magic-clips-step-by-step-guide-15mve5q/) describes turning "podcasts, interviews, or webinars" into short clips from a YouTube URL, an upload or a Google Drive link. It says processing takes 10 to 25 minutes, returns "20+ automatically generated clips", and gives each one a virality score. Three things are unclear from Submagic's own pages: 1. **How it is billed.** The cost article (25 October 2026) says "Magic Clips cost 8 credits each". The step-by-step guide (30 September 2026) calls Magic Clips "an addon subscription". The pricing page's checkout links carry an `includeMagicClips=false` setting and the Custom plan lists "Custom Magic Clips limits". Treat the 8-credit figure as current and confirm it in the app. 2. **What "each" means.** If it means each long video you submit, Starter's 45 credits cover 5 runs a month, Pro's 120 cover 15 and Business's 300 cover 37, with nothing left for other features. The article does not say. 3. **Whether the length caps apply.** The [length limit article](https://care.submagic.co/en/article/what-is-the-size-and-video-length-limit-for-each-video-in-submagic-gl84of/) sets 2, 5 and 30 minutes "per video per upload and export" and a 3,000 MB file size. It does not carve out Magic Clips sources. If the cap applies, an hour-long podcast does not fit any self-serve plan. Opus Clip has none of these questions. Its [help centre](https://help.opus.pro/docs/article/video-length) supports videos up to 10 hours, uploads of up to 10 GB on Free and Starter and 30 GB on Pro, and clip lengths from under a minute to 15 minutes. Pro adds "Topics search" and "Prompt to clip" to steer what it picks. I did not run the same podcast through both tools, so I cannot tell you which picks better moments. Our [test of the Opus Clip Virality Score](/blog/how-accurate-is-the-opus-clip-virality-score/) covers how far its scores can be trusted. ## Which has better captions, Opus Clip or Submagic? Submagic puts more into captions, by its own feature list. It claims 98.8% accuracy "under optimal conditions" in its [help centre](https://care.submagic.co/en/article/how-accurate-are-the-ai-generated-subtitles-on-submagic-1akf5xp/), lets you add a custom words dictionary on Business, translates captions, and lists premium caption templates on Pro and Business. Its language count varies by page: 48+ in the help centre, 50+ on the [languages page](https://www.submagic.co/languages-supported), whose title says 123. Opus Clip's pricing page lists "AI animated captions in 20+ languages" on Starter, and its [language list](https://help.opus.pro/docs/article/video-languages-supported) names 25. It adds keyword highlights and emoji on every plan, plus custom fonts, curse-word censoring and speech enhancement on Pro. Both accuracy claims are the vendors' own. Neither page names a test set. Our longer look at [what Submagic's caption editor does well](/blog/submagic-review-for-captions-and-edits/) is the place for style comparisons. ## Do Opus Clip and Submagic post to TikTok, Instagram and YouTube? Both do, from different plans. - **Opus Clip Starter ($15)** auto-posts to YouTube Shorts, TikTok and Instagram Reels, with no scheduler. - **Opus Clip Pro ($29)** adds a scheduler and 6 social account connections. Its help centre lists posting to X, Facebook, LinkedIn, Pinterest, Threads and Bluesky as well, and scheduling to all nine networks. X posts cost 3 credits each. - **Submagic Starter ($19)** has no publishing. - **Submagic Pro ($39)** schedules to TikTok, YouTube and Instagram with analytics, 1 profile per platform. Business allows 3 profiles per platform. So Opus Clip gets you posting at a lower price and to more networks. Submagic adds post analytics in the same place you edit. ## Is there a free version of Opus Clip or Submagic? Opus Clip has a free plan that renews: 60 credits a month, watermarked, rendered up to 1080p, with exports kept for 3 days. Starter and Pro also show a free trial with no credit card required; the page does not state its length. Submagic has a free trial rather than a plan. Its [help centre](https://care.submagic.co/en/article/does-submagic-have-a-free-trial-7opyg3/) says you can upload 3 short videos and edit them, and that subscribing lets you download without a watermark. ## Can you get a refund from Opus Clip or Submagic? Submagic says no. Its [refund article](https://care.submagic.co/en/article/do-you-have-a-refund-policy-1mlsrxg/) reads "we do not offer refunds for our SaaS". You can cancel or pause from the Stripe portal in your profile. Opus Clip refunds credits, not money, and only in narrow cases. On Pro you can refund a single project within 14 days of upload, as long as you have not downloaded a clip from it. Deleting a project does not return its credits. The full mechanics are in [how to cancel Opus Clip](/blog/how-to-cancel-opus-clip/). On a yearly plan, that is $174 (Opus Clip Pro) or $144 to $492 per member (Submagic) paid up front with no refund path on either. Use the free plan or trial first. ## Do Opus Clip and Submagic work with Claude and other AI agents? Both run MCP servers. Opus Clip lists an "MCP connector" on Pro and Business. Submagic's [MCP server](https://docs.submagic.co/mcp-server) sits at `https://api.submagic.co/mcp`, works with Claude, Claude Code and Cursor, and draws on the same API key and credits as its REST API. Submagic's pricing cards show 10 API minutes a month on Starter and 100 on Business, with extra packs from $57 a month for 250 minutes. ## Opus Clip or Submagic: which should you choose? | Your situation | Pick | Why | |---|---|---| | Weekly podcast or webinar, 30 to 120 minutes | Opus Clip | Billed per source minute, sources up to 10 hours, clipping is the core product | | Talking-head shorts under 2 minutes, captions matter most | Submagic | Per-video pricing, caption-first editor, no watermark from $12 a month yearly | | Shorts of 2 to 5 minutes | Submagic Pro | Starter's 2-minute cap rules it out | | Posting to TikTok, Reels and Shorts at the lowest price | Opus Clip Starter | Auto-posts from $15; Submagic publishing starts at $39 | | Team of 3 or more | Compare carefully | Opus Clip Pro includes 2 seats per pack, up to 4; Submagic charges per member | A worked example. A weekly 60-minute podcast is about 260 source minutes a month. On Opus Clip that fits Pro: $29 a month, or $14.50 on yearly billing. Starter's 150 credits would run out by the third episode. On Submagic, four or five Magic Clips runs cost 32 to 40 credits, which fits Starter on credits alone, but only if Magic Clips accepts a 60-minute source on your plan. Check that in the app before you pay for a year. Where ScaleReach fits, briefly, since we publish this: it is a per-minute clipper like Opus Clip, at $12 a month for 200 minutes ($0.060 a minute) or $10 a month yearly, with scheduling included from that plan. It publishes to YouTube Shorts and Instagram Reels; TikTok posts stay private until TikTok finishes auditing our app. The [full ranking of Opus Clip alternatives by price per minute](/blog/best-opus-clip-alternatives/) puts it seventh, and the [Submagic alternatives list](/blog/best-submagic-alternatives/) covers caption-first tools. ## FAQ ### Is Opus Clip or Submagic better for podcasts? Opus Clip is the better fit for podcasts. It bills per minute of source video, accepts videos up to 10 hours and is built around finding clips in long recordings. Submagic can clip long videos with Magic Clips at 8 credits each, but its plans cap each video at 2, 5 or 30 minutes, and its help centre does not say whether those caps apply to Magic Clips. ### Is Submagic cheaper than Opus Clip? For short videos, often yes; for long ones, no. Submagic Starter costs $12 a month yearly for 15 captioned videos of up to 2 minutes. Opus Clip costs $0.10 a source minute on Starter and $0.048 on yearly Pro. If your videos run longer than a few minutes, Opus Clip's per-minute price is usually cheaper and has no length cap below 10 hours. ### How do Submagic credits work? Each upload costs 3 credits, AI captions are free, other AI features cost 1 to 3 credits, and Magic Clips cost 8 credits each, per Submagic's help centre on 25 October 2026. Starter includes 45 credits a month, Pro 120 and Business 300. The "videos" figure on each plan assumes you use no AI feature beyond captions. ### How do Opus Clip credits work? One credit is one minute of the original video you import. Videos under a minute round up to one credit and partial minutes round down. Starter includes 150 credits a month and Pro 300. Monthly credits roll over for one extra month, and yearly Pro grants 3,600 credits up front, valid for 12 months. ### Does Submagic have a free plan? No, it has a free trial. Submagic's help centre says you can upload 3 short videos for free and edit them, and that a subscription removes the watermark on download. Opus Clip has a free plan instead, with 60 credits a month, watermarked exports and clips kept for 3 days. ### Do Opus Clip and Submagic offer refunds? Submagic says it does not offer refunds. Opus Clip refunds credits for a single project on Pro, within 14 days of upload and only if no clip has been downloaded; its help centre does not document a self-serve money-back route for web subscriptions. ## The bottom line Opus Clip and Submagic overlap less than their marketing suggests. Opus Clip meters minutes of long video and is built to find clips in it, with posting from its $15 plan. Submagic meters short videos, caps their length at 2, 5 or 30 minutes, and puts its effort into captions and polish. Start from the video you have. Long recordings point to Opus Clip, or to a cheaper per-minute clipper. Short videos that need better captions point to Submagic. Neither offers refunds on a plan, so use the free plan or trial before a yearly charge. --- ## Changelog **October 2026.** First published. Prices and limits read from both vendors' pricing pages and help centres from a US view on 28 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 If a number here looks wrong, email hevin@scalereach.ai and we will correct it and note the change. --- *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that competes with Opus Clip and Submagic. There is no affiliate relationship with either. Every fact about them comes from pages they control, linked and dated, and neither tool was run on our own videos for this post.* --- # Vugola Review (2026): Pricing, Credits and Limits URL: https://www.scalereach.ai/blog/vugola-review Published: 2026-10-27 · Author: Hevin K Tags: Vugola, Review, AI Clip Maker, Pricing Vugola is an AI clip maker built for AI agents as much as for people. It cuts long videos into captioned shorts, schedules them to five social networks, and puts a REST API and an MCP server on every paid plan, so Claude, ChatGPT or Cursor can clip and post for you. Plans cost $19.99, $49.99 and $99.99 a month, and one credit buys one minute of source video. That makes it one of the most expensive tools per source minute we have priced. It has no free plan, all sales are final, and it does not publish to YouTube. Disclosure: I run ScaleReach, which publishes this review and competes with Vugola. I did not pay for a Vugola plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from Vugola's own home, pricing, docs and terms pages, read on 27 October 2026. Where Vugola beats us, I say so. ## The 60-second verdict > **Choose Vugola if** you want an AI agent to do the clipping and posting, you want a YouTube channel watched and clipped automatically, or you want to tell an editor what to change in plain English. > > **Look elsewhere if** you clip several hours of video a month on a budget, need to post to YouTube Shorts, want a free plan to test with, or want a refund path. > > **Check first:** clipping costs 1 credit per started source minute. Starter's 50 credits cover one 50-minute video a month, and AI prompts and edits come out of the same balance. > > **Bottom line:** the most agent-ready product in this category, priced like a premium editor. Work out your monthly source minutes before you pay. ## What is Vugola? Vugola is a web app at vugolaai.com run by Vugola LLC, a South Dakota limited liability company, per its [terms](https://www.vugolaai.com/terms-of-service). It also has an iPhone app. Per its [home page](https://www.vugolaai.com/) and [docs](https://www.vugolaai.com/docs), it: - Runs a Clipping Agent that picks moments from a long video, frames the speaker's face and burns in branded captions. - Lets you describe the edit you want to an AI editing agent, then fine-tune cuts, captions, framing, text and images on a timeline in its Studio editor. - Captions speech in 99 languages. The FAQ says it keeps the original language "rather than translating or dubbing it". - Schedules and publishes clips from one calendar to X, Instagram, TikTok, Facebook and LinkedIn. - Runs Automations that watch a YouTube channel, clip new uploads and schedule the clips to your accounts. - Exposes all of this through a REST API and an MCP server on every paid plan. The home page says it is "Loved by 95,000+ creators". The page does not say how that was counted. ## How much does Vugola cost in 2026? The pricing page shows monthly prices by default, with an "Annual Discount, Save 20%" switch. Read on 27 October 2026, in US dollars: | Plan | Monthly | Yearly (per month) | Charged per year | AI credits | Social platforms | Automations | |---|---|---|---|---|---|---| | Starter | $19.99 | $15.00 | $179.99 | 50 a month | 2 (1 account each) | None | | Creator | $49.99 | $39.17 | $469.99 | 300 a month | 4 (1 account each) | 1 | | Pro | $99.99 | $79.17 | $949.99 | 800 a month | All 5 (1 account each) | Up to 5 | Source: [vugolaai.com/pricing](https://www.vugolaai.com/pricing) (verified 2026-10-27). Monthly prices also appear in the page's structured data. Yearly prices come from the same page's annual toggle. Every plan lists the Studio editor with AI edit, 1080p export, AI clipping and API access. Creator adds priority processing, and Pro adds priority support. ![Vugola pricing page on monthly billing in US dollars, showing Starter at $19.99 a month with 50 AI credits, Creator at $49.99 with 300 AI credits marked Most Popular, and Pro at $99.99 with 800 AI credits](/blog/vugola-pricing-plans.webp "Vugola's pricing page with the annual toggle off. A cookie banner covers the bottom of the feature lists. Captured from vugolaai.com/pricing on 27 October 2026.") A few things the cards do not make obvious: - **"Save 20%" undersells Starter.** Twelve months of Starter at $19.99 is $239.88, and the yearly price is $179.99, which is 25% off. Creator and Pro save about 22% and 21%. - **One account per platform.** Even Pro connects one account on each of the five networks. If you run several brands or client channels, that caps you at one of each. - **There is no free plan.** The pricing FAQ says "Access starts after payment", and the API docs say accounts without an active paid plan get a `subscription_required` error. - **No watermark on any plan.** The FAQ says every plan includes its full monthly credits and no watermark. ### Is Vugola free? No. There is no free tier on the pricing page. The terms describe a free trial for plans started from the iPhone app and paid on the website, where the checkout page shows how long the trial lasts and the date of the first charge. I could not find the trial's length on any public page. If you want one, check the checkout screen before you enter a card. ## How do Vugola credits work? The pricing page says "1 credit = 1 AI prompt, AI edit, or clipping minute". The docs are more exact: clipping and caption jobs cost "1 AI credit per started source minute", and Vugola shows the quote before the job starts. A 42-minute podcast costs 42 credits, however many clips come out. A 42 minute 10 second recording costs 43. The same balance pays for every AI prompt and AI edit you make in the Studio editor. Uploads, transcription in the editor and exports are free. Credits reset at the start of each billing period, and the docs say credits are refunded automatically if a job fails because the video has no speech. At one credit per source minute, the cost per minute is: | Plan | Monthly price | Credits a month | Cost per source minute, monthly | Cost per source minute, yearly | |---|---|---|---|---| | Vugola Starter | $19.99 | 50 | $0.40 | $0.30 | | Vugola Creator | $49.99 | 300 | $0.167 | $0.131 | | Vugola Pro | $99.99 | 800 | $0.125 | $0.099 | | ScaleReach Starter | $12 | 200 minutes | $0.060 | $0.050 | | ScaleReach Pro | $18 | 400 minutes | $0.045 | $0.031 | | ScaleReach Agency | $99 | 5,000 minutes | $0.020 | $0.0098 | Calculated from Vugola's pricing page and docs (2026-10-27) and [our pricing](https://www.scalereach.ai/pricing). The yearly column assumes a yearly plan gets the same monthly credits; the FAQ says every plan "includes its full monthly AI credits", but the pages do not say how a yearly plan grants them. Vugola's figures are a best case, since any AI prompt or edit also uses credits. At the same $99.99 a month, Vugola Pro gives you 800 source minutes. ScaleReach Agency at $99 gives 5,000. If you clip a weekly two-hour podcast, that is roughly 520 minutes a month, which fits Vugola Pro but not Creator. ## What videos can Vugola clip? The API docs say clipping sources must be **5 minutes to 3 hours long**, from a public YouTube or Vimeo URL or a direct MP4 link, and the app's upload screen gives the same error for files outside that range. Anything under five minutes is rejected for clipping. A separate caption job accepts videos up to 20 minutes with no minimum. Outputs are 9:16, 1:1 or 16:9, exported at 1080p. The API allows 3 clipping jobs at once per account and up to 5 new clip requests a minute. The docs say most jobs finish in 10 to 30 minutes. ## Does Vugola post to TikTok, Instagram and YouTube? TikTok and Instagram, yes. YouTube, no. The docs list exactly five scheduling targets: X, Instagram, TikTok, Facebook and LinkedIn. Instagram needs a Business or Creator account, and the docs add that Threads and Bluesky are "no longer supported". YouTube appears only as a source: Automations watch a YouTube channel and clip its new uploads. That is an odd gap for a shorts tool. If YouTube Shorts is one of your main channels, you will have to download the clips and upload them yourself. Publishing to TikTok carries a catch for every tool: TikTok restricts posts from apps it has not audited. We explain what that does to scheduled posts in [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). I did not connect an account to Vugola to test it. ## Does Vugola work with Claude and other AI agents? Yes, and this is where it stands out. Vugola runs a remote MCP server at `https://www.vugolaai.com/api/mcp` that you sign into with your Vugola account, no API key needed. Its docs list Claude Desktop, Claude Code, Cursor, Cline and Windsurf, and the home page adds ChatGPT. Through it, an agent can clip videos, download clips, schedule posts and manage Automations. There is also an older npm package, `vugola-mcp`, with the original eight tools. The REST API covers the same ground: start a clipping job, add captions, check credits, create Automations and schedule up to 25 posts per request. Every paid plan includes it. ScaleReach also has an MCP server, which we walk through in [clipping YouTube videos from Claude with our MCP server](/blog/clip-youtube-videos-with-claude-mcp/). Vugola's agent tooling is broader today: channel Automations through MCP is something we do not offer. ## Does Vugola offer refunds? No. The terms have a section headed "Refund Policy" that opens "All sales are final". Except where a refund is required by law, Vugola "does not offer refunds for any subscription, credit purchase, or other transaction once a payment has been completed", including for dissatisfaction or accidental purchases. It does not prorate partial periods. You can cancel from Settings at any time and keep access until the end of the billing period. The terms say to cancel at least 24 hours before your renewal date to avoid the next charge. If you pay through Apple in the iPhone app, cancel through Apple instead. Deleting your account ends access immediately, even with paid time left. On a yearly plan, that means up to $949.99 paid upfront with no refund path. With no free plan either, a monthly Starter is the cheapest way to test it: $19.99 for 50 source minutes. ## What do real users say about Vugola? There is very little independent evidence. Trustpilot blocked my request, so I could not check for a page or score. The iPhone app, published by Vugola LLC, shows 5.0 stars from 2 ratings on the US App Store, updated on 24 October 2026. The home page carries a wall of posts from X, which are the vendor's selection, and the 95,000 creators figure has no source. ## What does Vugola do better than ScaleReach? Four things, and they are real: - **Agent tooling.** A hosted MCP server with OAuth sign-in, plus an API on every paid plan, including channel Automations. - **YouTube channel Automations.** Point it at a channel and it clips new uploads and schedules them without you opening the app, on Creator and Pro. - **Prompt-based editing.** You can describe a change to the AI editor instead of making it by hand. - **More caption languages.** 99, against our 55. ## Vugola vs ScaleReach: which should you pick? | | Vugola | ScaleReach | |---|---|---| | Cheapest paid plan | $19.99/month, or $15/month yearly, 50 credits | $12/month, or $10/month yearly, 200 minutes | | Usage unit | 1 credit per started source minute, plus credits for AI prompts and edits | 1 credit per source minute | | Best cost per source minute | $0.099 (Pro, yearly) | $0.0098 (Agency, yearly) | | Free plan | None | 100 free minutes, watermarked | | Source length | 5 minutes to 3 hours | Up to 2 hours (Starter), 3 hours (Pro and Agency) | | Caption languages | 99 | 55, plus Hinglish captions | | Translation or dubbing | No, per its FAQ | Yes | | Direct publishing | X, Instagram, TikTok, Facebook, LinkedIn | TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn, Threads. X coming soon | | Accounts per platform | 1 on every plan | 1 to unlimited social accounts, by plan | | MCP server | Yes, hosted with OAuth, all paid plans | Yes | | Refunds | No, all sales final | Not compared here | Vugola figures from its own pages, ScaleReach figures from our pricing page and product, verified 2026-10-27. "Not compared here" means I did not verify the other side of that row. Pick Vugola if your workflow runs through an AI agent, you want a YouTube channel clipped on autopilot, and your monthly source minutes fit its credits. Pick ScaleReach if you clip hours of video a month, post to YouTube Shorts, want to [translate or dub your clips](/blog/ai-dubbing-for-shorts-natural-sounding-tools/), or want a free allowance to test with first. ## FAQ ### Is Vugola free? No. Vugola has no free plan, and its pricing FAQ says access starts after payment. Its terms mention a free trial for plans started from its iPhone app, but no public page states the trial's length. ### How much does Vugola cost? Starter is $19.99 a month, Creator $49.99 and Pro $99.99. Billed yearly they are $179.99, $469.99 and $949.99. Prices come from Vugola's pricing page, read on 27 October 2026. ### How do Vugola credits work? Clipping and caption jobs cost 1 AI credit per started source minute, quoted before the job starts. AI prompts and AI edits in the editor also use credits. Exports, uploads and editor transcription are free, and credits reset each billing period. ### Does Vugola post to YouTube Shorts? No. Its docs list five scheduling targets: X, Instagram, TikTok, Facebook and LinkedIn. YouTube is supported only as a source for clipping and Automations. ### What is the maximum video length on Vugola? Clipping sources must be between 5 minutes and 3 hours long. Caption-only jobs accept videos up to 20 minutes. ### Does Vugola offer refunds? No. Its terms say all sales are final, except where a refund is required by law, and it does not prorate partial billing periods. --- *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. Vugola is a competitor and there is no affiliate relationship. Every Vugola fact here comes from pages it controls, linked and dated, and I did not run my own videos through it.* --- # Ssemble Review (2026): Pricing, Credits and Limits URL: https://www.scalereach.ai/blog/ssemble-review Published: 2026-10-19 · Author: Hevin K Tags: Ssemble, Review, AI Clip Maker, Pricing Ssemble is an AI clip maker that cuts long videos into Shorts-ready clips and posts them to TikTok, YouTube and Instagram. For a US visitor its plans run from $6 a month to $40 a month, billed yearly, and it counts usage in an unusual way: one credit processes one video of up to 20 minutes, however many clips come out. That makes it very cheap for short sources and much less obviously cheap for long ones. It also has no refunds, and I found no free plan on its pricing page. Disclosure: I run ScaleReach, which publishes this review and competes with Ssemble. I did not pay for a Ssemble plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from Ssemble's own home, pricing and terms pages, read on 19 October 2026. Where Ssemble beats us, I say so. We also have a shorter [ScaleReach vs Ssemble comparison](/alternatives/ssemble/). ## The 60-second verdict > **Choose Ssemble if** your sources are short (20 minutes or under), you want the lowest price per video we have seen, or you want an API and autoposting from the cheapest plan. > > **Look elsewhere if** you clip hours-long podcasts or webinars, want a free plan to test with, or want a refund if it is not for you. > > **Check first:** each input video counts for at most a 20-minute segment per credit. A 60-minute recording means three segments, and the pricing page does not say how that is metered. > > **Bottom line:** cheap per credit, with rules that reward short videos. Work out what a typical month of your own sources costs in credits before you pay for a year. ## What is Ssemble? Ssemble is a web platform at ssemble.com run by Ssemble Inc., per its footer. Per its [home page](https://www.ssemble.com/), it: - Finds viral moments and cuts Shorts-ready clips with AI, and adds automatic captions. - Offers Face Tracking, which keeps faces centred in vertical formats, and a Sports Mode that follows the action instead. - Adds gameplay footage under a clip with a Game Video option. - Translates captions into other languages while keeping the original audio. - Schedules and autoposts clips to TikTok, YouTube and Instagram, spreading them over several days. - Lists an API and an MCP page in its navigation. Its home page claims "Trusted by 2.4M+ shorts clippers", "Rated 4.6 out of 5 on Google" and that "last month our users posted 404,136 clips and pulled 448 million views". These are marketing figures, and the page does not say how they were counted. ## How much does Ssemble cost in 2026? The pricing page shows yearly prices by default, with a monthly and yearly switch. Fetched from a US address on 19 October 2026, the page listed four plans in US dollars: | Plan | Price shown | Charged per year | List price (struck through) | Video credits per year | Social connections | |---|---|---|---|---|---| | Pro | $6/month | $72 | $15 | 360 | 1 | | Expert | $12/month | $144 | $30 | 840 (720 plus 120 bonus) | 3 | | Business | $24/month | $288 | $60 | 1,800 (1,440 plus 360 bonus) | Unlimited | | Custom | $40/month | $480 | $100 | 2,600 (2,000 plus 600 bonus) | Unlimited | Source: [ssemble.com/pricing](https://www.ssemble.com/pricing) (verified 2026-10-19). The page says "Save up to 60% with yearly billing". Pro lists AI Clipping, API access and Schedule and Post. Expert, Business and Custom each list everything in Pro. ![Ssemble pricing page on yearly billing in Indian rupees, showing Business at ₹1,600 a month, Expert at ₹800, Pro at ₹400 and Hobby at ₹133, each with a struck-through list price and a 60% saving](/blog/ssemble-pricing-plans.webp "Ssemble's pricing page as it renders from India. The currency and the plan lineup follow your location; the dollar prices in the table above are what a US visitor sees. Captured from ssemble.com/pricing on 19 October 2026.") A few things the cards do not make obvious: - **The plan lineup varies by region.** The rupee view I captured shows a fourth, cheaper Hobby plan with 120 credits a year and no Custom plan. The US dollar view listed Custom and no Hobby. Check which plans you are offered. - **The struck-through prices are 60% higher than what you pay.** Pro shows $15 crossed out and $6 charged. The page does not label the crossed-out figure or say the offer ends, so I treat the discounted price as the real price for now. - **I could not read monthly prices.** The page has a monthly toggle, but the version I read showed only yearly prices. If you want to pay monthly, check the toggle yourself. - **Credits are listed per year, but the FAQ says they reset "each billing cycle".** It does not say whether a yearly plan hands you all 360 credits at once or a share each month. - **Bonus credits.** Expert, Business and Custom add 120, 360 and 600 bonus credits to the base amount. They are included in the totals above. ### Is Ssemble free? I did not find a free plan. The pricing page lists only paid plans, and the home page says "Plans from $6/mo · Cancel anytime". I saw "Start Free Trial" as a button label in the site's page data, but I could not find terms for a trial: no minutes, no duration, no watermark rule. If a trial matters to you, sign up and read what it gives you before entering a card. ## How do Ssemble credits work? This is the part that decides whether Ssemble is cheap for you. The pricing page's cost table lists one tool, AI Clipping, at "1 credit per video (20 minutes)". The FAQ explains the input limit: "for each input video, you can select up to a 20-minute segment" to create clips from. Its example is a 60-minute original, from which you can take a maximum 20-minute segment. The home page repeats it as "1 credit = 20 min of video processed". I read that as one credit per segment of up to 20 minutes. What the pages do not say is whether a 60-minute video costs three credits in one run or whether you have to pick segments yourself, three times. They also do not say whether a 5-minute video costs a full credit. Assuming a 20-minute segment per credit, the cost per source minute is: | Plan | Price per year | Credits per year | Cost per credit | Cost per source minute at 20 minutes a credit | |---|---|---|---|---| | Pro | $72 | 360 | $0.20 | $0.010 | | Expert | $144 | 840 | $0.171 | $0.0086 | | Business | $288 | 1,800 | $0.16 | $0.0080 | | Custom | $480 | 2,600 | $0.185 | $0.0092 | | ScaleReach Starter, yearly | $120 | 2,400 minutes | n/a | $0.050 | | ScaleReach Pro, yearly | $150 | 4,800 minutes | n/a | $0.031 | | ScaleReach Agency, yearly | $588 | 60,000 minutes | n/a | $0.0098 | Calculated from Ssemble's pricing page (2026-10-19) and [our pricing](https://www.scalereach.ai/pricing). Ssemble's per-minute column is a best case: it only holds when every credit processes a full 20 minutes. A 7-minute video that costs one credit works out to about $0.029 a minute on Pro. If your sources are 15 to 20 minutes long, Ssemble is the cheapest tool I have priced. If you clip a two-hour podcast, the credit count is about six per episode, and the real cost depends on rules the page does not state. ## Does Ssemble post to TikTok, Instagram and YouTube? Its pricing page lists Schedule and Post from the Pro plan, with 1 social connection on Pro, 3 on Expert and unlimited on Business and Custom. The FAQ says you can schedule multiple clips over several days across TikTok, YouTube and Instagram. I did not connect an account to test it. Publishing to TikTok has a catch that applies to every tool: TikTok restricts posts from apps it has not audited. We explain what that does to scheduled posts in [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). Ssemble's pages do not mention it. ## Does Ssemble work with Claude? Ssemble lists "API" and "MCP" in its navigation, and its Pro plan lists "Access to APIs". I did not read the MCP page in enough detail to say which clients or plans it covers. ScaleReach offers an MCP server too, which we walk through in [clipping YouTube videos from Claude with our MCP server](/blog/clip-youtube-videos-with-claude-mcp/). ## Which languages does Ssemble support? The FAQ says "over 30 languages including English, Spanish, Portuguese, Russian, German, French, Italian, Dutch, Polish, and many more". It does not publish the full list on the pages I read, so check yours before paying. ScaleReach transcribes 55 languages and converts Hindi clips to [Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/). ## Does Ssemble offer refunds? No. Ssemble's [terms](https://www.ssemble.com/terms) have a section headed "No Refunds", and say unused credits "expire at the end of each billing cycle and cannot be refunded or carried forward". Subscriptions renew automatically, and the terms say you will not get a prorated refund for the rest of a period you have paid for. The pricing FAQ says you can cancel at any time without penalties and keep access until the billing period ends, and that videos you have already created stay yours. The terms add that Ssemble may grant a refund in individual cases where consumer law requires it. On a yearly plan that means you pay for 12 months upfront with no refund path, so test on a lower-commitment option first if you can. ## What do real users say about Ssemble? The independent evidence is thin in what I could reach. Trustpilot blocked my request, so I could not check for a page or a score. The home page cites a 4.6 out of 5 rating "on Google" with no link to the listing, and a 2.4M user figure with no source. I also found creator success stories on Ssemble's own blog and Instagram posts. They are marketing, not independent reviews. ## What does Ssemble do better than ScaleReach? Four things, and they are real: - **The lowest price per video we have seen** when sources are about 20 minutes long: $0.16 to $0.20 per credit. - **API access and autoposting on the cheapest plan.** Pro lists both at $6 a month yearly. - **Face Tracking and a Sports Mode** for footage where the action matters more than the speaker. - **Unlimited social connections** from the Business plan, at $24 a month yearly. ## Ssemble vs ScaleReach: which should you pick? | | Ssemble | ScaleReach | |---|---|---| | Cheapest paid plan | $6/month yearly, 360 credits a year | $12/month, or $10/month yearly, 200 minutes | | Usage unit | 1 credit per video of up to 20 minutes | 1 credit per source minute | | Best cost per source minute | $0.0080 (Business, yearly, at full 20-minute segments) | $0.0098 (Agency, yearly) | | Free plan | None found on the pricing page | 100 free minutes, watermarked, 30 minutes max per upload | | Longest source | 20-minute segment per credit | 2 hours (Starter), 3 hours (Pro and Agency) | | Languages | 30+ | 55, plus Hinglish captions | | Direct publishing | TikTok, Instagram, YouTube | TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn, Threads. X coming soon | | Refunds | No | Not compared here | | Gameplay split-screen backgrounds | Game Video option | Yes, Subway Surfers, Minecraft and others | | API | Yes, from Pro | Not compared here | Ssemble figures from its own pages, ScaleReach figures from our pricing page and product, verified 2026-10-19. "Not compared here" means I did not verify the other side of that row. Pick Ssemble if you clip short videos in volume and the 20-minute segment rule matches how you work. Pick ScaleReach if you clip podcasts or webinars of an hour or more, want a free allowance to test with, or need more than 30 languages. ## FAQ ### Is Ssemble free? I did not find a free plan on Ssemble's pricing page, which lists only paid plans from $6 a month on yearly billing. Its site shows a "Start Free Trial" button, but I could not find the trial's terms. ### How much does Ssemble cost? For a US visitor on yearly billing: Pro is $6 a month ($72 a year), Expert $12 ($144), Business $24 ($288) and Custom $40 ($480). Prices come from the pricing page, read on 19 October 2026, and the plan lineup can differ by region. ### How do Ssemble credits work? One credit processes one video of up to 20 minutes, per the pricing page and FAQ. Credits reset each billing cycle and do not roll over. ### Does Ssemble offer refunds? No. The terms have a "No Refunds" section, and unused credits expire at the end of each billing cycle and cannot be refunded. ### What is the maximum video length on Ssemble? The FAQ says you can select up to a 20-minute segment from each input video. A longer recording can still be used, but only 20 minutes of it per credit. ### Does Ssemble support other languages? Yes. It says "over 30 languages" for clipping and can translate captions while keeping the original audio. The full list is not on the pages I read. --- *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. Ssemble is a competitor and there is no affiliate relationship. Every Ssemble fact here comes from pages it controls, linked and dated, and I did not run my own videos through it.* --- # LumiClip Review (2026): Pricing, Free Plan and Limits URL: https://www.scalereach.ai/blog/lumiclip-review Published: 2026-10-18 · Author: Hevin K Tags: LumiClip, Review, AI Clip Maker, Pricing LumiClip is an AI clip maker that finds the best moments in long videos, reframes them to vertical 9:16, adds captions and can publish the result. Its paid plans start at $9.99 a month for 6 hours of video, or $59.94 a year for 72 hours. On yearly billing that works out to about 1.4 cents per minute of source video on Starter and 1 cent on Pro, which is cheaper per minute than our own plans. The catches are a free plan that is a single hour rather than a monthly allowance, no refunds on unused time, and very little independent evidence about the product. Disclosure: I run ScaleReach, which publishes this review and competes with LumiClip. I did not pay for a LumiClip plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from LumiClip's own home, pricing and terms pages, read on 19 October 2026. Where LumiClip beats us, I say so. ## The 60-second verdict > **Choose LumiClip if** you want a low cost per source minute, 4-hour uploads, an agent that watches a YouTube or Twitch channel and clips it for you, or a one-off $7.99 pack instead of a subscription. > > **Look elsewhere if** you want a free plan that renews each month, a refund if you stop using it, or independent reviews to check the vendor's claims against. I could not find any. > > **Check first:** the home page and the pricing page disagree about the free plan. The home page describes 60 minutes a month, the pricing page says 60 credits once. > > **Bottom line:** a cheap, fairly complete clipper with a thin public track record. Use the free hour to judge the clips before paying, and prefer monthly billing until you have. ## What is LumiClip? LumiClip is a web app at lumiclip.ai. Its footer reads "© 2026 LumiClip" and neither the home page nor the terms name a legal entity or country. Per its [home page](https://www.lumiclip.ai/), it: - Finds the strongest moments in a long recording and cuts them into short clips. - Reframes 16:9 video to 9:16 and keeps the active speaker centred. - Adds captions in "30+ languages" with automatic language detection. - Offers B-roll, silence and filler-word removal, brand templates and a transcript-based editor. - Lists TikTok, Instagram Reels, YouTube Shorts and LinkedIn for publishing, with Facebook mentioned in the agent section and FAQ. - Runs an "automation agent" that watches a YouTube or Twitch channel, clips it and publishes automatically. - Exposes an MCP server at `mcp.lumiclip.ai/mcp`, listed for Claude, Claude Desktop and Cursor, plus an API. The home page claims "Trusted by 5,000+ creators" and "+100K Clips Generated". It does not say where either figure comes from. ## How much does LumiClip cost in 2026? LumiClip bills in credits, and one credit is one minute of video processing. Prices below are in US dollars as the pricing page showed them on 19 October 2026. | Plan | Monthly billing | Yearly billing | Credits | Social accounts | Brand templates | |---|---|---|---|---|---| | Free | $0 | $0 | 60 once (1 hour) | None, no posting | None | | Try-Out | $7.99 one-time | n/a | 180 once (3 hours) | 1, 10 posts a month | None | | Starter | $9.99/month | $59.94 a year, shown as $5/month | 360 a month, or 4,320 a year (72 hours) | 6, 100 posts a month | 2 | | Pro | $24.99/month per pack | $149.94 a year, shown as $12.49/month | 1,200 a month, or 14,400 a year (240 hours) | 20, unlimited posts | 10 | Source: [lumiclip.ai/pricing](https://www.lumiclip.ai/pricing) (verified 2026-10-19). The page's yearly toggle is badged "50% OFF". ![LumiClip pricing page on yearly billing, showing Try-Out at $7.99 one-time with 180 credits, Starter at $5 a month with 4,320 credits a year and Pro at $12.49 a month with 14,400 credits a year](/blog/lumiclip-pricing-plans.webp "LumiClip's pricing page on yearly billing, with the cookie notice in front of the lower cards. Captured from lumiclip.ai/pricing on 19 October 2026.") A few things the cards do not make obvious: - **The yearly price is a discount against LumiClip's own monthly rate, not a countdown promotion.** The yearly view strikes through $9.99 and $24.99 and shows $5 and $12.49. The monthly view shows no discount. The page does not say the yearly price is temporary, but it does not promise it will stay either. - **Pro scales in packs.** The Pro card has a "1 pack" selector. I only priced one pack. - **Yearly credits look like one annual pool.** The card says "4,320 credits per year", and the FAQ says credits "reset at the start of each billing cycle (monthly or annually)". I read that as one pool for the year, but the page does not say whether you can burn a year of credits in the first month. - **Credits cover more than clipping.** The FAQ says one credit covers "AI clipping, transcription, and applying brand templates", and that exporting clips costs nothing extra. It does not say whether re-running a video costs credits again. - **Plan features stack.** Starter and Pro both list "2-3x more clips per video" and a priority queue. Only Pro lists "Advanced AI Models" and the automation agent. ### Is LumiClip free? Partly. The pricing page lists a Free plan at $0 with "60 credits (one-time)", 1 hour of video processing, uploads up to 1 hour and 1 GB, 720p export with a watermark, 3-day storage and no social posting. That is a trial, not a renewing allowance. The home page tells a different story. The summary I read says the free plan is limited to 60 minutes of processed video a month. I treat the pricing page as authoritative because it is the page you pay on, but the two pages should say the same thing, and if you are counting on a monthly free allowance, ask LumiClip before you rely on it. ## How does LumiClip compare on cost per source minute? Because one credit is one minute, the arithmetic is direct: | Plan | Price | Minutes | Cost per source minute | |---|---|---|---| | Try-Out | $7.99 one-time | 180 | $0.044 | | Starter, monthly | $9.99 a month | 360 a month | $0.028 | | Starter, yearly | $59.94 a year | 4,320 a year | $0.014 | | Pro, monthly | $24.99 a month | 1,200 a month | $0.021 | | Pro, yearly | $149.94 a year | 14,400 a year | $0.010 | | ScaleReach Starter, yearly | $10 a month | 200 a month | $0.050 | | ScaleReach Pro, yearly | $12.50 a month | 400 a month | $0.031 | | ScaleReach Agency, yearly | $49 a month | 5,000 a month | $0.0098 | Calculated from LumiClip's pricing page (2026-10-19) and [our pricing](https://www.scalereach.ai/pricing). ScaleReach monthly billing is $12 for 200 minutes on Starter and $18 for 400 on Pro. At the same billing cycle, LumiClip is cheaper than ScaleReach per source minute on every plan except our Agency plan, which lands at about the same figure as LumiClip Pro on yearly billing ($0.0098 against $0.0104). A cheaper minute only helps if the clips are good, and the credit rules above decide how many of those minutes you actually spend. ## Does LumiClip post to TikTok, Instagram and YouTube? The pricing page lists social posting from Try-Out upward: one connected account and 10 posts a month on Try-Out, 6 accounts and 100 posts a month on Starter with an auto-scheduler, and 20 accounts with unlimited posts on Pro. The Free plan lists "No social media posting". I did not connect an account to test it. Publishing to TikTok has a catch that applies to every tool, not just this one: TikTok restricts posts from apps it has not audited. We explain what that does to scheduled posts in [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). LumiClip's pages do not say how it handles that. ## Does LumiClip work with Claude? LumiClip says it does. Its home page gives a hosted MCP endpoint at `mcp.lumiclip.ai/mcp` and an npm package, `@lumiclip/mcp-server`, and lists Claude, Claude Desktop and Cursor as clients. The pricing page does not say which plans include MCP or the API. ScaleReach offers the same kind of setup, which we walk through in [clipping YouTube videos from Claude with our MCP server](/blog/clip-youtube-videos-with-claude-mcp/). ## Which languages does LumiClip support? LumiClip says "30+ languages" for captions and detects the spoken language automatically. It does not publish the list on the pages I read, so check yours before paying. ScaleReach transcribes 55 languages and converts Hindi clips to [Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/). ## Does LumiClip offer refunds? Not for unused time. LumiClip's [terms](https://www.lumiclip.ai/terms) say it "does not refund partial periods unless required by law". You can cancel from your dashboard at any time, cancelling stops the next renewal, and you keep your plan features and credits until the billing period ends. The FAQ adds that your first payment is taken immediately, and that on an annual plan you are charged the discounted total for the full year. Credits "do not roll over unless the plan says otherwise". That combination matters on yearly billing: you pay for 12 months upfront with no refund path. Monthly billing costs about twice as much per minute, but it is the safer way to test. ## What do real users say about LumiClip? I could not find independent evidence. Trustpilot blocked my request, so I could not check whether it has a page or a score, and I did not find a G2 listing or app-store rating. The home page shows labels such as "Score 96" on a hero graphic without explaining them, and the "5,000+ creators" figure is unsourced. That does not mean the product is weak, only that you are relying on LumiClip's own claims. ## What does LumiClip do better than ScaleReach? Four things, and they are real: - **A lower cost per minute** on Starter and Pro at both billing cycles. Pro yearly is about a third of what our Pro costs per source minute. - **Longer uploads.** Videos up to 4 hours on paid plans, against 2 hours on our Starter and 3 on Pro. - **A channel-watching agent** that clips a YouTube or Twitch channel and publishes without you pasting links. - **A one-time pack.** $7.99 buys 3 hours with no watermark and no subscription. ## LumiClip vs ScaleReach: which should you pick? | | LumiClip | ScaleReach | |---|---|---| | Cheapest paid plan | $9.99/month for 360 minutes ($5/month yearly) | $12/month for 200 minutes ($10/month yearly) | | Best cost per source minute | $0.010 (Pro, yearly) | $0.0098 (Agency, yearly) | | Free plan | 60 minutes once, 720p, watermarked, no posting | 100 free minutes, watermarked, 30 minutes max per upload | | Longest source | 4 hours | 2 hours (Starter), 3 hours (Pro and Agency) | | Languages | 30+ | 55, plus Hinglish captions | | Direct publishing | TikTok, Instagram, YouTube, LinkedIn (Facebook mentioned) | TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn, Threads. X coming soon | | Gameplay split-screen backgrounds | Not listed | Yes, Subway Surfers, Minecraft and others | | MCP server | Yes | Yes | LumiClip figures from its own pages, ScaleReach figures from our pricing page and product, verified 2026-10-19. Pick LumiClip if cost per minute is your main concern and you will check the clips with the free hour first. Pick ScaleReach if you need more than 30 languages, gameplay split-screen shorts or agency volume, where our Agency plan matches LumiClip's best per-minute price with 5,000 minutes a month. ## FAQ ### Is LumiClip free? LumiClip has a Free plan of 60 credits, one hour of video, given once. Exports are 720p with a watermark, uploads are capped at 1 hour and 1 GB, and there is no social posting. Its home page describes a monthly limit, so confirm which applies before you rely on it. ### How much does LumiClip cost? Starter is $9.99 a month for 360 minutes, or $59.94 a year for 4,320. Pro is $24.99 a month for 1,200 minutes, or $149.94 a year for 14,400. A one-time Try-Out pack is $7.99 for 180 minutes. Prices are in US dollars from the pricing page, read on 19 October 2026. ### What does a LumiClip credit cover? One credit is one minute of video processing. Per the FAQ it covers AI clipping, transcription and applying brand templates, and exporting clips costs no extra credits. ### Does LumiClip offer refunds? Not for unused time. The terms say it "does not refund partial periods unless required by law". You can cancel any time and keep access until the period ends. ### Does LumiClip add a watermark? Only on the Free plan, which exports 720p clips with a watermark. Try-Out, Starter and Pro list no watermark and 1080p export. ### How many hours of video does LumiClip process? Starter includes 6 hours a month, or 72 a year. Pro includes 20 hours a month, or 240 a year, per pack. Try-Out includes 3 hours once. --- *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. LumiClip is a competitor and there is no affiliate relationship. Every LumiClip fact here comes from pages it controls, linked and dated, and I did not run my own videos through it.* --- # VDClip Review (2026): Pricing, Free Plan and Limits URL: https://www.scalereach.ai/blog/vdclip-review Published: 2026-10-17 · Author: Hevin K Tags: VDClip, Review, AI Clip Maker, Pricing VDClip is a Brazilian AI clip maker that turns long videos into vertical, captioned clips, scores each one for viral potential and publishes them to six social networks. For a US visitor its plans run from $6.56 a month for 150 minutes of video to $246.48 a year for 200 hours. On annual billing that is about 2 cents per minute of source video, which puts it among the cheapest clippers we track. The catch is that the prices you see today carry a 20% or 50% discount that the page does not date. Disclosure: I run ScaleReach, which publishes this review and competes with VDClip. I did not pay for a VDClip plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from VDClip's own home, pricing, MCP and terms pages, read on 17 October 2026, plus its app store listings. Where VDClip beats us, I say so. ## The 60-second verdict > **Choose VDClip if** you want a low cost per source minute on annual billing, a free plan that renews every month, publishing to six networks from one tool, or AI replies to comments and DMs on Instagram, Threads and YouTube. > > **Look elsewhere if** you need a free plan without a watermark, transcription in more than about 30 languages, or independent reviews to check the vendor's claims against. I could find almost none. > > **Check first:** the current prices carry a 20% discount on monthly billing and 50% on annual. Without it, the per-minute cost roughly doubles on annual plans. > > **Bottom line:** a full-featured clipper priced aggressively for now, with a thin public track record outside Brazil. Use the 30 free minutes to judge the clips, and lock in a price you would still pay without the promotion. ## What is VDClip? VDClip is a web app at vdclip.com, with iOS and Android apps, run by VDClip Tecnologia da Informação Ltda, a Brazilian company, per its site footer. Its home page calls it "Brazil's #1 choice for AI video clipping" and claims 120K+ creators and 2M+ clips generated. Per its [home page](https://vdclip.com/) and [pricing page](https://vdclip.com/pricing/), it: - Takes a link or a file. The pricing table lists local video, YouTube, Google Drive, Twitch, Vimeo, Dailymotion, Kwai and TikTok as import sources. The home page says videos can be up to 10 hours long. - Scores every clip from 0 to 100 for viral potential, based on tone of voice, expression and pacing. - Reframes to follow whoever is speaking, with split-screen when two people are on camera. - Captions in "30+ languages" with 32 animated styles. - Removes silences and filler words in one click, on Premium and up. - Publishes and schedules to TikTok, Instagram, YouTube, Facebook, LinkedIn and Threads, with AI-written titles, descriptions and hashtags. - Includes a browser video editor with a multi-track timeline, chroma key and B-roll. - Exposes an MCP server, so Claude, ChatGPT, Claude Code or Cursor can clip and schedule videos by text command. ## How much does VDClip cost in 2026? VDClip localises its prices by visitor location. Its pricing page asks the payment processor, Paddle, for a price based on your IP address, so a visitor in Brazil sees reais, a visitor in India sees rupees and a US visitor sees dollars. The US prices below are the ones the page renders when Paddle is given a US address. | Plan | Monthly billing | Annual billing | Credits (1 credit = 1 minute of video) | Watermark | Social profiles per platform | |---|---|---|---|---|---| | Free | $0 | $0 | 30 minutes a month | Yes | 1 | | Lite | $6.56/month (list $8.20) | No annual plan | 150 a month (2.5 hours) | No | 2 | | Premium | $15.46/month (list $19.32) | $115.85 a year, shown as $9.65/month (list $231.70) | 420 a month, or 5,040 a year | No | 6 | | Ultimate, 1 pack | $32.86/month (list $41.08) | $246.48 a year, shown as $20.54/month (list $492.96) | 1,000 a month, or 12,000 a year | No | 10 | Source: [vdclip.com/pricing](https://vdclip.com/pricing/) (verified 2026-10-17), US prices as returned by the page's Paddle price preview. The page says all displayed prices include applicable taxes. ![VDClip pricing page on annual billing in Indian rupees, showing Lite at ₹622.98 a month with no annual plan and 150 credits, Premium at ₹916.81 a month billed ₹11,001.75 a year with 5,040 credits, and Ultimate at ₹1,950.59 a month billed ₹23,407.09 a year with 12,000 credits and a 1 to 15 pack slider](/blog/vdclip-pricing-plans.webp "VDClip's pricing page as it renders from India. The currency follows your IP address; US visitors see the dollar prices in the table above. Captured from vdclip.com/pricing on 17 October 2026.") A few things the cards do not make obvious: - **The prices are discounted.** Every paid plan shows a struck-through list price. Monthly billing is 20% off and annual billing is 50% off. The Paddle price preview the page loads marks both discounts as recurring, so they appear to apply to renewals too, but the page does not say when the offer ends. - **Ultimate scales in packs.** A slider buys more packs: up to 15 on annual and up to 5 on monthly, each adding 1,000 credits a month. I only priced one pack. - **Credits are charged by input length.** The FAQ says a 60-minute video uses 60 credits however many clips it returns. On monthly plans, credits stay valid for 60 days. - **Lite's yearly view is the monthly price.** Lite has no annual plan, and the card says so. - **Lite's hours are rounded up.** The card says 150 credits equals "3h of video per month". At 1 credit per minute, 150 credits is 2.5 hours. ### Is VDClip free? Yes. The pricing FAQ calls it "a permanent Free plan with 30 minutes of video per month", not a trial, and no card is required. The plan comparison table puts a watermark on Free clips, keeps projects for 5 days and caps the browser editor at 250 MB files. It does include publishing to all six networks, with up to 4 posts a day and 60 a month. One inconsistency: the home page's Free card lists a virality score, while the comparison table marks "AI curation and virality score" as not included on Free. ## How does VDClip compare on cost per source minute? VDClip prices by minutes of input video, the same unit we use, so the comparison is direct: | Plan | Price | Minutes / month | Cost per source minute | |---|---|---|---| | VDClip Lite, monthly | $6.56/month | 150 | $0.044 | | VDClip Premium, monthly | $15.46/month | 420 | $0.037 | | VDClip Premium, annual | $115.85/year | 420 | $0.023 | | VDClip Ultimate, monthly | $32.86/month | 1,000 | $0.033 | | VDClip Ultimate, annual | $246.48/year | 1,000 | $0.021 | | VDClip Premium, annual, at list price | $231.70/year | 420 | $0.046 | | ScaleReach Starter, annual | $10/month | 200 | $0.050 | | ScaleReach Pro, annual | $12.50/month | 400 | $0.031 | | ScaleReach Agency, annual | $49/month | 5,000 | $0.0098 | VDClip figures from its pricing page, ScaleReach figures from our [pricing page](/pricing/), both verified 2026-10-17. Per-minute figures are my arithmetic. At today's prices VDClip undercuts us below the agency tier. Premium on annual billing costs about 2.3 cents a minute against 3.1 cents on our Pro plan, and Lite is cheaper than our Starter for a small monthly volume. Our Agency plan is cheaper per minute once you need thousands of minutes a month. Without the 50% promotion, VDClip's annual plans would cost about 4.6 cents a minute, close to Opus Clip territory. For the wider field, see our [clip tools ranked by cost per source minute](/blog/best-opus-clip-alternatives/). ## Can VDClip post to TikTok and Instagram? Its plan comparison table says yes, on every plan including Free: publishing and scheduling to TikTok, YouTube, Instagram, Facebook, LinkedIn and Threads. The limits are posting volume and accounts. Free allows 4 posts a day and 60 a month on 1 profile per platform, and Ultimate allows 150 a day and 1,600 a month on 10. I did not connect an account to test it. One wording difference to check before you pay: the Premium card lists "Auto-posting to TikTok or download" as a Premium extra, while the table lists TikTok publishing from Free. My reading is that the card refers to automatic posting rather than manual publishing, but VDClip does not explain the difference. Premium and Ultimate also add something most clippers do not offer: AI replies to comments on posts published through VDClip, and automatic DMs to people who comment, on Threads, Instagram and YouTube. Ultimate extends replies to posts not published through VDClip. Our scheduler covers TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn and Threads, with X coming soon, and has no comment automation. We compared [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/) in more detail. ## Does VDClip work with Claude and ChatGPT? Yes. VDClip runs a remote MCP server at `mcp.vdclip.com/mcp` that connects to Claude, ChatGPT, Claude Code and Cursor with an OAuth sign-in rather than an API key. Its [MCP page](https://vdclip.com/mcp/) says an agent can send a video, read the transcript, list scored clips, render them and publish or schedule them. The pricing table marks MCP as available on every plan, including Free. A conventional API is listed on Ultimate only. ScaleReach offers the same kind of setup, which we walk through in [clipping YouTube videos from Claude with our MCP server](/blog/clip-youtube-videos-with-claude-mcp/). ## Which languages does VDClip support? VDClip says "30+ languages" for captions. It does not publish the list on the pages I read, so check yours before paying. Its caption accuracy figure is also inconsistent: the site menu says 97.8% and the home page body says 98.9%, with no method given for either. ScaleReach transcribes 55 languages and converts Hindi clips to [Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/). ## Does VDClip offer refunds? Only on your first subscription. VDClip's [terms](https://vdclip.com/terms/) give a 14-day window from the first subscription date for a full refund, and say refunds are not granted for automatic renewals or when the service "has been extensively used in a manner that suggests bad faith". Cancelling from the profile page stops future charges, and the plan stays active until the end of the paid period. Payments are processed by Paddle. ## What do real users say about VDClip? There is very little independent evidence. VDClip's home page shows "4.9/5" next to its creator count without saying where the rating comes from. I found no Trustpilot page (trustpilot.com/review/vdclip.com returned a 404) and no G2 listing. Its [iOS app](https://apps.apple.com/us/app/vdclip-ai-powered-videos/id6807548547) "hasn't received enough ratings or reviews to display an overview", and its Android app showed 1K+ downloads with no rating when I checked. The testimonials on the home page are from Brazilian creators named by VDClip. That does not mean the product is weak, only that you are relying on VDClip's own claims. ## What does VDClip do better than ScaleReach? Five things, and they are real: - **Lower cost per minute below agency volume**, at today's promotional prices. Premium annual is about $0.023 a minute against $0.031 on our Pro. - **A free plan that renews.** 30 minutes every month, against our 100 minutes once. - **Comment and DM automation** on Instagram, Threads and YouTube from Premium. - **Longer sources and clips.** Videos up to 10 hours, and clip lengths up to 15 to 30 minutes on Premium and Ultimate. Our plans take files up to 2 or 3 hours. - **More import sources**, including Google Drive, Vimeo, Dailymotion and Kwai. ## VDClip vs ScaleReach: which should you pick? | | VDClip | ScaleReach | |---|---|---| | Cheapest paid plan | $6.56/month, 150 minutes (20% off list) | $10/month annual ($12 monthly), 200 minutes | | Best cost per source minute | $0.021 (Ultimate, annual, promotional) | $0.0098 (Agency, annual) | | Free plan | 30 minutes a month, renews, watermarked | 100 free minutes, watermarked, 30 minutes max per upload | | Longest source | 10 hours | 2 hours (Starter), 3 hours (Pro and Agency) | | Languages | 30+ | 55, plus Hinglish captions | | Direct publishing | TikTok, Instagram, YouTube, Facebook, LinkedIn, Threads | TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn, Threads. X coming soon | | Comment and DM automation | Premium and up | No | | Virality score | Yes, 0 to 100 (Lite and up per the table) | Yes, 0 to 100 | | Gameplay split-screen backgrounds | Not listed | Yes, Subway Surfers, Minecraft and others | | MCP server | Yes, all plans | Yes | VDClip figures from its own pages, ScaleReach figures from our pricing page and product, verified 2026-10-17. Pick VDClip if you clip a few hours a month, the current promotional price is the one you care about, and comment automation or 10-hour sources matter to you. Pick ScaleReach if you need more than 30 languages, gameplay split-screen shorts, or agency volume, where our Agency plan costs less than half as much per minute. ## FAQ ### Is VDClip free? Yes, VDClip has a permanent free plan with 30 minutes of video a month, renewed monthly, and no credit card is required. Its plan comparison table says free clips carry a watermark and projects are kept for 5 days. Free still includes captions and publishing to TikTok, Instagram, YouTube, Facebook, LinkedIn and Threads, capped at 4 posts a day. ### How much does VDClip cost? For a US visitor, Lite is $6.56 a month for 150 minutes, Premium is $15.46 a month or $115.85 a year for 420 minutes a month, and Ultimate starts at $32.86 a month or $246.48 a year for 1,000 minutes a month. Those prices include a 20% discount on monthly billing and 50% on annual. Prices are localised, so other countries see different amounts. ### Is VDClip cheaper than Opus Clip? At current prices, yes. VDClip Premium on annual billing works out to about $0.023 per source minute and Lite to about $0.044, against about $0.10 on Opus Clip's Starter plan, as listed in our [Opus Clip alternatives comparison](/blog/best-opus-clip-alternatives/). Without VDClip's 50% annual discount, its annual plans would cost about $0.046 a minute, which is still cheaper but by a smaller margin. ### Does VDClip have a watermark? Only on the free plan. VDClip's comparison table marks "No watermark" as not included on Free and included on Lite, Premium and Ultimate, and each paid plan card lists "No watermark". All plans export 1080p MP4. I did not export a clip to confirm this. ### Does VDClip offer refunds? Yes, within 14 days of your first subscription, per VDClip's terms. Renewals are not refunded, and VDClip can refuse a refund if the plan was heavily used before the request. Cancelling from your profile page stops future charges, and the plan stays active until the end of the period you paid for. ### Is VDClip legit? VDClip is a registered Brazilian company, VDClip Tecnologia da Informação Ltda, and takes payments through Paddle. What it lacks is independent reviews: I found no Trustpilot page, no G2 listing and no iOS rating, so its "4.9/5" and "120K+ creators" claims cannot be checked from outside. Try the free 30 minutes before paying, and use the 14-day refund window if the clips disappoint. ## The bottom line VDClip packs a lot into a low price: a recurring free plan, a virality score, speaker-tracking reframes, publishing to six networks, comment and DM automation, a browser editor and an MCP server on every plan. At today's promotional prices it costs about 2 cents per source minute on annual billing, less than our Pro plan. The two things to weigh are the promotion and the evidence. The 20% and 50% discounts are not dated, and without them the annual per-minute cost roughly doubles. There is almost no independent review of VDClip outside its own site. Test the free minutes on your own footage, check that your language is covered, and compare against the [alternatives ranked by cost per source minute](/blog/best-opus-clip-alternatives/) or our head-to-head [ScaleReach vs Opus Clip](/alternatives/opus-clip/) page. If a number here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. VDClip pricing, plan comparison table and FAQ read from vdclip.com/pricing on 2026-10-17. US prices taken from the page's Paddle price preview with a US address; the screenshot shows the page as rendered from India. Features from its home and MCP pages, refund terms from its terms page, app details from the App Store and Google Play, all on the same date. No Trustpilot page or G2 listing found. ScaleReach figures from our pricing page and product on the same date. This review is sourced, not hands-on. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether the 20% and 50% discounts are still applied; the language list behind "30+ languages"; which caption accuracy figure is current; whether Free includes the virality score; Trustpilot, G2 and app store ratings. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. VDClip is a competitor and there is no affiliate relationship. Every VDClip fact here comes from pages it controls or public app stores, linked and dated, and I did not run my own videos through it.* --- # Choppity Review (2026): Pricing, Free Plan and Limits URL: https://www.scalereach.ai/blog/choppity-review Published: 2026-10-16 · Author: Hevin K Tags: Choppity, Review, AI Clip Maker, Pricing Choppity is an AI video editor that turns long videos and podcasts into short clips, with a transcript editor, profanity censoring and a social scheduler built in. Its paid plans are $24, $32 and $48 a month, or $16.80, $22.40 and $33.60 a month billed yearly, for 3 to 5 hours of AI video analysis. That works out to between $0.075 and $0.16 per minute of source video, depending on plan and billing, which is more than most clippers that price by the minute. Disclosure: I run ScaleReach, which publishes this review and competes with Choppity. I did not pay for a Choppity plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from Choppity's own pricing, feature, API and help pages, read on 16 October 2026, plus its public Trustpilot page. Where Choppity beats us, I say so. ## The 60-second verdict > **Choose Choppity if** you want to edit clips by editing the transcript, need swear words beeped automatically, work in a language most clippers skip (it lists 97), or want a REST API with webhooks at $22.40 a month. > > **Look elsewhere if** you need low cost per source minute, a free plan you can actually download from, or publishing to TikTok and Instagram today. Choppity's own scheduler FAQ says it currently publishes directly to YouTube only. > > **Check first:** the Team card and the Team FAQ describe two different plans, and Creator and Team both have a usage slider whose add-on price is not shown until you move it. > > **Bottom line:** a well-built clipping editor with more editing tools than most, priced per hour of analysis at the top of the category. Try the free hour to judge the clips, then decide whether the editor is worth the premium. ## What is Choppity? Choppity is a web app at choppity.com, run by Mizko Media Pty Ltd according to its site footer. It finds the strongest moments in a long video and turns them into vertical, square or horizontal clips with captions. Per its [home page](https://www.choppity.com/), it: - Takes a pasted YouTube link or an uploaded file (MP4, MOV, AVI "and more"). - Says it generates 20 to 50+ clips from one long video, and processes a video in 5 to 15 minutes depending on length. - Edits through the transcript: delete a word and Choppity cuts it from the video. You can drop an image or a B-roll clip onto any part of the transcript. - Detects swear words and beeps or mutes them with one toggle. - Generates captions it describes as "97%+ accurate", with animated styles modelled on creators like Alex Hormozi. - Reframes landscape video to 9:16, 1:1 and 16:9. - Posts or schedules clips from a content calendar, with an ideas board for planning. - Claims "500,000+ users worldwide". ## How much does Choppity cost in 2026? | Plan | Monthly billing | Yearly billing | AI video analysis / month | Exports | Social accounts | Seats | |---|---|---|---|---|---|---| | Free | $0 | $0 | 1 hour | None | None | 1 | | Starter | $24/month | $16.80/month ($201.60 a year) | 3 hours | 1080p and 4K | 1 | 1 | | Creator | $32/month | $22.40/month | 5 hours (slider) | 1080p and 4K | 3 | 1 | | Team | $48/month | $33.60/month | 5 hours (slider) | 1080p and 4K | 6 | Unlimited | | Enterprise | Custom | Custom | Custom | 1080p and 4K | Unlimited | Custom | Source: [choppity.com/pricing](https://www.choppity.com/pricing) (verified 2026-10-16). The page opens on yearly billing, which it labels "30% off". It prints a yearly total only for Starter. At $22.40 and $33.60 a month, Creator and Team would come to $268.80 and $403.20 a year. Those totals are my arithmetic, not figures from the page. ![Choppity pricing page on yearly billing showing Free at $0, Starter at $16.80 a month ($201.60 billed yearly, crossed-out $24), Creator at $22.40 (crossed-out $32) with a 5 hours slider, and Team at $33.60 (crossed-out $48) with a 5 hours slider](/blog/choppity-pricing-plans.webp "Choppity's pricing page opens on yearly billing. Creator and Team carry a usage slider set to 5 hours. Captured from choppity.com/pricing on 16 October 2026.") What else each plan adds, from the same page: - **Storage.** Free keeps projects for 3 days with 2 GB of cloud storage. Starter keeps them 30 days with 40 GB. Creator (100 GB) and Team (200 GB) keep them forever. - **Creator** adds bulk uploads of up to 10 links or videos, custom fonts, one brand template, saved brand assets and API access. - **Team** adds five brand templates, a shared workspace, user roles, team billing and usage reporting. - **Usage resets** to zero on the first day of every calendar month. The page does not say unused hours roll over. - **Refunds** are available if you ask within 14 days of a payment. After that, partial months are not refunded, and cancelling ends access at the end of the billing period. Three things on the page do not line up: - **The Team plan is described twice.** The card says unlimited seats, 5 hours and 200 GB. The FAQ says Team plans start at 3 seats, with each seat bringing 3 hours of video upload a month, 60 GB and 3 custom templates. I could not tell which is current. - **The slider has no visible price.** The FAQ says a "Creator pack" adds 0.5 hours of video upload a month and 10 GB of storage, and that you buy more packs with the slider. The page does not show what a pack costs at the default position. - **"Hours" means two things.** The cards say hours of AI video analysis. The FAQ says hours of video upload. I read both as hours of source video, but Choppity does not define it. ### Is Choppity free? Yes, but the free plan is a preview. It includes 1 hour of AI video analysis a month, the editor, the clipper, captions and transcription, with 3-day project storage. The plan comparison table lists exports and downloads as not included on Free, and scheduling as not included either. So you can see what Choppity picks from your video, but you need a paid plan to download a clip. No credit card is needed to sign up. ## How does Choppity compare on cost per source minute? Choppity prices by hours of AI video analysis, which I read as hours of source video. Dividing the plan price by the minutes it includes gives a per-minute figure you can compare with other per-minute tools: | Plan | Price | Minutes / month | Cost per source minute | |---|---|---|---| | Choppity Starter, yearly | $16.80/month | 180 | $0.093 | | Choppity Starter, monthly | $24/month | 180 | $0.133 | | Choppity Creator, yearly | $22.40/month | 300 | $0.075 | | Choppity Creator, monthly | $32/month | 300 | $0.107 | | Choppity Team, yearly | $33.60/month | 300 | $0.112 | | ScaleReach Starter, annual | $10/month | 200 | $0.050 | | ScaleReach Pro, annual | $12.50/month | 400 | $0.031 | | ScaleReach Pro, monthly | $18/month | 400 | $0.045 | Choppity figures from its pricing page, ScaleReach figures from our [pricing page](/pricing/), both verified 2026-10-16. Creator and Team assume the slider stays at its default 5 hours. Creator on yearly billing is Choppity's best rate, at about 7.5 cents a minute. That is more than double what our Pro plan costs on annual billing, and more than 2short.ai, Vizard or Descript charge at their entry plans in our [clip tools ranked by cost per source minute](/blog/best-opus-clip-alternatives/). It does undercut Opus Clip Starter's $0.10. Team costs more per minute than Creator for the same 5 hours, so you are paying for the seats and the shared workspace, not more clipping. ## How many clips does Choppity make from one video? Choppity says 20 to 50+ short clips from one long video, depending on its length, and its headline says "30+ clips". I did not test that. For scale, across 1,224 source videos in our own pipeline, the mean clip count was 5.4 for a 15-to-30-minute source and 18 for a source over an hour, as published in our [ranking of AI video clipping tools](/blog/best-ai-video-clipping-tools/). A tool returning 30 or more clips is either cutting shorter or keeping more marginal moments. Which of those Choppity does, only a test on your own footage will show. ## Which languages does Choppity support? Choppity's help centre says it supports [97 languages for transcription and clip generation](https://help.choppity.com/articles/6828649-supported-languages-and-accuracy-expectations), including English, Spanish and Hindi. The same article says caption translation inside the editor "is limited today" and suggests exporting a TXT file to translate it elsewhere. If you need clips in another language, plan on doing the translation outside Choppity. ScaleReach transcribes 55 languages, so Choppity covers more. ## Can Choppity publish to TikTok and Instagram? Not directly, by its own account. The [social media scheduler page](https://www.choppity.com/features/social-media-scheduler/) markets posting to YouTube, TikTok, Instagram, Facebook, X and LinkedIn, and a banner across the site announces "1-Click Posting & Scheduling". But the FAQ on that same page answers "Which social media platforms can I publish to?" with: "Choppity currently supports direct publishing to YouTube, with additional platform integrations rolling out progressively." So read the 1, 3 and 6 social accounts on Starter, Creator and Team as limits on how many accounts you can connect, not proof that every network works. If publishing to TikTok or Instagram decides your choice, connect a test account before paying, or use the 14-day refund window. Our scheduler lists TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn and Threads, with X marked coming soon. We compared [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/) in more detail. ## Does Choppity have an API? Yes, from the Creator plan up. The [API page](https://www.choppity.com/api/) describes a REST API at `api2.choppity.com/v1`. You post a public video URL, or get a presigned upload URL for files up to 5 GB, ask it to find clips, trigger renders and receive signed MP4 links. It sends webhooks for events such as `asset.analysis.succeeded` and `project.render.failed`, plus events for scheduled, published and failed social posts. That is a more complete integration story than most clippers offer at $22.40 a month. ScaleReach's equivalent is an [MCP server and API key](/blog/clip-youtube-videos-with-claude-mcp/) aimed at AI assistants. ## What do real users say about Choppity? There is not much public evidence, and it is split. Choppity's [Trustpilot page](https://www.trustpilot.com/review/choppity.com) had 16 reviews when I read it: half were 5 stars and 44% were 1 star, with almost nothing in between. The reviews ran from March 2023 to January 2026. The negative ones describe slow or missing support replies and projects that broke. In its replies, Choppity says support tickets are now handled "typically within a couple of hours". I could not find a G2 listing for Choppity. Sixteen reviews over three years is too few to judge reliability either way. ## What does Choppity do better than ScaleReach? Four things, and they are real: - **Transcript editing.** Cutting a clip by deleting words, and dropping B-roll onto the transcript, is a faster way to tighten a clip than trimming on a timeline. - **Profanity censoring.** One toggle to beep or mute swear words. Useful for brands and for platforms that limit reach on explicit language. - **More languages.** 97 listed against our 55. - **4K exports and a documented REST API.** Paid plans list 1080p and 4K downloads. Our renderer outputs 1080p. Choppity's API has webhooks and is included from Creator. ## Choppity vs ScaleReach: which should you pick? | | Choppity | ScaleReach | |---|---|---| | Cheapest paid plan | $16.80/month yearly ($24 monthly), 3 hours | $10/month annual ($12 monthly), 200 minutes | | Best cost per source minute | $0.075 (Creator, yearly) | $0.031 (Pro, annual) | | Free plan | 1 hour a month, no downloads | 100 free minutes, watermarked, 30 minutes max per upload | | Video input | YouTube link and file upload | YouTube, Twitch and Kick links, plus file upload | | Clip editing | Transcript editor, B-roll, profanity censoring | Clip editor with captions, reframe and split-screen backgrounds | | Languages | 97 | 55, plus Hinglish captions | | Direct publishing | YouTube only today, per its FAQ | TikTok, Instagram, Facebook, YouTube Shorts, LinkedIn, Threads. X coming soon | | Virality score | Not listed | Yes, 0 to 100 | | Highest export | 4K | 1080p | | API | REST API with webhooks, Creator and up | API key and MCP server | Choppity figures from its own pages, ScaleReach figures from our pricing page and product, verified 2026-10-16. Pick Choppity if you edit every clip by hand and want the transcript editor, censoring and language range to save you time, and the per-minute price does not matter much at your volume. Pick ScaleReach if cost per source minute matters, or you want to publish to more than YouTube from the same tool today. For the head-to-head summary, see our [ScaleReach vs Choppity comparison](/alternatives/choppity/). ## FAQ ### Is Choppity free? Yes, Choppity has a free plan with 1 hour of AI video analysis a month, the editor, captions and transcription, and 3-day project storage. Its pricing table lists exports and downloads as not included on Free, so you can preview the clips but need a paid plan to download them. No credit card is required to sign up. ### How much does Choppity cost? Starter is $24 a month, Creator $32 and Team $48 on monthly billing. Billed yearly they are $16.80, $22.40 and $33.60 a month, which the page labels 30% off. Starter includes 3 hours of AI video analysis a month, and Creator and Team include 5 hours, with a slider to buy more. Enterprise is custom. ### Can Choppity post to TikTok? Not directly yet, according to Choppity's own scheduler FAQ. It says Choppity "currently supports direct publishing to YouTube, with additional platform integrations rolling out progressively", even though the same page lists TikTok, Instagram, Facebook, X and LinkedIn. Connect a test account before you pay if TikTok publishing matters to you. ### Does Choppity have a watermark? Choppity's pricing page does not mention a watermark on any plan. The free plan does not include exports or downloads at all, so the question only applies to paid plans, which list 1080p and 4K downloads. I did not export a clip to check, so test one on a paid plan within the 14-day refund window. ### Does Choppity offer refunds? Yes. Choppity's pricing FAQ says you can request a refund within 14 days of a payment by opening a case with support, which it will evaluate. After 14 days it does not refund partial months. Cancelling ends your access at the end of the current billing period, and you keep your clips and exports until then. ### Is Choppity good for podcasts? It is built for them. Choppity markets itself to podcasters, transcribes 97 languages and says it finds 20 to 50+ clips per episode, and its transcript editor suits talk-heavy content. The trade-off is price: at 3 to 5 hours a month, a weekly hour-long show uses most of Starter's allowance. Compare the cost against [whether Opus Clip is worth it for podcasters](/blog/is-opus-clip-worth-it-for-podcasters/) before you commit. ## The bottom line Choppity has one of the stronger editors in the clipping category. Transcript-based cutting, B-roll on the transcript, one-toggle profanity censoring, 97 languages, 4K downloads and a webhook API on the Creator plan are features many competitors do not offer at all. You pay for them. At 3 to 5 hours of analysis a month, every plan costs more per source minute than most of the per-minute clippers we track, and the free plan does not let you download anything. The scheduler is the other open question: Choppity's own FAQ says it publishes directly to YouTube only for now. Use the free hour to judge the clips, connect your social accounts before you pay, and compare against the [alternatives ranked by cost per source minute](/blog/best-opus-clip-alternatives/). If a number here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. Choppity pricing, plan comparison and FAQ read from choppity.com/pricing on 2026-10-16. Features from its home, captions, scheduler and API pages, and languages from its help centre, on the same date. Trustpilot figures read the same day, and no G2 listing was found. ScaleReach figures from our pricing page and product on the same date. This review is sourced, not hands-on. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether Choppity's scheduler FAQ still says YouTube only; which Team plan description is current; the price of a Creator pack on the slider; Trustpilot review count; whether a G2 listing appears. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. Choppity is a competitor and there is no affiliate relationship. Every Choppity fact here comes from pages it controls or public review sites, linked and dated, and I did not run my own videos through it.* --- # 2short.ai Review (2026): Pricing, Free Plan and Limits URL: https://www.scalereach.ai/blog/2short-ai-review Published: 2026-10-15 · Author: Hevin K Tags: 2short.ai, Review, AI Clip Maker, Pricing 2short.ai (people also search for it as 2shorts ai or 2short ai) is an AI tool that turns long YouTube videos into short clips. Its free Starter plan lists 30 minutes of AI video analysis a month, and the paid plans are $9.90 for 5 hours, $19.90 for 15 hours and $49.90 for 50 hours. That works out to about $0.033, $0.022 and $0.017 per minute of source video, which is cheaper than our Starter and Pro plans at the same steps. Disclosure: I run ScaleReach, which publishes this review and competes with 2short.ai. I did not pay for a 2short.ai plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from 2short.ai's own home page (its pricing, features and FAQ sections) and its public G2 page, read on 15 October 2026. Where 2short.ai beats us, I say so. ## The 60-second verdict > **Choose 2short.ai if** your videos live on YouTube, you want a low price per source minute, and a clipper with no scheduler is fine. Pro gives 15 hours a month for $19.90. > > **Look elsewhere if** you need Hindi (it is not among its 26 listed languages), publishing tools, a virality score or split-screen gameplay backgrounds. None of these appears on its pages. > > **Check first:** the page gives the free plan as 30 minutes in one place and 15 in another, prices are monthly only, and the FAQ says it can only process videos with captions. > > **Bottom line:** one of the cheapest ways to turn long YouTube videos into shorts, with fewer features around the clips. Test its free plan on one real video before you pay. ## What is 2short.ai? 2short.ai is a web app at 2short.ai that extracts the best moments from long-form videos and exports them as short clips. Per its [home page](https://2short.ai/), it: - Starts from a pasted YouTube link. Lite and higher plans also import from Google Drive and public URLs, and a banner on the page flags Google Drive import as new. - Works from captions. The FAQ says it can "only process videos with captions" and that YouTube auto-generates them for most videos. It works best on spoken-word content such as podcasts, educational videos, commentary and product reviews. - Keeps the active speaker centered with face tracking. - Adds animated subtitles in one click. - Exports in vertical, square and horizontal aspect ratios at 1080p, and says there are no watermarks. - Includes editing and cropping tools for when automatic tracking is not enough, plus brand presets for logos and overlays. ## How much does 2short.ai cost in 2026? | Plan | Price | AI video analysis per month | Exports | Imports | |---|---|---|---|---| | Starter | Free | 30 minutes | View and export already generated clips | YouTube link, per the FAQ | | Lite | $9.90/month | 5 hours | 60 minutes of fast server-side exports | Google Drive and public URLs | | Pro | $19.90/month | 15 hours | Unlimited fast server-side exports | Google Drive and public URLs | | Premium | $49.90/month | 50 hours | Unlimited fast server-side exports | Google Drive and public URLs, plus priority support and newest beta features | Source: [2short.ai/en/pricing](https://2short.ai/en/pricing/) (verified 2026-10-15). The page says every plan has full access to all features and that plans "mainly vary in AI video analysis hours". Each paid card says "Everything in" the plan below it. Three things to know before you plan around these numbers: - **The free allowance disagrees with itself.** The Starter card says 30 minutes of AI video analysis a month. The banner at the bottom of the same page says the free plan gives 15 minutes. One of them is stale. I could not tell which. - **There is one price per plan.** The page shows each price per month, and I found no yearly option or toggle on it. - **"Hours" is not defined.** I read AI video analysis hours as hours of source video, because that is how other clippers count. 2short.ai does not say so. ### Is 2short.ai free? Yes. The Starter plan is free and lists "full access to all features", 30 minutes of AI video analysis a month, and the ability to view and export clips already generated. It does not list file imports beyond a YouTube link, and it shows no credit card statement either way. Our own free offer is a one-time trial of free minutes rather than a monthly allowance, so for someone who clips one short video a month and wants to pay nothing, 2short.ai's renewing allowance is the better deal if the 30-minute figure is the right one. ## How does 2short.ai compare on cost per source minute? Source minutes are the fairest unit, because every tool here charges by how much video you feed in. Converted at 60 minutes an hour. | Plan | Price per month | Source minutes per month | Cost per source minute | |---|---|---|---| | 2short.ai Lite | $9.90 | 300 | about $0.033 | | 2short.ai Pro | $19.90 | 900 | about $0.022 | | 2short.ai Premium | $49.90 | 3,000 | about $0.017 | | ScaleReach Starter | $10 annual, $12 monthly | 200 | about $0.05 annual, $0.06 monthly | | ScaleReach Pro | $12.50 annual, $18 monthly | 400 | about $0.031 annual, $0.045 monthly | | ScaleReach Agency | $49 annual, $99 monthly | 5,000 | about $0.010 annual, $0.020 monthly | 2short.ai rows from [2short.ai/en/pricing](https://2short.ai/en/pricing/); ScaleReach rows from our [pricing page](/pricing/), both verified 2026-10-15. For a wider table, see our [cost per source minute comparison of Opus Clip alternatives](/blog/best-opus-clip-alternatives/). 2short.ai is cheaper per source minute than ScaleReach at the Starter and Pro steps. Our Agency plan on annual billing is cheaper than Premium. On monthly billing it is slightly dearer. ## How good is 2short.ai's clip selection? I have not measured this, so here is what the vendor claims and what its users report. - **Selection.** It reads the video's captions to find engaging spoken moments and cuts them out. That is the same approach most tools in this category take, and it explains why the FAQ stresses spoken words. - **Framing.** Face tracking keeps the speaker centered. Editing and cropping tools are there for the cases where it does not. - **User reports.** G2 reviewers praise speed and ease, and say it removes the need for a separate editor. Their complaints repeat: the AI sometimes misses the context of a video and returns weak shorts that need manual editing, one finds the automatic editing cumbersome, with shaky transitions between clips and picks that are not always the most engaging, and one says you cannot generate unlimited shorts on any plan because every plan is capped in hours. ## Which languages does 2short.ai support? The FAQ lists 26: Bulgarian, Czech, Danish, Dutch, English, French, Finnish, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Spanish, Swedish, Turkish and Ukrainian. It says it is working to expand the list. Hindi, Arabic and Chinese are not on it. ScaleReach transcribes 55 languages, including Hindi, and converts Hindi clips to Roman-letter [Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/). If your audience is outside that 26, check this first. ## What does 2short.ai not list? None of the following appears in 2short.ai's pricing, features or FAQ sections: a scheduler or direct publishing to social platforms, a virality score, split-screen gameplay backgrounds, dubbing or translation, or an API or MCP server. Absence from a page is not proof a feature does not exist, so ask support if one matters. But if you want to clip and post from one tool, the page does not promise that. ## What do real users say about 2short.ai? There is little public feedback, so be careful with any rating. | Source | Rating | Sample | |---|---|---| | G2 | 4.5 out of 5 | 5 reviews, 4 marked as incentivized, newest 23 September 2025, oldest 24 January 2024 | | Trustpilot | No page found | The review page for 2short.ai returned a not-found error | Sources: [G2](https://www.g2.com/products/2short-ai/reviews), read 2026-10-15, and Trustpilot, checked the same day. Five reviews are too few to read as a score. ## 2short.ai vs ScaleReach: which should you pick? | | 2short.ai | ScaleReach | |---|---|---| | Cheapest paid plan | $9.90/month, 5 hours | $10/month annual ($12 monthly), 200 minutes | | Free option | Starter, 30 minutes a month (15 in one place) | One-time free trial minutes, watermarked | | Video input | YouTube link, plus Google Drive and public URLs from Lite | YouTube, Twitch and Kick links, plus file upload | | Languages | 26 listed, no Hindi | 55, plus Hinglish captions | | Scheduling | None listed | YouTube Shorts, Instagram, Facebook, LinkedIn and Threads. TikTok is paused in the app and X is coming soon | | Virality score | Not listed | Yes, 0 to 100 | | Split-screen gameplay | Not listed | Yes, on Starter and up | | Highest export | 1080p | 1080p on paid plans | | Public reviews | 5 on G2 | Few | ScaleReach figures from our [pricing page](/pricing/) and product, verified 2026-10-15. 2short.ai figures from its home page. Pick 2short.ai if price per source minute and a YouTube-first workflow decide it. Pick ScaleReach if you need to publish from the same tool, work in languages 2short.ai does not list, want a virality score to sort clips or want gameplay split-screen shorts. For a wider field, see our [ranking of the best AI video clipping tools](/blog/best-ai-video-clipping-tools/). ## FAQ ### Is 2short.ai free? Yes. The free Starter plan lists 30 minutes of AI video analysis a month with full access to all features, and you can view and export clips already generated. The banner at the bottom of 2short.ai's page says 15 minutes instead, so one figure is out of date. Paid plans start at $9.90 a month. ### How much does 2short.ai cost? Lite is $9.90 a month for 5 hours of AI video analysis, Pro is $19.90 for 15 hours and Premium is $49.90 for 50 hours. Prices are listed per month, and I found no yearly option. That is about $0.033, $0.022 and $0.017 per source minute, assuming an hour of analysis is an hour of source video. ### Does 2short.ai work with videos that are not on YouTube? Partly. The FAQ describes pasting a YouTube link and says it can only process videos with captions. The pricing cards list video imports from Google Drive and public URLs from Lite up. The free plan lists no import beyond YouTube. The page does not say how it handles a file that has no captions. ### Does 2short.ai add a watermark? I found no watermark mentioned on any plan. The features section says "goodbye to watermarks" and describes unlimited 1080p exports, and the Starter card says you can view and export generated clips. It does not state the free plan's export terms separately, so test one export before you rely on it. ### Which languages does 2short.ai support? Twenty-six, listed in its FAQ: Bulgarian, Czech, Danish, Dutch, English, French, Finnish, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Spanish, Swedish, Turkish and Ukrainian. Hindi, Arabic and Chinese are not among them. ### Is 2short.ai legit? I did not audit it. It has a G2 page with 5 reviews, 4 of them marked incentivized and the newest from September 2025, and I found no Trustpilot page. A thin public history is a reason to try the free plan before you pay, and to read its privacy policy before you upload sensitive footage. I did not read it for this review. ## The bottom line On price, 2short.ai is hard to argue with: $19.90 for 15 hours is cheaper per source minute than our Pro plan, and its Lite plan undercuts our Starter. It covers the core clipping job, with face tracking, animated subtitles, three aspect ratios and 1080p exports. The unknowns are the ones a pricing page cannot answer: whether the free plan is 30 minutes or 15, how it handles videos without captions, how clip quality holds up on your footage, and whether it will ever publish for you. Test one video on the free plan, then compare against the [alternatives ranked by cost per source minute](/blog/best-opus-clip-alternatives/). If a number here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. 2short.ai pricing, features, languages and FAQ read from 2short.ai on 2026-10-15. G2 rating and review dates read on the same date, and a Trustpilot page for 2short.ai was not found. ScaleReach figures from our pricing page and product on the same date. This review is sourced, not hands-on. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether 2short.ai reconciles its 30-minute and 15-minute free allowances; whether it adds a yearly price, a scheduler or Hindi; how it handles videos without captions; G2 review count and Trustpilot presence. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. 2short.ai is a competitor and there is no affiliate relationship. Every 2short.ai fact here comes from pages it controls or public review sites, linked and dated, and I did not run my own videos through it.* --- # TikTok Clip Maker: How to Turn a Long Video Into TikToks URL: https://www.scalereach.ai/blog/how-to-make-tiktok-clips-from-long-videos Published: 2026-10-15 · Author: Hevin K Tags: TikTok, AI Clip Maker, Workflow, Short-Form Video A TikTok clip maker cuts a long video into vertical clips you can post on TikTok: it finds the moments, reframes to 9:16, adds captions and exports the files. The decision that matters most is clip length. Of the 3,083 ScaleReach clips our AI tagged as TikTok-fit, 52% run 30 to 60 seconds. That is at or under the one-minute line that TikTok's Creator Rewards Program sets, so the most common length is the wrong one if rewards are your goal. This guide covers the workflow, the limits TikTok publishes and what to check in any tool. Disclosure: I run ScaleReach, an AI-powered clip maker, so I have an interest in this topic. The ScaleReach numbers come from our production database, queried on 15 October 2026. The TikTok rules come from TikTok's own support pages, read the same day, and linked below. ## The 60-second verdict > **Use a clip maker if** you have long spoken-word videos (podcasts, interviews, webinars, streams) and want a pile of candidate clips in minutes instead of scrubbing a timeline in video editors. > > **Skip it if** your source is already short or mostly music, because clip makers pick moments from the transcript. > > **Decide first:** clip length. Most AI-cut clips run 30 to 60 seconds, and our podcast clip length guide recommends 15 to 45 seconds for completion. Go past 60 seconds only if you are chasing Creator Rewards. > > **Bottom line:** the tool matters less than three choices: the source video, the clip length and the first three seconds. ## What is a TikTok clip maker? A TikTok clip maker is software that turns a long-form video into short-form videos sized for TikTok. Most AI versions work in the same order: - Transcribe the video and pick moments that hold a complete thought, a strong hook or a payoff. - Reframe the 16:9 source to 9:16 and keep the speaker in frame. - Burn in captions. - Export ready-to-post clips. Some tools also schedule them. It sits between your long video and your posting routine. It is not a full video editor, so expect to trim or reword the odd clip by hand. ## How do you turn a long video into TikTok clips? Here is the workflow, using ScaleReach for the specifics. The steps are the same in most tools. 1. **Pick a source with speech and structure.** Podcasts, interviews, webinars, tutorials and streams work because the AI chooses moments from the transcript. A one-hour episode usually returns 8 to 20 clips, per [our data on how many clips a one-hour podcast makes](/blog/how-many-clips-from-a-one-hour-podcast/). 2. **Upload your video or paste a link.** ScaleReach takes a YouTube, Twitch or Kick link, or a file. The AI scores each clip from 0 to 100 and drops anything under 70. 3. **Set a clip length range.** The configure page offers Auto, 0 to 1 minute, 0 to 90 seconds, 0 to 2 minutes, 30 to 90 seconds and 1 to 2 minutes. Pick by goal; the next section has the numbers. 4. **Check the first three seconds and the captions.** The opening line decides whether anyone stays. Our guides on [writing a hook](/blog/how-to-write-a-hook-for-short-videos/) and on [captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/) cover both. 5. **Export at 9:16.** Paid ScaleReach plans render 1080 by 1920 and the Free plan renders 720 by 1280. 6. **Post natively.** TikTok accepts uploads of up to 60 minutes, per its [support page](https://support.tiktok.com/en/using-tiktok/creating-videos/camera-tools), so length is a choice rather than a limit. Videos you record inside TikTok are capped at 10 minutes. If your source is a podcast or a stream, the dedicated pages for [podcast to TikTok](/tools/podcast-to-tiktok-generator/) and [Twitch to TikTok](/tools/twitch-to-tiktok-generator/) show the same flow for those formats. ## How long should a TikTok clip be? Here is what the AI produces when it tags a clip as a fit for TikTok: | Clip length | Clips | Share of TikTok-fit clips | |---|---|---| | Under 30 seconds | 640 | 21% | | 30 to 60 seconds | 1,600 | 52% | | 61 to 90 seconds | 597 | 19% | | Over 90 seconds | 246 | 8% | Source: ScaleReach production database, queried 2026-10-15. It covers the 3,083 live clips tagged TikTok-fit, out of 3,897 live clips with a platform recommendation from 142 workspaces, created 4 February to 15 October 2026. The median clip is 46 seconds overall and 45 seconds for TikTok-fit clips. Clips on expired videos are deleted, so they are not counted. Two cautions on reading this: - **The tag is generous.** 79% of clips (3,083 of 3,897) list TikTok among their recommended platforms, so it will not choose for you. Treat it as a hint. - **It is output, not performance.** We have no view counts for these clips. The table shows what the AI cuts, not what performs. Our post on [podcast clip length across TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) goes deeper on the length question. ### What length do you need for TikTok Creator Rewards? At least one minute. TikTok's [Creator Rewards Program page](https://support.tiktok.com/en/business-and-creator/creator-rewards-program) lists these requirements, among others: - At least 10,000 followers. - At least 100,000 video views in the last 30 days. - Videos at least one minute long. - Original, high-quality content that is "filmed, designed, and produced entirely by yourself". That page says "at least one minute long". One [TikTok explainer page](https://www.tiktok.com/discover/are-60-second-videos-eligible-for-creator-rewards) says a video must be longer than one minute, meaning at least 1 minute and 1 second. If you are going for rewards, aim for 61 seconds or more. In our data that is 843 clips, or 27% of the TikTok-fit ones, and in ScaleReach the 1 to 2 minute range is the setting to choose. Clips cut from your own long video are your own content. Clips of other people's videos are not original, whatever tool cuts them. If you also repost across platforms, we explain the mechanics in [how to repost videos on TikTok without getting flagged](/blog/repost-youtube-video-tiktok-without-getting-flagged/). ## Which TikTok clip maker should you use? Check these six things before you pay for any tool: 1. **Does it pick moments from a transcript in your language?** Some tools list only a few dozen languages, so check yours. 2. **Can you set the clip length range?** You need that to hit the one-minute line. 3. **Can you edit captions and crop a clip?** Automatic framing misses sometimes. 4. **What does the free plan export?** Resolution, watermark and how many minutes you get. 5. **Does it post to TikTok, and does that connection work today?** More on this below. 6. **What does a source minute cost?** Tools charge in different units, so convert to cost per source minute before comparing. We rank nine tools by job in [the best AI video clipping tools](/blog/best-ai-video-clipping-tools/), compare prices per source minute in [the best Opus Clip alternatives](/blog/best-opus-clip-alternatives/), and list what each free plan includes in [the best free AI clip generator](/blog/best-free-ai-clip-generator-2026/). ScaleReach is one option, and you should weigh the bias. Paid plans start at $10 a month on annual billing ($12 monthly) for 200 source minutes, exports are 1080p, and the Free plan is a one-time trial of free minutes with a watermark. See the [pricing page](/pricing/) for current figures. ## Can a clip maker post to TikTok for you? Sometimes. Apps that post through TikTok's API have to pass an audit, and TikTok limits posts from apps that have not passed it to private viewing. We explain the rule and its source in [which AI clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). ScaleReach's TikTok connection is paused in the app today, so you download the MP4 and upload it in TikTok yourself. Scheduling to YouTube Shorts, Instagram, Facebook, LinkedIn and Threads is available from the same dashboard. The same clip also suits YouTube Shorts, and our comparison of [TikTok, Shorts and Reels](/blog/tiktok-vs-youtube-shorts-vs-instagram-reels/) shows where each platform fits. ## FAQ ### What is the best TikTok clip maker? It depends on your source video, language and budget, so judge tools on six points: transcript-based moment selection in your language, adjustable clip length, editable captions, a usable free plan, a working TikTok posting path and price per source minute. We rank clip tools by job and by cost in our roundups, and ScaleReach is one of them, so weigh the bias. ### How long should a TikTok clip be? For completion rate, our podcast clip length guide recommends 15 to 45 seconds. The AI's own cuts run longer: 52% of TikTok-fit clips are 30 to 60 seconds, 21% are shorter and 27% are longer than 60 seconds. Go past 60 seconds if you want to qualify for TikTok's Creator Rewards Program, which asks for videos at least one minute long. We have no performance data, so choose by the moment, not the number. ### Can I turn a YouTube video into TikToks for free? Yes, within limits. Most clip makers have a free plan with a cap on minutes, and many add a watermark. ScaleReach's Free plan is a one-time trial of free minutes with a watermark and a 30-minute limit per upload. Compare free plans in our [free clip generator roundup](/blog/best-free-ai-clip-generator-2026/). Cutting the video yourself in a video editor also costs nothing but time. ### How long can a TikTok upload be? Videos you upload to TikTok can be up to 60 minutes long, and videos you record inside TikTok can be up to 10 minutes, according to TikTok's support page, read 2026-10-15. A long upload is not the same as a good one. Clip makers exist because the moment that works is usually well under three minutes. ### How many TikTok clips can I get from one video? A one-hour podcast episode usually returns 8 to 20 clips, according to our data on 7,101 generated clips. Fast, topic-dense interviews sit at the high end, and slow lectures at the low end. Source length and speech density matter more than the tool. See [how many clips you get from a one-hour podcast](/blog/how-many-clips-from-a-one-hour-podcast/) for the full breakdown. ### Can ScaleReach post directly to TikTok? Not today. The TikTok connection is paused in the app, so you download each clip and upload it in the TikTok app. The same dashboard schedules posts to YouTube Shorts, Instagram, Facebook, LinkedIn and Threads. We explain TikTok's audit rule and where our own app stands in [our post on auto-posting clips](/blog/auto-post-clips-to-tiktok-instagram-youtube/). ## The bottom line A TikTok clip maker saves you the scrubbing: it finds the moments, reframes them to 9:16, captions them and hands you clips to review. What it cannot do is decide your length, your hook or your angle. Choose the length by goal. Most of the clips an AI cuts for TikTok sit between 30 and 60 seconds, and Creator Rewards needs at least a minute. Check the first three seconds and the captions on every clip, and download the file for TikTok if your tool's posting connection is not live. If a number here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. Clip counts and lengths queried from ScaleReach's production database on 2026-10-15. TikTok's upload limits and Creator Rewards requirements read from support.tiktok.com on the same date. ScaleReach plan details from our pricing page and product on the same date. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether TikTok changes the Creator Rewards length rule or its upload limit; whether ScaleReach's TikTok connection resumes; ScaleReach clip length mix after the more-clips prompt change of 13 October; plan prices. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips. Clip figures here come from ScaleReach's own production database, and TikTok's rules from TikTok's own pages, each dated where cited.* --- # Opus Clip Privacy: Does It Train on Your Videos? URL: https://www.scalereach.ai/blog/opus-clip-privacy-and-data-retention Published: 2026-10-15 · Author: Hevin K Tags: Opus Clip, Review, Privacy, AI Clip Maker Opus Clip's documents do not say whether it trains AI models on your videos, and they do not say it doesn't. What they do say: videos, images and transcripts are processed to "improve product and services", EU and EEA residents can opt out of "AI research and model-development activities", free-plan projects expire after 3 days and Starter and Pro projects after 30, and the servers run on Google Cloud in the United States. I read Opus Clip's privacy policy, terms of service, Trust Center and help center on 15 October 2026. This post lays out what each one commits to and what it leaves open. Disclosure: I run ScaleReach, which publishes this post and competes with Opus Clip. There is no affiliate relationship. I did not audit Opus Clip's systems, see its SOC 2 report or contact the company. Every Opus Clip fact below comes from a page it controls, linked and dated. The last section checks ScaleReach the same way, because a privacy check that only inspects a competitor is not fair. ## The 60-second verdict > **Fine for** your own public content on a paid plan. Opus Clip publishes a Trust Center that lists SOC 2 Type 2, SOC 3 and GDPR, says data is encrypted in transit and at rest, and names its subprocessors. > > **Check first** if you upload client, unreleased or NDA footage. Your videos can be used to "improve product and services", OpenAI and Google are listed subprocessors, and only EU and EEA residents are offered an AI opt-out. > > **Plan around** short retention. Free projects expire after 3 days, Starter and Pro after 30. Only Pro can keep projects in cloud storage. > > **Bottom line:** a documented company with documented controls. The gap is clarity about AI training, not an obvious security failure. ## What does Opus Clip's privacy policy say about your videos? | Question | What Opus Clip publishes | Source | |---|---|---| | Is your content used to train AI? | Not stated either way. "Videos, images, transcripts" are listed with the purpose "Provide editing & sharing features, improve product and services". | [Privacy policy](https://www.opus.pro/privacy-policy), section 3 | | Can you opt out of AI use? | Only in the EU or EEA: email contact@opus.pro with the subject line "AI R&D" and "Opt-Out". | Privacy policy, section 12 | | Who owns your content? | You do. Opus Clip gets a license to use it "to enable us to operate the Services". | [Terms of service](https://www.opus.pro/terms-of-service) | | Where is data stored? | Opus Clip "runs on secure Google Cloud servers located in the United States". | Privacy policy, section 11 | | Is your data sold? | It says it does not currently sell personal data as Nevada law defines a sale. Third-party ad and analytics cookies can still count as a "sale" or "share" under some US state laws, and the policy offers an opt-out. | Privacy policy, sections 5 and 10 | Sources read 2026-10-15. ## Does Opus Clip train AI on your videos? Its documents do not say. Three things are on the record: 1. **Purpose.** The privacy policy lists videos, images and transcripts as user-generated content processed to "improve product and services". 2. **Opt-out.** It offers EU and EEA residents an opt-out from "any use of your personal data for our AI research and model-development activities". An opt-out implies the activity exists. The policy describes no equivalent for anyone else. 3. **License.** The terms give Opus Clip a perpetual, irrevocable license to your submissions "to enable us to operate the Services". They also say it may use automated systems to analyze submissions "to help detect infringement and abuse". Neither sentence mentions training. Together that is not a promise to train and not a promise not to. If the answer matters for your work, ask in writing and keep the reply. The terms list legalnotices@opus.pro and the privacy policy lists contact@opus.pro. The Trust Center also lists OpenAI and Google among Opus Clip's subprocessors. It does not say what either one receives. ## How long does Opus Clip keep your videos? | Plan | Project expiry | |---|---| | Trial | 7 days after creation | | Free | 3 days after creation | | Starter | 30 days after creation | | Pro | 30 days, or kept in cloud storage (100 GB per user) if you save them | Source: [Saving Your Projects](https://help.opus.pro/docs/article/saving-your-projects) in Opus Clip's help center (read 2026-10-15). Once a project expires it is removed from the My projects page and "can no longer be recovered", per the help article. The article does not say when the underlying files are erased from storage. The privacy policy gives retention rules for profile, payment and device data but none for videos. It says only that personal data is kept "for as long as necessary to provide you with our Services". This is also why cancelling matters. We cover the 3-day access rule in [how to cancel Opus Clip](/blog/how-to-cancel-opus-clip/). ## Can you delete your data from Opus Clip? - **One project.** Open My projects, use the three-dot menu and choose delete ([help article](https://help.opus.pro/docs/article/deleting-a-project)). - **Social connections.** Remove a connected account from the Social accounts menu. Future scheduled posts for it are canceled, and the FAQ says Opus Clip will "delete all your account information from our systems" when you remove your account ([social account FAQ](https://help.opus.pro/docs/article/9432410-social-account-faq)). The FAQ sits under social connections, so check exactly what that covers. - **Your account.** The terms say you can remove your content at any time and download a copy of your data first. They also say that after you delete your account Opus Clip stops showing your submissions to other users, but that it may not be possible to remove them completely from its records, and copies saved by other users may remain. - **A formal request.** The privacy policy describes a process for US state-law access and deletion requests and lists account.deletion@opus.pro for other jurisdictions. The Trust Center says that on customer request, data no longer needed is removed "in accordance with agreed-upon customer requirements". ## Who else sees your videos? Opus Clip's subprocessors The [Trust Center](https://trust.opus.pro/) front page lists nine: Google, OpenAI, Stripe, GitHub, Intercom, MongoDB, Redis, WorkOS and Cloudflare. It links to a separate subprocessors page that did not load for my scraper, so I can't say whether the full list is longer. The privacy policy says Opus Clip signs data protection agreements with all of its subprocessors and uses standard contractual clauses for transfers out of the EU, UK and Switzerland. Stripe handles card details. Nothing I read says which subprocessors see video content. ## Is Opus Clip SOC 2 and GDPR compliant? Its Trust Center lists SOC 2 Type 2 (the report is available through a Request button), SOC 3 and GDPR, and says its controls are monitored continuously through Secureframe. It also lists encryption in transit and at rest, a third-party penetration test at least once a year, an incident response plan, background checks and a data retention and disposal policy. One line deserves a close read: "Production data is not used in the development and testing environments, unless required for debugging customer issues." So real customer data can appear in debugging work. A listing is not an audit result. I have not seen the SOC 2 report. If compliance decides your purchase, request it. ## Is it safe to connect YouTube, TikTok and Instagram to Opus Clip? Opus Clip posts through the platforms' APIs, and its help center says those platforms periodically require you to reconnect. For YouTube it needs the Google account that owns the channel, and it cannot connect if you are only a brand-account manager. To stop using it, remove the connection in Opus Clip, then revoke access in your Google account at myaccount.google.com/connections, the page Opus Clip's own Google Drive article points to. I did not check the equivalent screens for TikTok or Instagram. The more concrete risk is impersonation. In January 2026 Opus Clip [warned about phishing](https://www.opus.pro/blog/beware-of-scams-impersonating-opusclip): emails offering fake partnerships or free "Pro Access" that send people to fake sites with a fake "Sign in with Google" button, naming adsopus.com and creator.opusflow.org. It lists its real sites as opus.pro, www.opus.pro, clip.opus.pro, beta-agent.opus.pro and agent.opus.pro, says official email comes from @opus.pro, and says it will never ask you to sign in to another website with a Google account. If a message offers free Pro access, check the domain before you click. ## Is Opus Clip safe for client or unreleased footage? It can be, if you settle five things first. This is a checklist, not legal advice. 1. Ask in writing whether your content is used for AI training or to "improve product and services", and keep the answer. 2. If you are in the EU or EEA, send the AI opt-out email. 3. Request the SOC 2 Type 2 report from the Trust Center, and ask whether a data processing agreement is available. 4. Check your client contract against the subprocessor list, especially if it restricts third-party AI providers. 5. Download your clips and delete the project when you finish. On Free the project expires after 3 days anyway. For agencies handling several clients, the same questions apply per client. Our guide to [AI clipping for agencies](/blog/ai-clipping-for-agencies-multiple-clients/) covers how workspaces separate client work. ## How does ScaleReach handle the same things? I run the other side of this comparison, so here are our answers, checked against our [privacy policy](/privacy/) (last updated 2 February 2026) and our code on 15 October 2026. | | Opus Clip | ScaleReach | |---|---|---| | Published certifications | SOC 2 Type 2, SOC 3 and GDPR listed on its Trust Center | None published. The privacy policy says data is encrypted in transit and at rest | | Public trust center and subprocessor list | Yes | No | | Policy says whether content trains models | No | No | | AI opt-out | EU and EEA residents, by email | None described | | Project retention | Free 3 days, Starter and Pro 30 days, Pro cloud storage | Free 15 days, paid plans 180 days | | Deleting a video | Delete from My projects | Deletes the clips, exports, dubbing audio, source file, audio track and thumbnail from storage, then the database rows | | AI providers | OpenAI and Google among subprocessors | The policy says "third-party AI and video processing services". In the code: Deepgram for speech-to-text and Google's Gemini models on Vertex AI for clip selection, with Cloudflare Workers AI as a last-resort fallback | Where Opus Clip does more: it publishes a Trust Center, certifications, a subprocessor list and an EU opt-out. Where we differ: paid-plan projects stay for 180 days, against 30 on Opus Clip's Starter and Pro. That is convenient and also means we hold your files longer. Our policy is shorter than Opus Clip's and has the same gap on training. If you need either company's answer on record, ask both in writing. ## FAQ ### Does Opus Clip train AI on my videos? Its documents do not say either way. The privacy policy lists videos, images and transcripts as processed to "improve product and services", and it offers EU and EEA residents an opt-out from "AI research and model-development activities". The terms license your content to Opus Clip "to enable us to operate the Services" and do not mention training. If it matters for your work, email contact@opus.pro and keep the reply. ### How long does Opus Clip keep my videos? It depends on the plan. According to its help center, projects expire 3 days after creation on Free, 30 days on Starter and Pro, and 7 days on the trial. Pro users can save projects to cloud storage, 100 GB per user, so they do not expire. An expired project cannot be recovered. The help article does not say when the files are erased from storage. ### How do I delete my data from Opus Clip? Delete a project from the My projects page, remove social connections from the Social accounts menu, and email account.deletion@opus.pro for a deletion request in other jurisdictions. The terms say you can download your data first. They also say that after you delete your account it may not be possible to remove your content completely from Opus Clip's records. ### Is Opus Clip SOC 2 compliant? Its Trust Center lists SOC 2 Type 2, SOC 3 and GDPR, with the SOC 2 report available on request. It also lists encryption in transit and at rest and a third-party penetration test at least once a year. I have not seen the report, so I cannot confirm its scope or findings. If compliance decides your purchase, request the report through the Trust Center. ### Where does Opus Clip store my data? Its privacy policy says Opus Clip runs on Google Cloud servers in the United States. The Trust Center also lists Cloudflare, MongoDB and Redis among its subprocessors, plus OpenAI, Google, Stripe, GitHub, Intercom and WorkOS. Transfers from the EU, UK and Switzerland rely on standard contractual clauses, according to the policy. ### Is Opus Clip a scam or safe to use? It is a real company with published security documentation, but scammers do impersonate it. In January 2026 Opus Clip warned about phishing emails and fake sites such as adsopus.com that harvest Google logins. Stick to the official sites it lists, such as opus.pro and clip.opus.pro, and check the sender domain. For billing and cancellation risks, read our [full Opus Clip review](/blog/opus-clip-review/). ## The bottom line Opus Clip is more transparent about security than most tools in this category. It has a Trust Center, SOC 2 and GDPR listings, a named subprocessor list and a stated retention period per plan. What it leaves open is the question people ask most: whether your videos train AI models. The policy sets "improve product and services" as a purpose, offers an AI opt-out to the EU and EEA only, and never says no. For public content on a paid plan, those answers are probably enough. For client, unreleased or NDA footage, get the training answer in writing, request the SOC 2 report and delete projects when you are done. If those answers are not enough and you are looking elsewhere, check the privacy terms of any tool on our [list of Opus Clip alternatives](/blog/best-opus-clip-alternatives/) the same way. If a number or quote here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. Privacy policy, terms of service, Trust Center and help center pages read from opus.pro, trust.opus.pro and help.opus.pro on 2026-10-15. ScaleReach facts come from our privacy policy and code on the same date. This post is sourced, not an audit. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether Opus Clip states its AI-training position or extends the AI opt-out beyond the EU and EEA; project expiry periods; the Trust Center subprocessor list; whether ScaleReach's policy adds a training statement. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. Opus Clip is a competitor and there is no affiliate relationship. Every Opus Clip fact here comes from pages it controls, linked and dated, and I did not audit its systems.* --- # quso.ai Review (2026): Pricing, Credits, and Free Plan URL: https://www.scalereach.ai/blog/quso-ai-review Published: 2026-10-13 · Author: Hevin K Tags: quso.ai, Review, AI Clip Maker, Pricing quso.ai is the current name for vidyo.ai, one of the earliest AI clip tools, now rebuilt into a broader social-media suite. It clips long videos into short ones, captions and reframes them, then schedules the results to as many as seven platforms. The free plan gives you 75 credits a month, which is roughly 75 minutes of source video, and paid plans start at $29 a month, or $19 a month on annual billing. This review covers how the credits work, what the free plan actually includes, and the real cost per source minute, all read off quso.ai's own pages. Disclosure: I run ScaleReach, which publishes this review and competes with quso.ai. I did not pay for a quso.ai plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Every price and limit below comes from quso.ai's own pricing and help pages, read on 13 October 2026, plus its public Product Hunt page. Where quso.ai does something better than we do, I say so. ## The 60-second verdict > **Use quso.ai if** you want one tool for the whole workflow, not just clipping: it also schedules to seven platforms, plans a calendar, writes captions and posts, and reports analytics. > > **Try the free plan if** you want to test AI clipping for nothing. 75 credits a month is about 75 minutes of source video, more than Opus Clip's 60, with no credit card. > > **Watch the credit math.** One credit is one source minute. Lite's 100 credits is only about 100 minutes of video a month, and the headline $19 is the annual rate. Month to month, Lite is $29. > > **Skip it if** you mainly want the most clipping minutes per dollar. A focused clipper gives more source minutes at the entry tier, and you will not pay for the scheduler and planner you are not using. > > **Bottom line:** quso.ai is a social-media suite that happens to clip, priced by credits. Fair value if you use the whole suite, credit-starved on Lite if you only need clips. ## What is quso.ai? quso.ai is a web app that turns long videos, podcasts and streams into short, captioned, vertical clips, then publishes them. It is the rebrand of vidyo.ai: the company kept the same login, plans and clip engine and changed the name in 2024. Its own pricing page still carries a "Coming from Vidyo.ai? Your plan and pricing are unchanged" banner, and its site markup lists `Vidyo.ai` as an alternate name. What it does, per its [pricing](https://quso.ai/pricing) and product pages: - Finds clip-worthy moments in a long video and scores each one by predicted virality. - Captions and reframes clips to 16:9, 9:16 and 1:1. - Imports from YouTube, Vimeo, X, Facebook, Twitch, Rumble, Loom, LinkedIn and Zoom, plus Google Drive, Dropbox and local upload. Every source works on the free plan. - Schedules to TikTok, Instagram, YouTube, LinkedIn, Facebook, Pinterest and X on the plans that include scheduling. - Bundles a content planner, social analytics, an AI writer, an AI video generator and AI avatars around the clipper. That last point is the thing to understand before comparing prices. quso.ai is not a pure clipper. It markets itself as a replacement for "~$300+/mo across 6 tools", so clipping is one feature among many, and you pay for the suite. ## How much does quso.ai cost in 2026? | Plan | Monthly | Annual (per month) | Credits/month (monthly → annual) | Storage | |---|---|---|---|---| | Free | $0 | $0 | 75 | n/a | | Lite | $29 | $19 | 100 → 200 | 10 GB | | Essential | $39 | $26 | 300 → 600 | 25 GB | | Growth | $49 | $33 | 600 → 1,200 | 75 GB | Source: [quso.ai/pricing](https://quso.ai/pricing) (verified 2026-10-13). The big number on each card is the month-to-month price; the lower figure is the effective monthly rate when you pay for a year up front. Two features of this pricing matter more than the headline numbers: - **Annual billing is a large discount and doubles your credits.** quso.ai's own page says annual plans are "~33% cheaper per month" and "include 2x the monthly credits". So Lite is $29 a month for 100 credits month to month, but $19 a month for 200 credits on a year. That is a bigger annual swing than most tools in this category, and it is the single biggest lever on quso.ai's value. - **The plans ladder up by feature, not just volume.** Lite publishes to TikTok only. Scheduling to all seven platforms, AI filler-and-silence removal and the content planner start on Essential. The custom brand kit, the Viddy AI assistant and social analytics start on Growth. One number does not agree with itself on quso.ai's own site. The pricing page lists Growth at "600 → 1,200" credits, while its [subscription-plans help article](https://quso.ai/help/subscription-plans) says Growth includes "600-1800 monthly credits". I am recording the discrepancy rather than guessing which is right. Confirm your plan's credit count in-app before you buy a year of Growth. There is also a **Plus plan that only appears in the help centre**, not on the pricing page. It is mobile-web only, costs the same credit allowance as Free (75 a month, or 900 on a year), but removes the watermark, exports 1080p and adds 10 GB of storage, with no social-account connections. If you clip from a phone browser, it is worth knowing it exists. ## How do quso.ai credits work? One credit is one minute of imported video, rounded up to the next whole minute. A 40-second clip costs 1 credit; a 25-minute-40-second video costs 26. That rule is on quso.ai's [how-credits-work page](https://quso.ai/help/how-credits-work), and it is the same unit ScaleReach uses, so the two are directly comparable. The rules worth knowing before you plan a month around them: - **Credits are charged at import, once.** After a video is uploaded, editing it, publishing it and downloading the clips cost nothing extra. You are billed for source length, not for how many clips come out. - **Monthly credits do not roll over.** On a monthly plan, unused credits expire at the end of the period. On an annual plan you get all 12 months of credits up front, and they reset at the end of the year. - **Add-on credits are different.** You can buy extra credits at $0.15 each, the price varying by region, and those do not expire. - **Failed videos are refunded automatically**, and quso.ai says it will reimburse credits by hand if you are unhappy with an output. - **Team workspaces share one pool.** Only the owner buys the plan, and every member draws from the same credits. The practical catch is that generative features bill differently. For AI clips, captions and the AI writer, credits are counted by the length of the video you import. For the AI video generator and AI avatars, they are counted by the length of the video that comes out. So a text-to-video run has no "source" and still spends credits. ## Is quso.ai free? Yes, and the free plan renews every month. You get 75 credits a month, which is about 75 minutes of source video, AI clips and captions, and direct publishing to TikTok. Uploads are capped at 720p and 5 GB, exports carry a quso.ai watermark, and your uploads are kept for 7 days. That 75-minute monthly allowance is genuinely useful for testing, and it is larger than Opus Clip's 60 free minutes. This is one place quso.ai beats us for a creator who wants to pay nothing. ScaleReach's free tier is a one-time allowance of 100 minutes rather than a monthly one, so once you have used it, you have used it. If you clip one or two short videos a month and never want to pay, quso.ai's renewing free plan is the better deal. See our [free-tier comparison across tools](/blog/best-free-ai-clip-generator-2026/) for how both sit against the rest of the category. ## How does quso.ai compare on cost per source minute? Source minutes are the fairest unit here, because both tools charge by how much video you feed in, not by how many clips you get out. The table below is annual billing, which is the rate quso.ai wants you to compare on. | Plan | Annual price / month | Source minutes / month | Cost per source minute | |---|---|---|---| | quso.ai Lite | $19 | 200 | about $0.095 | | quso.ai Essential | $26 | 600 | about $0.043 | | quso.ai Growth | $33 | 1,200 | about $0.028 | | ScaleReach Starter | $10 | 200 | about $0.05 | | ScaleReach Pro | $12.50 | 400 | about $0.031 | | ScaleReach Agency | $49 | 5,000 | about $0.010 | quso.ai rows from [quso.ai/pricing](https://quso.ai/pricing); ScaleReach rows from our [pricing page](/pricing/), both verified 2026-10-13. On annual billing, ScaleReach is cheaper per source minute at the tiers most creators actually buy. Starter gives the same 200 minutes as quso.ai Lite for about half the per-minute cost, and Pro undercuts Essential while still including scheduling. quso.ai only pulls level on price at Growth, which is $33 a month and aimed at teams. Month to month, the gap is wider, because quso.ai's monthly credits are the same count for a higher price. Lite month to month is $29 for 100 credits, which is about **$0.29 per source minute**, one of the steepest entry rates in the category. Essential month to month is about $0.13, and Growth about $0.082. If you are going to use quso.ai at all, the annual plan is not optional, it is the whole value proposition. To be fair, quso.ai's credits buy more than clipping. The scheduler, planner, analytics and AI writer come out of the same subscription, so a creator who uses the full suite is not paying for clipping minutes alone. That is the honest case for its pricing, and it is why the "per source minute" number is only half the comparison. ## What quso.ai does better, and where it falls short Named plainly, because a one-sided review is not worth reading. **Where quso.ai is genuinely ahead of us:** - **It is a suite, not a clipper.** The content planner, seven-platform scheduler, social analytics, AI writer, text-to-video and AI avatars are real features we do not have. If you want one subscription to run a whole content calendar, that breadth is the point. - **It imports from more places.** Vimeo, Rumble, Loom, LinkedIn, Dropbox, Google Drive and Zoom links all work, on the free plan. We take YouTube, Twitch and Kick links plus direct uploads, which is a shorter list. - **Its free plan renews monthly.** Ours does not. **Where it is weaker or unclear:** - **Lite is credit-starved and TikTok-only.** 100 credits a month and no scheduling beyond TikTok makes the entry paid plan feel like a trial. The useful tier is Essential or Growth. - **Reliability complaints are specific.** On its [Product Hunt page](https://www.producthunt.com/products/vidyo-ai) quso.ai holds 4.3 from 11 reviews, with praise for fast repurposing and criticism that the editor can glitch and force a redo, that a watermark was added to the free plan, and that account deletion is awkward. Its G2 listing is effectively a single review with no written feedback. That is a thin, mixed public record for a tool this old. - **Its own numbers disagree in one place**, as noted in the pricing section. For balance, ScaleReach has limits worth stating too: we delete clips after 15 days on free and 180 days on paid, our exports top out at 1080p rather than true 4K, and our free tier is one-time. We think the focused clip-to-publish workflow and the lower per-minute cost are the trade, but you should know what you give up. ## FAQ ### Is quso.ai the same as vidyo.ai? Yes. quso.ai is vidyo.ai after a 2024 rebrand. The company kept the same clip engine, the same accounts and the same plans, and only changed the name. If you had a vidyo.ai login, it still works, and quso.ai's pricing page carries a banner telling former vidyo.ai users their plan and pricing are unchanged. ### How much does quso.ai cost? The free plan is $0 with 75 credits a month. Paid plans, read off quso.ai's pricing page on 13 October 2026, are Lite at $29 a month ($19 on annual billing), Essential at $39 ($26 annual) and Growth at $49 ($33 annual). Annual billing is about 33% cheaper per month and doubles your monthly credit count, so Lite goes from 100 credits to 200. ### How do quso.ai credits work? One credit equals one minute of imported video, rounded up to the next minute, so a 42-minute video costs 42 credits. Credits are charged once, at import; editing, publishing and downloading afterward cost nothing extra. Monthly credits do not roll over, annual credits arrive up front and reset after 12 months, and separately purchased add-on credits ($0.15 each) never expire. ### Is the quso.ai free plan actually usable? For testing, yes. 75 credits is about 75 minutes of source video a month, and it renews, which is more generous than several rivals. The limits are a quso.ai watermark, 720p exports, a 5 GB upload cap, 7-day storage of your uploads, and publishing to TikTok only. To remove the watermark, export 1080p or schedule to other platforms, you move to a paid plan. ### Is quso.ai good value compared with ScaleReach? It depends on whether you need the suite. On annual billing, ScaleReach Starter gives the same 200 source minutes as quso.ai Lite for roughly half the cost per minute, about $0.05 against $0.095, and includes scheduling. quso.ai is competitive only at its Growth tier. But quso.ai bundles a content planner, analytics and an AI writer that ScaleReach does not, so if you will use those, its price covers more than clipping. ### What can you import into quso.ai? Links from YouTube, Vimeo, X, Facebook, Twitch, Rumble, Loom, LinkedIn and Zoom, plus files from Google Drive, Dropbox or your computer. Every import source is available on the free plan, which is a wider list than most clip tools accept. ## The bottom line quso.ai is a capable all-in-one social suite with a clip engine at its centre, and the vidyo.ai lineage means the clipping itself is mature. The free plan is one of the more generous ways to test AI clipping, and if you want a single tool to clip, schedule, plan and measure, Essential or Growth on annual billing is a reasonable buy. Where it gets expensive is the entry. Lite's 100 monthly credits and TikTok-only publishing make the cheap paid tier a near-trial, and month to month the per-minute cost is among the highest in the category. If your job is mainly turning long videos into captioned vertical clips and posting them, you will get more source minutes per dollar from a focused tool, and you will not pay for a planner you do not open. Decide whether you are buying a clipper or a suite before you compare the prices, because quso.ai is priced as a suite. If a number here looks wrong, tell us at hevin@scalereach.ai and we will check it against the source. --- ## Changelog **October 2026.** First published. All quso.ai pricing, credit and feature facts read off quso.ai's own pricing and help pages on 13 October 2026; review figures from its public Product Hunt page the same day. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 --- # How to Add Hinglish Captions to Shorts and Reels (2026) URL: https://www.scalereach.ai/blog/hinglish-captions-for-shorts-and-reels Published: 2026-10-12 · Author: Hevin K Tags: Captions, Short-Form Video, YouTube Shorts, Instagram Reels, AI Clip Maker To add Hinglish captions to a Short or a Reel, you need a step most caption tools skip: transliteration. Speech-to-text writes Hindi in Devanagari, and it often writes the English words in Devanagari too. Across the 63 Hindi videos ScaleReach processed between 1 September and 12 October 2026, **90.5% of the 180,413 transcribed words came back in Devanagari**. Hinglish captions need the same words, in the same order, at the same timestamps, spelled in Roman letters. Disclosure: ScaleReach converts Hindi captions to Hinglish automatically, and this post compares us with tools we compete with, so weigh the bias. ScaleReach figures come from a read-only query of our production database and from our source code on 12 October 2026. 24 of the 63 videos were processed in our own test workspace, and every example quoted below comes from that workspace, never from a customer's clips. Competitor facts come from each vendor's own pages, read the same day and linked where they appear. We did not test the competitor apps for this post. ## The short answer > **Hinglish captions are a script change, not a translation.** "फेमस इकोनॉमिस्ट" should become "famous economist", and "नाम के" should become "naam ke". Same words, same order, same timing. > > **Expect Devanagari by default.** YouTube's own Hindi captions wrote 95.4% of words in Devanagari in our sample, English words and names included. > > **Pick a tool that converts.** Reap, Kapwing and ScaleReach say they make Hinglish captions. Opus Clip says it doesn't support Hindi at all. > > **Bottom line:** read every clip's captions before you post. Hinglish has no standard spelling, and a word the speech-to-text misheard stays misheard. ## What are Hinglish captions? Hinglish captions are Hindi speech written in Roman letters, the way Hindi is typed in WhatsApp chats and Instagram comments. They are not a translation. The words stay Hindi and only the alphabet changes. - Hindi words are spelled out by sound: "kya", "hai", "nahi", "matlab". - English words spoken in the middle of Hindi stay in English: "economy", "data", "GDP". - Names come back in their usual spelling: "Angus Maddison", "East India Company". - There is no official spelling. "nahi" and "nahin" are both common. Here's one phrase from a public YouTube video processed in our own workspace, three ways: | Version | Text | |---|---| | Devanagari (what speech-to-text gave us) | एंगस मेडिसन नाम के एक बहुत फेमस इकोनॉमिस्ट | | Hinglish (what the captions show) | Angus Maddison naam ke ek bahut famous economist | | English translation (a different job) | a very famous economist named Angus Maddison | The third row is what an English subtitle would say. It reorders the words, so it can't sit on the same word-by-word timings as the speech. That difference decides how a tool has to handle Hindi captions, as the next sections show. ## Why do auto captions come out in Devanagari? Because Devanagari is Hindi's standard script, and speech-to-text models write each language in its standard script. Often that includes the English words people mix in. ScaleReach gets a transcript in one of two ways. For a YouTube link, it first reads the video's own YouTube captions. If there aren't usable ones, it sends the audio to Deepgram's nova-3 model. Both came back mostly in Devanagari: | Where the transcript came from | Videos | Words | In Devanagari | In Roman letters | |---|---|---|---|---| | The video's own YouTube captions | 42 | 121,489 | 95.4% | 0.2% | | Deepgram nova-3 | 21 | 58,924 | 80.4% | 19.0% | | All 63 videos | 63 | 180,413 | 90.5% | 6.3% | Source: ScaleReach production database, read-only query, 12 October 2026. Videos processed from 1 September to 12 October 2026 whose transcript contains Devanagari. The remaining words are numbers and punctuation. YouTube's captions are the extreme case: only 0.2% of their words were in Roman letters, so English words came out in Devanagari almost every time. Across our own workspace's Hindi transcripts, "and" appears as एंड 136 times and "but" as बट 83 times. Deepgram kept more English in Roman letters, which gives you a mixed-script transcript like "human psychology में कोई होता है and that bias is called the peak end rule". The language tag on a transcript can't be trusted either. Of the 77 videos since 1 August whose transcript contained Devanagari, 28 were tagged English in our own database, some of them more than 90% Devanagari. So ScaleReach decides whether to convert by looking at the letters themselves, not the tag. ## Is a Hinglish caption the same as an English translation? No. Translation changes the words. Transliteration changes only the letters. For word-by-word animated captions, that difference decides whether the timing still works. Animated captions highlight each word as it's spoken, so every word carries its own start and end time. A transliterated word replaces the original one for one and keeps its timestamps. A translation has different words in a different order, often a different number of them, so the timestamps no longer line up with the speech. Tools describe this step in different ways. Kapwing treats Hinglish as a translation target: per its [Hinglish subtitles page](https://www.kapwing.com/subtitles/video/hinglish), you run auto-subtitles, choose the original language and set Hinglish as the target language. Reap lists Hinglish among the "romanized scripts" it captions in ([reap.video/captions](https://reap.video/captions)). Neither page says how word timing is handled, so we can't tell you. ScaleReach does the transliteration automatically. Here's what the code does as of 12 October 2026: - **One AI request per batch of clips.** When clips are found, the words of every clip that contains Devanagari go to Google's Gemini Flash in a single request. - **Exactly one output word per input word.** The model is told to keep the same count and order, never translate, leave words already in Roman letters unchanged, and use casual spellings like "kya", "hai" and "nahi" rather than academic transliteration. - **A count check, then a retry.** If a clip comes back with a different word count, that clip is retried on its own. If it fails again, it keeps its Devanagari captions instead of getting broken ones. - **Devanagari still renders if it's kept.** The caption renderer switches Devanagari words to the Noto Sans Devanagari font, so a fallback clip shows proper Hindi text, not empty boxes. The count check shows in the data. The three clips quoted in this post had 287, 187 and 212 source words, and their captions have 287, 187 and 212 words. ## How well does automatic Hinglish conversion work? Since 4 September 2026, 221 of 223 clips with Devanagari words in their transcript got fully Roman-script captions. That's 99.1%. The other 2 kept their original Devanagari words, and no clip came out half converted. | Period | Clips | Fully Hinglish | Kept Devanagari | |---|---|---|---| | 1 to 3 September 2026 (launch, our own test workspace) | 76 | 30 | 46 | | 4 September to 12 October 2026 (all workspaces) | 223 | 221 | 2 | Source: ScaleReach production database, read-only query, 12 October 2026. Counts cover clips still stored on that date. The launch was rough. The first version, shipped on 1 September, decided by the video's language tag, so it skipped Hindi videos tagged English. It also lost long answers: in one logged failure, the model's thinking used 2,591 of its 2,682 output tokens and the answer was cut off before it finished. Both were fixed on 2 and 3 September. Fully converted isn't the same as perfect. Here's what the conversion did with words from the clip in the screenshot below and one other video in our own workspace: | Speech-to-text gave | Captions show | Verdict | |---|---|---| | जीडीपी | GDP | Right, acronym restored | | ईस्ट इंडिया कंपनी | East India Company | Right, name restored | | एंगस मेडिसन | Angus Maddison | Right, name restored | | क्योंकि | kyanki | Wrong, the usual spelling is "kyonki" | | fama (already in Roman letters) | fama | Wrong before conversion: the speaker meant FEMA, and speech-to-text wrote "fama" | The last row is the one to remember. The converter leaves Roman-letter words alone by design, so it can't fix a word the speech-to-text got wrong. Capitals follow the transcript too. The Deepgram transcript in that second video was all lowercase, so its captions read "gift city" where the AI-written clip title says GIFT City. ![ScaleReach clip page for a Hindi YouTube video. The vertical preview shows the burned-in caption "de deti" in Roman letters, and the Transcript tab reads "de deti hai. Angus Maddison naam ke ek bahut famous economist duniya ki 2000 saal ki unhone economy ka hisaab lagaya"](/blog/hinglish-captions-clip-list.webp "A clip from a Hindi YouTube video, processed in our own workspace. The video's YouTube captions were in Devanagari, while the clip's burned-in captions and transcript are in Hinglish. Line three shows the 'Kyanki' slip. Captured 12 October 2026.") ## Which AI clip makers support Hinglish captions? Three of the seven tools we checked say they make Hinglish captions. One says it doesn't support Hindi at all. | Tool | Hindi captions | Hinglish captions | What its own page says | |---|---|---|---| | ScaleReach | Yes | Yes, automatic | Every clip caption with Devanagari words is converted. No setting to keep Devanagari | | Reap | Yes | Yes | "100+ languages, including romanized scripts like Hinglish and Romanized Urdu" | | Kapwing | Yes | Yes | Choose Hinglish as the target language after auto-subtitles | | Vizard | Yes | Not mentioned | Claims "over 97%" accuracy in Hindi, and translates Hindi subtitles into 28 other languages | | Klap | Yes | Not mentioned | Lists Hindi among its 52 languages | | Submagic | Yes | Not mentioned | Hindi is one of 123 listed languages | | Opus Clip | No | No | "OpusClip does not support Hindi at this time" | Sources: [reap.video/captions](https://reap.video/captions), [Kapwing's Hinglish subtitles page](https://www.kapwing.com/subtitles/video/hinglish), [Vizard's Hindi subtitles page](https://vizard.ai/tools/auto-subtitle-generator-online/hindi-subtitles), the FAQ on [klap.app](https://klap.app/), [submagic.co/languages-supported](https://www.submagic.co/languages-supported), and Opus Clip's [Hindi support article](https://help.opus.pro/docs/article/does-opusclip-support-hindi) and [supported languages list](https://help.opus.pro/docs/article/video-languages-supported) (all verified 2026-10-12). ScaleReach: our source code on the same date. "Not mentioned" means exactly that: the vendor's page doesn't say, and we didn't test inside the app. Run a short Hindi clip through any of them before you pay. Reap covers more ground than we do. ScaleReach converts Devanagari only, while Reap also lists Romanized Urdu, Arabizi and Romanized Bengali, and the code sample on its captions page includes a `script: "roman"` option. One claim on that page doesn't hold, though: it calls Reap "the only AI video tool that supports romanized scripts", while Kapwing offers Hinglish subtitles and ScaleReach makes Hinglish captions. Kapwing's own advantage is control. You pick Hinglish explicitly, and its Translation Rules fix how brand names and terms are written across projects. Our [Reap review](/blog/reap-video-review/) covers its pricing and limits. Opus Clip is the clearest case. Its help centre has a one-line article saying "OpusClip does not support Hindi at this time", and its supported languages page lists 25 languages without Hindi. Hindi does appear in the FAQ for Agent Opus, a separate product, but only in its list of voice-cloning languages. ## How do you add Hinglish captions with ScaleReach? 1. **Paste the YouTube link or upload the file.** For a link, ScaleReach uses the language YouTube reports for the video. For an upload, pick Hindi in the Language menu on the configure page so the transcriber doesn't have to guess. 2. **Choose a caption style.** Hinglish words use the style's own font. Any Devanagari word that stays switches to Noto Sans Devanagari. 3. **Let the clips generate.** The conversion runs while clips are detected, so there's no extra button. Clip titles and hook titles come back in Roman script: none of the 216 clip titles from Hindi-tagged videos since 1 September used Devanagari. Hindi videos also produced about as many clips as English ones, 4.8 per 10-to-40-minute video in the last 14 days against 5.1, though that's only 13 Hindi videos. 4. **Read each clip's captions in the editor.** Fix acronyms, names and brand terms, and change spellings you don't like, such as "kyanki" to "kyonki". You can edit any word before you export. 5. **Download the clip or schedule it.** Shorts and Reels publish from the same workspace. For timing, size and placement once the words are right, our guide to [captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/) covers the rest. ## When should you keep Devanagari captions instead? When your viewers read Devanagari comfortably and the speech is formal Hindi with little English, Devanagari captions can read more naturally than long Hindi words spelled in Roman letters. That's a call about your own audience. We have no data on which script performs better, and we haven't seen anyone publish it. ScaleReach doesn't make that choice easy today, so know these limits before you sign up: - **There's no switch to keep Devanagari.** Every clip caption with Devanagari words is converted. Keeping Devanagari means editing the words back by hand. - **The full transcript download stays in Devanagari.** Only clip captions are converted. The SRT, VTT, TXT and JSON downloads of the whole video keep the original script. - **It runs on the script, not the language.** Marathi and Nepali are also written in Devanagari, so their captions are romanized the same way. - **Other scripts aren't converted.** Urdu, Bengali and other non-Devanagari scripts stay as the transcript wrote them. Reap is the tool to try for those. ## FAQ ### What are Hinglish captions? Hinglish captions are Hindi speech written in Roman letters, with the English words left in English: "Angus Maddison naam ke ek bahut famous economist" instead of "एंगस मेडिसन नाम के एक बहुत फेमस इकोनॉमिस्ट". The words don't change, only the alphabet, so they aren't a translation. They match how Hindi is typed in chats and comments, which is why creators use them on Shorts and Reels. ### How do I convert Hindi captions to Hinglish? Use a caption tool that transliterates rather than translates, or edit the words by hand. ScaleReach converts automatically: paste a Hindi YouTube link and every clip's captions come out in Roman letters, with the timings unchanged. Reap lists Hinglish as a caption script, and Kapwing lets you set Hinglish as the target language after auto-subtitles. Whichever you use, read the captions before posting, because spellings vary. ### Is Hinglish the same as translating Hindi to English? No. Translation changes the words and usually their order: "naam ke ek bahut famous economist" becomes "a very famous economist named". Transliteration keeps every Hindi word and only changes the script. That matters for word-by-word captions, because each word has its own timestamp. A transliterated word keeps it, while a translated sentence no longer lines up with the speech. ### Why do my Hindi captions show English words in Hindi script? Because the speech-to-text model wrote the whole transcript in Devanagari, English words included. YouTube's own Hindi captions do this almost every time: across 42 videos in our sample, 95.4% of words were Devanagari, and in our own workspace "and" appeared as एंड 136 times. Converting to Hinglish restores those words. In our data, जीडीपी came back as "GDP" and फेमस इकोनॉमिस्ट as "famous economist". ### Does Opus Clip support Hindi or Hinglish captions? No. Opus Clip's help centre has a one-line article that says "OpusClip does not support Hindi at this time", checked on 12 October 2026. Its supported languages page lists 25 languages, and Hindi isn't one of them. Hindi appears only as a voice-cloning language for Agent Opus, a separate product. If you want Hinglish captions specifically, Reap, Kapwing and ScaleReach say they make them. ### Can I make Hinglish captions for free? Yes, on free plans with limits. ScaleReach converts captions on every plan, including the free one, where clips carry a watermark. The free allowance is on our [pricing page](/pricing/). Reap's free plan includes 1 hour of captioning with 720p exports, per its captions page. Kapwing's Hinglish subtitles are free to try with limited minutes, and its free exports are watermarked. All three were checked on 12 October 2026. ## The bottom line Hinglish captions are a transliteration job: same words, same order, same timestamps, Roman letters. Speech-to-text won't do it for you. It writes Hindi in Devanagari, and YouTube's own captions do the same to English words and names. So the tool you caption with has to convert, and it has to convert word for word, or the animated captions drift off the speech. ScaleReach, Reap and Kapwing say they do this, and Opus Clip doesn't support Hindi at all. Whichever you pick, the last step is yours: read the captions. Conversion fixes the alphabet, not what the speech-to-text heard, and Hinglish has no spelling rulebook. Every ScaleReach number here comes from our production database and source code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** First published. Script mix, transcript sources, language tags, conversion outcomes, clip titles and clip counts were measured from ScaleReach's production database on 12 October 2026. Conversion behaviour, retries and fonts come from our production code as of that date. Vendor language support was read from each vendor's own page on 12 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether ScaleReach adds a setting to keep Devanagari or romanizes other scripts; whether Opus Clip adds Hindi; whether Vizard, Klap or Submagic start stating Hinglish support; re-measure the conversion rate once more Hindi clips have been processed. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos, including Hindi and Hinglish ones, into captioned vertical clips. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited.* --- # How to Make Minecraft Parkour Videos for TikTok and Shorts URL: https://www.scalereach.ai/blog/how-to-make-minecraft-parkour-videos Published: 2026-10-12 · Author: Hevin K Tags: Short-Form Video, TikTok, YouTube Shorts, Workflow To make a Minecraft parkour video, decide first what goes on top of the gameplay, because that decides the tool. A script read by an AI voice needs a text-to-parkour generator. A clip from a video you already recorded needs a split-screen tool. The parkour itself is only the backdrop, and Mojang draws the same line: its usage guidelines let you earn from Minecraft footage only if you "add enough of your own unique content". On our side, the **7 Minecraft parkour loops ScaleReach ships run 90 seconds each**, so clip length matters more than you'd think. Disclosure: ScaleReach makes a [Minecraft parkour split-screen tool](/tools/minecraft-video-generator-tool/), so weigh the bias. It does one of the three jobs below, not all of them. ScaleReach facts come from a read-only query of our production database and from our source code on 12 October 2026. The other tools are described from their own pages and Mojang's rules from minecraft.net, all read the same day. We did not test the other tools. ## The short answer > **Have a script, a story or a PDF?** Use a text-to-parkour generator. An AI voice reads your text over parkour gameplay with captions. Revid, Zebracat and ClipTalk all describe this on their pages. > > **Have a video?** Use a split-screen tool. Your clip goes on top, parkour plays underneath, and your audio carries it. That's the job ScaleReach does. > > **Have only an idea?** AI video generators such as Pixazo make Minecraft-style footage from a prompt, a few seconds at a time. > > **Bottom line:** the gameplay holds the eye, but the voice or the clip on top is the content. That's also where Mojang draws the line for making money from gameplay. ## What is a Minecraft parkour video? It's a vertical short where continuous Minecraft parkour gameplay fills the screen or its bottom half, while something else carries the content: a narrated story, study notes, a podcast moment. Revid's page defines it as "the split-attention short format where a narrator reads a story, facts or study notes over Minecraft parkour gameplay, with big captions on screen." - It's 9:16 and 1080 × 1920, sized for TikTok, YouTube Shorts and Instagram Reels. - It's short. Revid says most "run 30 to 60 seconds", and Zebracat tells you to "aim for 30 to 60 seconds". - The gameplay is usually silent. The voice or the clip's own audio is what you hear. - It's the same family as the Subway Surfers and GTA versions. The layout basics, split ratios and loop lengths are in our [Subway Surfers split-screen guide](/blog/how-to-make-a-subway-surfers-split-screen-video/). ## Which Minecraft parkour video generator do you need? "Minecraft parkour video generator" names three different kinds of tool. Pick by what you're starting with: | You start with | What the tool makes | Kind of tool | Examples, from their own pages | |---|---|---|---| | A script, a Reddit story, study notes or a PDF | An AI voiceover and captions over parkour gameplay | Text-to-parkour generator | Revid, Zebracat, ClipTalk | | A video you recorded: a podcast, a stream, an interview | Your clip on top, parkour gameplay below | Split-screen clip tool | ScaleReach, or any video editor by hand | | A text prompt | New Minecraft-style footage made by AI | AI video generator | Pixazo | Sources: [Revid](https://www.revid.ai/tools/minecraft-parkour-video), [Zebracat](https://www.zebracat.ai/tools/minecraft-parkour-video-generator), [ClipTalk](https://www.cliptalk.pro/minecraft-parkour-video-generator) and [Pixazo](https://www.pixazo.ai/minecraft-parkour-video-generator) tool pages (all verified 2026-10-12). Each kind has its own catch. Text-to-parkour videos use a synthetic voice, so the script is the only part that's yours. Split-screen needs footage with someone talking in it. And AI-generated footage isn't gameplay at all: Pixazo's own page says its videos "are AI interpretations, and not actual Minecraft gameplay recordings", and that most of its models make clips "between 3-10 seconds". ## How do you make a Minecraft parkour video from text? With a generator, you paste the text, pick a voice and a background, and download a 9:16 video. Here's what three of them say they do: - **Revid:** "Paste a script, a story or your notes, or upload a PDF", or link a tweet, LinkedIn post or blog post. The default voice is a fast AI voice "at about 1.2x speed", with 70+ languages to choose from. Meme GIFs and sound effects are on by default, and each has its own switch. - **Zebracat:** takes a Reddit thread, a prompt, a PDF or a URL. Its parkour scenes cover "classic, sky island, neon, ice tower, jungle, and lava variants", and it can clone your voice. - **ClipTalk:** lets you write the script "free (no signup)", then renders the video with "50 free credits, no card" once you create an account. To do it by hand instead: 1. **Write a script that reads in 30 to 60 seconds.** One story, one fact or one section of your notes per video. 2. **Make the voiceover.** Any text-to-speech tool works, but recording your own voice is the version Mojang names as unique content. 3. **Record the parkour yourself.** Play a parkour map and capture it. That keeps the footage yours. 4. **Stack it in a 1080 × 1920 project.** Gameplay full screen, or in the bottom half under an image or text. 5. **Add word-by-word captions and export.** Captions carry the story for anyone watching with the sound off. ScaleReach can't do this one. It starts from a video with someone speaking in it, so a script on its own gives it nothing to clip. ## How do you put Minecraft parkour under your own video? In ScaleReach, it's a setting on the configure page: 1. **Paste a YouTube link or upload the file.** 2. **Turn on Split screen.** It's on the [Starter, Pro and Agency plans](/pricing/). The Free plan shows an upgrade prompt. 3. **Filter the backgrounds to Minecraft and pick one or more of the 7 loops.** If you pick several, each clip draws one at random. If you pick none, every clip draws from all 27 loops in the library, so GTA 5 or ASMR footage can turn up. Of the 42 split-screen videos where someone picked loops by hand, 12 picked Minecraft. 4. **Set the split.** The top share runs from 30% to 70%, and 88 of the 90 split-screen videos we've processed kept the default 50%. 5. **Generate.** Every clip the AI finds comes out 1080 × 1920 with captions burned in. Only your clip's audio plays. Three things the code does that are easy to miss: - **Face tracking switches off.** Turning split screen on forces 9:16 and turns off the face-tracking crop, so the top half is a centre crop of your original frame. How much of a 16:9 frame survives depends on the split: | Top share | Top half | Width of a 16:9 frame kept | |---|---|---| | 30% | 1080 × 576 | 100% | | 40% | 1080 × 768 | 79% | | 50% (default) | 1080 × 960 | 63% | | 60% | 1080 × 1152 | 53% | | 70% | 1080 × 1344 | 45% | Source: ScaleReach rendering code, 12 October 2026. Percentages are for a 1920 × 1080 source. So if your source is a wide shot of two people, a 50/50 split can cut off whoever sits near the edge, and a smaller top half keeps more of the frame. Ordinary clips don't have this problem because they track faces, as covered in [how to convert landscape video to vertical](/blog/convert-landscape-video-to-vertical/). - **The Minecraft loops are 720p.** All 7 are stored at 1280 × 720, so at a 50/50 split the gameplay is scaled up 1.33 times, to 1707 × 960, and cropped to the 1080 × 960 half. - **Clip length decides where the gameplay starts.** A clip of 45 seconds or less starts at a random point in the 90-second loop, so clips from the same video open on different gameplay. A clip between 45 and 90 seconds starts at the beginning of the loop. A clip longer than 90 seconds plays the loop more than once. ![ScaleReach clip card for a split-screen clip: a 45-second 1080 by 1920 vertical clip with the original footage in the top half, Minecraft parkour gameplay in the bottom half and a caption on the seam, virality score 98, with the clip transcript beside it](/blog/minecraft-parkour-split-clip.webp "A split-screen clip from a public YouTube video, processed in our own workspace: source footage on top, a Minecraft parkour loop underneath, captions on the seam.") To do the same by hand in any layered editor, the manual method in our [Subway Surfers split-screen guide](/blog/how-to-make-a-subway-surfers-split-screen-video/) works the same with Minecraft footage. ## Where do you get Minecraft parkour footage? From one of three places: - **Your own recording.** Mojang's guidelines start from "videos, streams, and screenshots of you playing or using Minecraft". Footage you captured yourself is the cleanest kind to build on. - **A tool's built-in library.** Revid has a "built-in Minecraft parkour footage library", Zebracat ships its own parkour scenes, ClipTalk says it supplies "its own clean parkour loops", and ScaleReach has the 7 loops above. - **A "no copyright" download.** That label is the uploader's own statement. Read the terms they actually give before a channel depends on it. ClipTalk's page calls "pulling someone else's gameplay" exactly the step its tool removes. ## Can you monetize Minecraft parkour videos? Mojang says yes, with conditions. Its [usage guidelines](https://www.minecraft.net/en-us/usage-guidelines) allow you to "put footage of our game on YouTube, Twitch, or any other website and make money from them", so long as the videos are free to view, you don't sell copies, and you "add enough of your own unique content to the video or stream to make it reasonable for you to make money through someone watching it". The example Mojang gives of enough is "your own audio commentary to footage of your gameplay". The line that matters most for this format comes right after it: "You can't just include your logo, web address, or overlays on top of our or someone else's gameplay". Mojang adds that "we reserve our right to decide on if your content is unique enough". In practice, the voice or the clip on top has to be the reason someone watches. The parkour can't be. YouTube applies its own reused-content rules on top of Mojang's. We quoted them in the monetization section of our [Subway Surfers split-screen guide](/blog/how-to-make-a-subway-surfers-split-screen-video/), and they point the same way: your own recording on top, gameplay as the backdrop. ## FAQ ### What is a Minecraft parkour video generator? It's a tool that puts Minecraft parkour gameplay behind other content, and the name covers three kinds. Text-to-parkour generators such as Revid, Zebracat and ClipTalk read your script or PDF in an AI voice over parkour footage. Split-screen tools such as ScaleReach put a clip from your own video on top of the gameplay. AI video generators such as Pixazo make new Minecraft-style footage from a prompt. ### How do I turn text into a Minecraft parkour video? Paste the text into a text-to-parkour generator, pick a voice and a parkour background, and export the 9:16 video. Revid and Zebracat both accept a script or a PDF, and Zebracat also takes Reddit threads. By hand, write a 30 to 60 second script, make a voiceover, record parkour gameplay, stack it in a 1080 × 1920 project and add word-by-word captions. ### Is there a free Minecraft parkour video generator? Partly. ClipTalk's page says writing the script is free with no signup, and rendering uses "50 free credits, no card" once you have an account. Zebracat and Pixazo invite you to start free without stating the limits on those pages. ScaleReach's split screen is on the Starter, Pro and Agency plans, not the free one. Making the video by hand costs nothing but time. ### Can I use Minecraft gameplay in my videos? Yes, under Mojang's usage guidelines. They allow "videos, streams, and screenshots of you playing or using Minecraft", and money from ad revenue if the videos are free to view and you add enough of your own unique content. Mojang's example is your own commentary. It says you "can't just include your logo, web address, or overlays" on top of someone's gameplay, and it decides what counts as unique enough. ### How long should a Minecraft parkour video be? Aim for 30 to 60 seconds, which is the range Revid and Zebracat both give on their pages. ScaleReach's split-screen clips run a median of 44 seconds, and 84.4% are a minute or shorter. Our Minecraft loops are 90 seconds long, so a clip of 45 seconds or less also gets a random start point in the gameplay, and nothing under 90 seconds repeats it. ### Can you monetize Minecraft parkour videos on YouTube? Mojang allows ad revenue on Minecraft footage if your video adds enough of your own content, such as your own commentary, and is free to view. YouTube's reused-content rules apply on top of that. Both point the same way: the voice or the clip on top has to be yours, and a video where neither the gameplay nor the content on top is yours is what both sets of rules warn against. ## The bottom line Before you pick a Minecraft parkour video generator, check what you're starting with. A script goes to a text-to-parkour generator that adds an AI voice. A video goes to a split-screen tool that keeps your own voice. A bare prompt goes to an AI video generator, and you get seconds of footage, not real gameplay. Whichever route you take, the parkour is the backdrop. Mojang's guidelines and YouTube's rules both look at what you added on top, so put your effort into the script or the clip, and record your own gameplay if you can. Every ScaleReach number here comes from our production database and source code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **14 October 2026 correction.** This post said split screen was on the Pro and Agency plans only. On 13 October the app opened it to the Starter plan, matching the pricing page, so the post now says Starter, Pro and Agency. **12 October 2026 update.** First published. Background library details (7 Minecraft loops at 90 seconds and 1280 × 720), split ratios, background picks and split-screen clip lengths were measured from ScaleReach's production database on 12 October 2026. Plan access, the face-tracking switch-off, crop behaviour and loop start points come from our production code as of that date. Other tools' features were read from their own pages, and Mojang's rules from minecraft.net, on 12 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether Mojang changes its usage guidelines for videos; whether ScaleReach adds face tracking to split-screen clips, longer or higher-resolution Minecraft loops, or split screen on more plans; whether the other tools change what they accept or what's free. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips, including split-screen shorts with Minecraft parkour gameplay underneath. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited.* --- # 5 Best Klap Alternatives in 2026 (Priced Monthly & Yearly) URL: https://www.scalereach.ai/blog/best-klap-alternatives Published: 2026-10-09 · Author: Hevin K Tags: Klap, Alternatives, AI Clip Maker, Pricing Klap's pricing page advertises Basic at $14 a month. That is the yearly rate. Billed monthly, Basic was $29 when I last read the toggle on 29 September 2026, and Pro and Pro+ follow the same pattern at roughly double. Most people searching for a Klap alternative are reacting to that gap, so this post prices every tool both ways. Disclosure: I run ScaleReach, which is one of the five tools below, so I have a stake in this ranking. No affiliate links, and no vendor paid for placement. I paid for Klap, Opus Clip and Vizard to write [the reviews](/blog/klap-review-for-short-form-teams/) this post leans on. I did not buy or test Reap or 2short.ai, so for those two this is a pricing-page read and nothing more. Our later page-based reviews of [Reap](/blog/reap-video-review/) and [2short.ai](/blog/2short-ai-review/) go further, though neither is hands-on. All prices below were read from each vendor's own pricing page on 9 October 2026 unless a row says otherwise. ## The 60-second verdict > **Switch if** you pay Klap monthly. Opus Clip ($15), ScaleReach ($12) and 2short.ai ($9.90) all undercut Klap Basic's $29 on a month-to-month plan. > > **Stay if** you pay Klap yearly. At $14 a month for 100 clips, Klap is competitive with every tool here, and its per-clip billing suits long source videos. > > **Pick by what you want to escape:** Opus Clip for the closest feature match, Vizard for the most minutes per dollar from a mainstream tool, Reap for the lowest published rate, 2short.ai for the lowest monthly entry price, ScaleReach for low monthly cost with built-in scheduling. > > **Bottom line:** there is no single best alternative. The right one depends on whether you pay monthly or yearly and whether you clip a few long videos or many short ones. ## Why people look for a Klap alternative Three things come up repeatedly, and the first one is a number you can check yourself. 1. **The monthly price is about double the headline.** Klap's 50% yearly discount applies to every paid tier. Basic, Pro and Pro+ were $29, $79 and $189 monthly against $14, $39 and $94 billed yearly. On 9 October the page rendered only the yearly figures, so the monthly numbers come from my 29 September reading. 2. **The billing unit changed.** Klap used to meter by uploads. It now meters by clips: 100, 300 and 1,000 a month on the three plans. The page says "Only pay for clips you generate." 3. **Support and refund complaints.** In my [Klap review](/blog/klap-review-for-short-form-teams/), the most-cited complaint across Trustpilot and ProductHunt was the gap between the advertised 14-day money-back guarantee and what users report getting. My one Discord support question took 4 days to get a first reply. I did not test the refund flow. Nothing in that list is about clip quality. In my test Klap returned 64 clips from five videos, and 9 were unusable. If your complaint is price, billing or support, an alternative can fix it. If your complaint is clip selection, switching tools will change the output but not guarantee a better one. ## Klap pricing: monthly vs yearly | Plan | Monthly | Billed yearly | Clips/month | Cost per clip (monthly / yearly) | |---|---|---|---|---| | Basic | $29 | $14 | 100 | $0.29 / $0.14 | | Pro | $79 | $39 | 300 | $0.26 / $0.13 | | Pro+ | $189 | $94 | 1,000 | $0.19 / $0.09 | Source: [klap.app/pricing](https://klap.app/pricing). Yearly figures and clip limits read 9 October 2026. Monthly figures read 29 September 2026 from the monthly toggle and not re-read today. Cost per clip is the plan price divided by the monthly clip limit, so it assumes you use every clip. Klap offers one free video with no credit card, per its homepage on 29 September. The pricing page no longer lists per-plan feature gates, so I am not repeating the 4K and dubbing gates I saw in May. ## Klap alternatives compared Each row is the cheapest paid plan that removes the watermark. The units differ, which is why the last column exists. See the [three pricing units explained](/blog/best-opus-clip-alternatives/) for why headline prices across these tools are not directly comparable. | Tool | Monthly | Yearly (per month) | Allowance | Unit | Per source minute (monthly / yearly) | |---|---|---|---|---|---| | Klap Basic | $29 | $14 | 100 clips | clips | n/a (per clip $0.29 / $0.14) | | Opus Clip Starter | $15 | not read | 150 min* | source minutes | $0.100 / not read | | Vizard Creator | $29 | $14.50 | from 600 credits | source minutes | $0.048 / $0.024 | | Reap Creator | not shown | $9.99 | up to 10 hours | hours | not published / $0.017 | | 2short.ai Lite | $9.90 | not read | 5 hours of analysis | source minutes | $0.033 / not read | | ScaleReach Starter | $12 | $10 | 200 min | source minutes | $0.060 / $0.050 | Sources: [opus.pro/pricing](https://www.opus.pro/pricing), [vizard.ai/pricing](https://vizard.ai/pricing), [reap.video/pricing](https://reap.video/pricing), [2short.ai/en/pricing](https://2short.ai/en/pricing/), [scalereach.ai/pricing](/pricing/), all read 9 October 2026. Notes on the gaps, which I left blank instead of estimating: - *Opus Clip's pricing page no longer lists processing minutes. The 150-minute figure for Starter is from my 1 May check, so $0.100 per minute is only as current as that. Its yearly prices were not on the page today either. - Vizard's page shows $29 struck through beside $14.50. I read the struck-through figure as the monthly price, and the 600-credit figure is the lowest tier of a credit dropdown that goes up to 74,400 credits a year. One credit is one minute of uploaded video. - Reap shows $24 struck through beside $9.99, with no label saying what $24 is. I am not publishing it as a monthly price. Each Reap card also says "up to" 10 hours, and I could not resolve whether that is a hard cap. See the [Reap review](/blog/reap-video-review/). - 2short.ai's page showed $9.90, $19.90 and $49.90 with no monthly or yearly toggle that I could read, so I list them as monthly and leave yearly blank. ## Best Klap alternatives, by what you are escaping ### 1. Opus Clip: the closest feature match **Better than Klap at:** content breadth and a longer public track record. My Opus Clip test covered podcasts and long YouTube uploads, and I found its auto-reframe reliable. Pro lists scheduling to six platforms and Business has unlimited seats on its pricing page today. **Worse at:** the billing unit. Opus charges per source minute, so a 45-minute video costs 45 credits whether you keep 5 clips or 25. In my test 62% of its clips were publishable as-is, and the cost-per-usable-clip math depends on your discard rate. **Skip if** you cancel often. 22% of Trustpilot reviews are one-star, and Opus Clip's own cancel screen says projects become inaccessible after 3 days. Full numbers in the [Opus Clip review](/blog/opus-clip-review/). ### 2. Vizard: most minutes per dollar from a mainstream tool **Better than Klap at:** price per source minute. Creator at $14.50 billed yearly is about $0.024 per minute against Klap Basic's $0.14 per clip. Business adds a shared workspace and a brand kit, at $5 per extra seat per month. **Worse at:** creative judgment. My hands-on test found its clips technically clean and well captioned, but not always the moments a creator who knows the audience would pick. Plan to review every clip. **Skip if** you want AI dubbing. I did not see it on Vizard's pricing page. Details in the [Vizard review](/blog/vizard-review-for-podcast-and-webinar-clips/). ### 3. Reap: lowest published yearly rate **Better than Klap at:** headline price. Creator is $9.99 a month billed yearly ($119.88 a year) for up to 10 hours, with 1080p and no watermark. Studio is $29 a month billed yearly ($348) for up to 20 hours, 4K and 3 seats. Reap also lists dubbing and an MCP server. **Worse at:** evidence. G2 shows 5.0 from 11 reviews and Trustpilot 3.8 from 2 as of 8 October. That is too few to judge. I did not test it, and I could not confirm whether "up to 10 hours" is enforced as a hard limit. **Skip if** you need a proven support record or a published monthly price. ### 4. 2short.ai: lowest monthly entry price **Better than Klap at:** month-to-month cost. Lite is $9.90 for 5 hours of AI analysis plus 60 minutes of fast server-side exports. There is also a free Starter tier with 30 minutes of analysis a month. **Worse at:** I have not tested its output, and my [Opus Clip alternatives roundup](/blog/best-opus-clip-alternatives/) recorded no scheduling on 2short.ai at its last check. I did not re-check that today. **Skip if** you need a scheduler or already have a Klap workflow you like. ### 5. ScaleReach: low monthly cost with scheduling built in **Better than Klap at:** monthly price and a scheduler on every paid plan. Starter is $12 monthly or $10 yearly for 200 source minutes. The free plan is a one-time trial of 100 minutes, watermarked, capped at 30 minutes per upload. **Worse at:** several things, and you should know them before switching: - **Cost per minute is not the lowest.** Vizard and Reap both beat $0.050 on yearly pricing. - **Source length is capped.** Starter takes uploads up to 2 hours and Pro up to 3. Klap's per-clip billing has no source-minute meter, so very long videos are cheaper there. - **TikTok publishing has never completed successfully** in production, because TikTok limits unaudited apps to private posts. YouTube and Instagram have published at volume. The [auto-posting comparison](/blog/auto-post-clips-to-tiktok-instagram-youtube/) has the detail. - **Dubbing.** If Klap's 29-language dubbing is why you pay for it, read the [dubbing guide](/blog/ai-dubbing-for-shorts-natural-sounding-tools/) before leaving. **Skip if** you clip more than about 600 source minutes a month on a small budget. Starter and Pro (400 minutes) will not cover it, and the next tier is Agency at $99 monthly or $49 yearly for 5,000 minutes. Side by side: [ScaleReach vs Klap](/alternatives/klap/). ## Two worked examples ### A solo podcaster: two 45-minute episodes a month That is 90 source minutes. At the 13 clips per upload I saw in my Klap test, about 26 clips. Every plan above covers this volume, so price alone decides. | Tool | Monthly | Billed yearly (per month) | |---|---|---| | 2short.ai Lite | $9.90 | not read | | ScaleReach Starter | $12 | $10 | | Opus Clip Starter | $15 | not read | | Reap Creator | not shown | $9.99 | | Klap Basic | $29 | $14 | | Vizard Creator | $29 | $14.50 | Month to month, Klap Basic and Vizard Creator are the most expensive of the plans with a published monthly price. Billed yearly, Klap lands next to Vizard, with Reap and ScaleReach a few dollars below. ### A small agency: 10 hours of source a month That is 600 source minutes. If those are 13 uploads of about 45 minutes, I would expect around 170 clips at the same yield. That assumption is mine and your yield will differ. - **Klap Pro** covers it: 300 clips at $79 monthly or $39 yearly. - **Vizard Creator** covers it on the lowest credit tier: 600 credits at $29 monthly or $14.50 yearly. - **Reap Creator** advertises up to 10 hours at $9.99 yearly. - **ScaleReach** needs Agency for 600 minutes: $99 monthly or $49 yearly. This is the case where I would not tell you to switch. - **Opus Clip** Starter and Pro (150 and 300 minutes, as of May) do not cover it, so you are into custom Business pricing. For the multi-client setup question, see [clipping for agencies](/blog/ai-clipping-for-agencies-multiple-clients/). ## When to stay with Klap Klap has real strengths, and an alternative that matches its price still has to beat them: - **Per-clip billing favors long videos.** A 2-hour podcast costs the same per clip as a 20-minute one, with no source-minute meter. - **Unlimited social accounts** are listed on every plan. - **Dubbing in 29 languages and 4K export** were real differentiators when I tested in May. I could not re-verify which plan gates them today. - **$14 a month yearly** for 100 clips is cheap if the workflow fits. The caveat is the annual lock-in. My advice from the review stands: test on monthly first, and switch to yearly only after one full billing cycle confirms the workflow fits. The monthly premium is the price of keeping that option. ## FAQ ### What is the cheapest Klap alternative? On published yearly prices, Reap Creator at $9.99 a month is the lowest, then ScaleReach Starter at $10. On monthly billing, 2short.ai Lite at $9.90 is the lowest, then ScaleReach Starter at $12 and Opus Clip Starter at $15. Reap shows no labelled monthly price. The cheapest tool is not always the cheapest per usable clip, so check how each one meters usage. ### Is there a free alternative to Klap? Several tools have a free tier. Vizard gives 60 credits a month at 720p, 2short.ai gives 30 minutes of AI analysis a month, and Reap gives up to 1 hour a month at 720p with a watermark. Opus Clip has a watermarked free plan. ScaleReach gives a one-time 100-minute trial, not a recurring allowance. Klap offers one free video. ### How much does Klap cost per month? Klap Basic is $14 a month billed yearly for 100 clips, Pro is $39 for 300 and Pro+ is $94 for 1,000. Billed monthly, the same plans were $29, $79 and $189 when I read the toggle on 29 September 2026. The pricing page only rendered the yearly figures on 9 October, so confirm the monthly price at checkout before you subscribe. ### Why does Klap charge per clip instead of per minute? Klap meters by clips out, not source minutes in. Its page says "Only pay for clips you generate." That makes long videos cheap, because a 2-hour episode and a 20-minute one cost the same per clip. It also means discarded clips may still count against your cap. I did not confirm that, so test one video before committing. ### Which Klap alternative can schedule posts? Opus Clip lists scheduling to six platforms on Pro and Business, and Vizard lists scheduling on Creator and Business with 6 and 20 social accounts. ScaleReach includes a scheduler on paid plans, but TikTok publishing has not completed successfully in production. I did not check scheduling on Reap, and my last check on 2short.ai found none. ### Is Klap worth it in 2026? Klap is worth it for talking-head and podcast content if you pay yearly and want per-clip billing or AI dubbing. It is a weaker deal month to month, where Basic costs $29 against $12 to $15 for comparable entry plans. Support and refunds are the main risk. The full test is in my [Klap review](/blog/klap-review-for-short-form-teams/). ## The bottom line Klap's headline price is its yearly price. If you commit to a year, it competes with every tool in this list, and per-clip billing makes it the better deal for very long source videos. If you pay monthly, it is the most expensive entry plan here, and any of Opus Clip, ScaleReach or 2short.ai costs less. Among the alternatives, Vizard gives the most source minutes per dollar from a mainstream tool and Reap has the lowest published rate but the thinnest evidence. Opus Clip is the closest match to Klap's workflow. ScaleReach is the cheapest monthly option with a scheduler, and the wrong one above roughly 600 source minutes a month. For a wider ranking across the category, see the [best AI video clipping tools](/blog/best-ai-video-clipping-tools/). If a number on this page looks wrong, tell me at hevin@scalereach.ai and I will check it against the vendor's page. --- ## Changelog **9 October 2026.** First version. Prices read from vendor pricing pages on this date. Klap's monthly prices are from 29 September 2026 because the monthly toggle did not render on 9 October. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** Klap monthly and yearly prices and clip limits; whether Opus Clip relists processing minutes; whether Reap clarifies "up to N hours" and its struck-through prices; 2short.ai monthly vs yearly pricing; ScaleReach plan allowances. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), which turns long videos into clips and schedules them, starting at $10/month on annual billing. This comparison is based on vendor pricing pages read on 9 October 2026 and on my own paid tests of Klap, Opus Clip and Vizard. Reap and 2short.ai were not tested. No affiliate relationships with any tool listed.* --- # Clip YouTube Videos by Chatting With Claude (MCP Guide) URL: https://www.scalereach.ai/blog/clip-youtube-videos-with-claude-mcp Published: 2026-10-08 · Author: Hevin K Tags: MCP, AI Clip Maker, Workflow, Social Scheduler ScaleReach's MCP server lets Claude, Cursor, Kiro or any MCP client submit a YouTube link, wait for the AI-detected moments, download the scored clips and schedule them to Instagram, TikTok or YouTube from one conversation. The hosted server exposes 14 tools and the npm package exposes 15. I read the source of both, the backend they call and the competing MCP servers' own pages on 8 October 2026, and this is what I found, including the parts that are weaker than they should be. Disclosure: I run ScaleReach, which publishes this post and competes with Opus Clip, Reap and Submagic, all of which ship their own MCP servers. I did not pay for or get paid by any of them, and there is no affiliate relationship. Every competitor fact below comes from a page that vendor controls, linked and dated. ## The 60-second verdict > **Use it if** you already live in Claude or Cursor and want the loop of submit, check status, pick a clip, schedule it, without opening a dashboard. > > **Skip it if** you want the agent to edit clips. ScaleReach's server has no trim, caption-fix or export tools. Opus Clip's MCP does, and it signs you in with OAuth instead of a key. > > **Be careful with** the API key. It sits in the connector URL, it has no read-only mode, and every key can delete videos and publish posts. > > **Bottom line:** a small, working clip-and-schedule pipeline behind a chat window. It is not yet a full video agent. ## What is the ScaleReach MCP server? The ScaleReach MCP server is a Model Context Protocol server that wraps the ScaleReach API, so an AI app can call clipping and scheduling as tools instead of you clicking through the dashboard. [MCP](https://modelcontextprotocol.io/) is the open standard that lets an AI app discover and call external tools through one interface. Two versions exist and they are not identical: - **Hosted server** at `mcp.scalereach.ai`. Nothing to install. 14 tools. - **npm package** [`scalereach-mcp`](https://www.npmjs.com/package/scalereach-mcp), version 1.3.3, MIT licence, published 21 April 2026. Runs locally. 15 tools. The [/mcp page](/mcp/) says all three setup options give you "the same 15 tools". That is not accurate for the hosted URL, which has no `configure_video` tool. More on the other gaps below. ## How do I connect ScaleReach to Claude? You need an API key first, then one of three routes. Full steps live in the [ScaleReach MCP docs](https://docs.scalereach.ai/docs/mcp). ### How do I get an API key? 1. Open your workspace, then **Settings, API Keys**. 2. Create a key with a name that says where it will live, such as `claude-laptop`. 3. Pick an expiry. The form offers Never, 30, 60, 90 days or 1 year, and defaults to Never. 4. Copy the key now. It starts with `sr_live_` and is shown once. Only a workspace owner or admin can create, revoke or delete keys, and a workspace can hold at most 25. A key belongs to one workspace, and the API checks it against the workspace on workspace-scoped routes. ### Route 1: Claude.ai in the browser Add a custom connector pointing at `https://mcp.scalereach.ai/mcp/sr_live_YOUR_KEY`. Per [Anthropic's connector guide](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp), custom connectors are available on Free, Pro, Max, Team and Enterprise plans. On Pro and Max you go to **Customize, Connectors, Add, Add custom connector**, enter a name and the URL, and choose **No sign in** under Authentication, because the key is already in the URL. On Team and Enterprise only an Owner can add the connector. Two notes on accuracy. Our docs still say **Settings, Connectors** and "leave OAuth fields empty", which is older wording than Anthropic's current menu. And I did not click through this on a live Claude account for this post. The "No sign in" choice follows from the server: a request without a key returns a 401 that asks for one and offers no OAuth flow. ### Route 2: Claude Desktop, Cursor, Windsurf or Kiro Run this once, with your key: ```bash npx scalereach-mcp setup sr_live_YOUR_KEY ``` The setup script writes the server into the config file of each of those four apps it finds on your machine. Restart the app afterwards. `npx scalereach-mcp uninstall` removes it again. ### Route 3: Manual JSON config For any other client, add the local server to its MCP config: ```json { "mcpServers": { "scalereach": { "command": "npx", "args": ["-y", "scalereach-mcp"], "env": { "SCALEREACH_API_KEY": "sr_live_YOUR_KEY" } } } } ``` The hosted server also accepts the key as an `Authorization: Bearer sr_live_...` header, which keeps it out of the URL for clients that support custom headers. Step-by-step guides for 17 tools are listed on the [/mcp page](/mcp/). ## What can the ScaleReach MCP tools do? Fifteen tools in the npm package, fourteen on the hosted server. The only one missing from the hosted server is `configure_video`. | Group | Tool | What it does | |---|---|---| | Clipping | `validate_youtube_url` | Returns title, duration and channel before you commit | | Clipping | `submit_youtube_video` | Submits the link with caption style, custom prompt, genre, aspect ratio and clip length | | Clipping | `configure_video` | Changes settings on a submitted video (npm package only) | | Clipping | `get_video_status` | Reports the stage and progress percentage | | Clipping | `regenerate_video` | Re-downloads, re-transcribes and re-detects from scratch | | Clips | `get_video_clips` | Lists clips with titles, virality scores, timestamps, transcripts, hooks and emotions | | Clips | `get_clip_details` | One clip in detail, including recommended platforms | | Clips | `get_clip_download` | A temporary signed download link, only for clips that are ready | | Library | `list_my_videos` | Videos in the workspace, filterable by status on the hosted server | | Library | `delete_video` | Deletes a video and all its clips. Irreversible | | Social | `list_social_accounts` | Connected accounts and the IDs scheduling needs | | Social | `schedule_post` | Posts now or at a set time, with caption and hashtags | | Social | `list_scheduled_posts` | Pending, posted, failed and cancelled posts | | Social | `update_scheduled_post` | Edits caption, hashtags or time on a pending post | | Social | `cancel_scheduled_post` | Cancels a post that has not gone out | Source: `scalereach-mcp/src/tools` and `scalereach-mcp-remote/src/mcp-app.ts`, read 2026-10-08. ## What does a clipping request actually do? You say something like "Clip this video and focus on the business advice, hormozi captions: https://youtube.com/watch?v=..." and the agent chains tools. I am describing the calls from the source, not a recorded session. 1. `validate_youtube_url` confirms the video exists and shows you its length. 2. `submit_youtube_video` sends the link. The tool description tells the model to ask you only three things: caption style, a custom prompt, and whether you want AI thumbnails (Pro and Agency plans only). Genre, aspect ratio (9:16), clip length (15 to 90 seconds) and language auto-detect all use defaults. 3. The backend deducts minutes from the workspace at submit time, one per started minute of the selected range. A 62-minute podcast costs 62 minutes whether or not you keep every clip, unless the job fails, in which case the minutes are refunded. 4. The agent polls `get_video_status` until it reports `completed`. The server does not push updates, so the agent has to ask. Across our pipeline the median time from start to clips ready was 140 to 330 seconds depending on source length (measured 27 July 2026). 5. `get_video_clips` returns the clips sorted however the agent chooses. Each carries a 0 to 100 virality score and a written reason. Treat the score as a sort key, as we explained in [how accurate the Opus Clip virality score is](/blog/how-accurate-is-the-opus-clip-virality-score/), because ours bunches near the top in the same way. 6. `get_clip_download` or `schedule_post` finishes the job. Our docs show a longer example in which Claude asks about genre, aspect ratio and clip length. That example predates the current tool description, which tells the model not to ask about those. Which questions you actually get depends on the model and the client. ## What can't it do yet? - **YouTube links only.** The tools are named for YouTube and validate YouTube URLs. The dashboard also accepts Twitch and Kick, so for a stream VOD use the app, as in [our Twitch to TikTok workflow](/blog/turn-twitch-stream-into-tiktok-clips/). - **No editing.** No trim, caption fix, filler-word removal or reframe after the fact. To change a clip's settings you re-run it, which costs minutes again. - **No export to an editor.** Downloads are the rendered MP4. If you need a Premiere or DaVinci project file, read [which AI clip makers export to Premiere Pro and DaVinci](/blog/ai-clip-maker-export-to-premiere-pro-davinci/). - **Videos under 3 minutes are rejected,** and the maximum is 4 hours. - **The hosted server cannot set a timeframe, topic keywords or split-screen.** The npm package can, and a timeframe reduces the minutes charged. If you clip long podcasts through the hosted URL, you pay for the whole video. - **No TikTok post has published yet.** Of 6 TikTok posts scheduled, 0 published. YouTube published 105 of 116 and Instagram 45 of 55 (queried 2026-10-08). Our TikTok app has not passed TikTok's audit, and unaudited apps can only post to private accounts. The tool will still accept a TikTok account, so check the status afterwards with `list_scheduled_posts`. The reasons are in [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). - **No dubbing or translation tools,** although the app has them. ## Is it safe to put an API key in the connector URL? It is a trade-off, and you should know its shape before you paste a key into a chat app. - **The URL is the credential.** Anyone who sees the connector URL can act as the person who created the key, inside that one workspace. - **There are no scopes.** The database has a `scopes` column that defaults to everything, but the create-key request does not accept scopes and nothing checks them. A key that only needs to list videos can still call `delete_video` and `schedule_post` with `postType: "immediate"`. - **Keys rarely expire.** The form defaults to Never. Of the 14 keys in our production database, none has an expiry set (queried 2026-10-08). - **Rate limit:** the clip routes allow 200 requests per minute per key. - **Team plans share the key.** Anthropic's own guidance says a connector that uses a shared credential such as an API key gives everyone who uses it that credential's access. What to do about it: create one key per app, name it for the machine, set 30 or 90 days, revoke it from the same Settings page when you stop using it, and prefer the Bearer header where your client supports it. The honest fix on our side is OAuth, which is also what blocks us from the Claude connectors directory. ## How does it compare with Opus Clip, Reap and Submagic? All four now ship an MCP server. The differences that matter are sign-in, breadth and what the agent can touch after the clip exists. | | ScaleReach | Opus Clip | Reap | Submagic | |---|---|---|---|---| | Sign-in | API key in URL or Bearer header | OAuth, no key for MCP | API key | API key as a Bearer header | | Tools | 14 hosted, 15 npm | 27 per its FAQ (its page metadata says 25) | 10 listed (a stat on the page says 8) | Not checked | | Editing after clipping | No | Yes: trims, caption fixes, retiming | Captions, dubbing, translation, reframe | Not checked | | Export | MP4 download | HD, 4K or Premiere XML | MP4, WebM, 720p to 4K | Not checked | | Scheduling | Yes | Yes | Yes | Not checked | | Free access | Depends on your plan and minutes | Free trial, then metered per render minute | Free plan with 1 hour of processing | Not checked | Sources: [opus.pro/mcp](https://www.opus.pro/mcp), [reap.video/mcp](https://reap.video/mcp) and [docs.submagic.co/mcp-server](https://docs.submagic.co/mcp-server), read 2026-10-08. Vendors disagree with themselves on tool counts, so treat those figures as claims. Opus Clip is ahead on what an agent can do after the clips exist, and it removes the key handling entirely with OAuth. Reap covers dubbing and translation, which ours does not expose (more in our [Reap review](/blog/reap-video-review/)). Where ScaleReach is competitive is the price of the minutes the agent spends, which is why the [per-source-minute comparison of Opus Clip alternatives](/blog/best-opus-clip-alternatives/) is the page to read before choosing. Check the [pricing page](/pricing/) for current plans. ## Does anyone actually use it? Not many people yet, and I would rather say so. We have 14 API keys, created across 7 workspaces by 6 people since 3 April 2026. 10 have ever been used and 2 were used in the last 30 days (queried 2026-10-08). The database cannot tell MCP calls from direct REST calls, so those numbers include both. Two key names look like AI-client keys. The honest read is that this is a niche entry point today, which is also why it has rough edges like the tool-count mismatch above. ## FAQ ### What is the ScaleReach MCP server? It is a Model Context Protocol server that lets AI apps such as Claude, Cursor and Kiro clip YouTube videos and schedule the clips to social accounts through ScaleReach. You give it a workspace API key, then ask in plain English. The hosted version at mcp.scalereach.ai has 14 tools and the npm package scalereach-mcp has 15. ### Which AI apps work with the ScaleReach MCP server? Claude.ai works as a custom connector, and one command configures Claude Desktop, Cursor, Windsurf and Kiro automatically. Any other MCP client can use the manual JSON config or the hosted URL. The docs list guides for 17 tools including ChatGPT, VS Code, n8n and Zapier. I tested none of them live for this post, so follow the docs for your client. ### Do I need an API key to use ScaleReach with Claude? Yes. A workspace owner or admin creates it under Settings, API Keys. It starts with `sr_live_`, belongs to one workspace and is shown once. The key controller has no plan check, but our docs say you need an account with an active plan, and I did not test creating one on the Free plan. ### Does clipping through MCP cost extra minutes? It uses the same minutes as the dashboard. The submit call goes to the same upload endpoint, which deducts one minute per started minute of the selected range from the workspace balance. There is no separate MCP fee in the code I read. The hosted server cannot select a timeframe, so it charges for the full video. ### Can Claude post to TikTok through ScaleReach? The schedule_post tool accepts a TikTok account, but none of the 6 TikTok posts scheduled so far has published, while YouTube published 105 of 116 and Instagram 45 of 55 (queried 2026-10-08). Schedule TikTok through the tool only if you will check the result with list_scheduled_posts. ### How is the ScaleReach MCP server different from Opus Clip's? Opus Clip signs you in with OAuth and exposes about 25 to 27 tools, including editing and export to Premiere. ScaleReach uses an API key and exposes 14 or 15 tools focused on clipping and scheduling. If you want an agent that edits clips after detection, use Opus Clip's. If you want a simpler clip-and-schedule loop, ScaleReach's is enough. ## The bottom line The ScaleReach MCP server does one loop well: validate a YouTube link, clip it, read the scored moments, download or schedule them. The npm package is MIT-licensed, the hosted URL needs no install, and the minutes work exactly as they do in the dashboard. It is also early. There is no OAuth, no read-only key, no editing, no Twitch support and a hosted server that lags the npm package by a tool and three submit options. If you try it, use a dedicated key with an expiry, clip a video you can afford to lose minutes on, and confirm any TikTok post by hand. If you find a number here that looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. Tool lists read from source on 2026-10-08. Competitor MCP facts read from vendor pages on 2026-10-08. Post and key counts queried from the production database on 2026-10-08. Pipeline timings are from the measurement of 27 July 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether the hosted server gains `configure_video` and timeframe options; whether ScaleReach adds OAuth or read-only keys; whether TikTok publishing completes; Opus Clip, Reap and Submagic tool counts. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker with an [MCP server](/mcp/) for Claude and other AI apps. Opus Clip, Reap and Submagic are competitors and there is no affiliate relationship. Competitor facts here come from pages those vendors control, linked and dated, and ScaleReach figures come from our own source code and database.* --- # Reap Review (2026): Pricing, Free Plan and Limits URL: https://www.scalereach.ai/blog/reap-video-review Published: 2026-10-08 · Author: Hevin K Tags: Reap, Review, AI Clip Maker, Pricing Reap is an AI video tool that cuts long videos into short clips and also captions, dubs, reframes and publishes them. Its free plan gives you 1 hour of clipping a month, and its paid plans start at $9.99 a month on annual billing for 10 hours. That works out to about $0.017 per minute of source video, which is cheaper than our Starter and Pro plans. Only our 5,000-minute Agency plan undercuts it. Disclosure: I run ScaleReach, which publishes this review and competes with Reap. I did not pay for a Reap plan, and I did not run my own videos through it for this post. There is no affiliate relationship. Everything below comes from Reap's own pricing and feature pages, read on 8 October 2026, plus its public G2 and Trustpilot pages. Where Reap beats us, I say so. ## The 60-second verdict > **Choose Reap if** you want the lowest price per source minute at solo volume, a free plan that renews every month, dubbing and translation in the same tool, or API and MCP access included from the first paid plan. > > **Look elsewhere if** you need an exact monthly price you can check (Reap's page is unclear on it), a proven track record of public reviews (there are few), or a tool whose publishing to TikTok you have confirmed yourself. > > **Check first:** the pricing page says hours reset monthly and also says credits expire in 13 months. I could not reconcile the two. > > **Bottom line:** on paper, Reap is the cheapest option at solo and small-team volume and the most complete on languages. Test one real video on the free plan before you trust the numbers. ## What is Reap? Reap is a web app at reap.video that turns long videos into short clips with animated captions, speaker reframing and platform formatting. Per its [clipping page](https://reap.video/clipping), it: - Takes a YouTube link or an upload, and imports from YouTube, Twitch, X and Vimeo. - Finds moments using faces, vocal tone, pacing and topic, and lets you steer it with a text prompt ("find every product mention"). - Adds animated captions in 100+ languages, including Hinglish, Romanized Urdu and Arabizi. - Dubs into 80+ languages and translates subtitles into 100+. - Publishes to TikTok, Instagram Reels, YouTube Shorts, LinkedIn and Facebook, with a content calendar. - Exposes a REST API, a CLI and an [MCP server](/blog/clip-youtube-videos-with-claude-mcp/). ## How much does Reap cost in 2026? | Plan | Annual billing | Clipping hours / month | Export | Seats | |---|---|---|---|---| | Free | $0 | 1 hr, watermarked | 720p, 9:16 only | 1 | | Creator | $9.99/month ($119.88 a year) | 10 hrs | 1080p, no watermark | 1 | | Studio | $29/month ($348 a year) | 20 hrs | 4K, no watermark | Up to 3 | | Enterprise | Custom | Custom | 4K | Unlimited | Source: [reap.video/pricing](https://reap.video/pricing) (verified 2026-10-08). Hours are hours of source video, counted by the length of what you upload, not by how many clips come out. Two things about these prices are worth knowing before you plan around them: - **The monthly price is not labelled.** The page defaults to annual billing, and each paid card shows a struck-through figure beside the real one: $24 next to Creator's $9.99, and $50 next to Studio's $29. I read those as the month-to-month prices, but the page never says so, and its FAQ only says monthly billing "is available at a higher rate". I have not published a monthly price as fact. - **Hours and credits disagree.** Each paid card says clipping is "up to 10 hours/month" (Creator) or 20 (Studio). The same card says credits "expire in 13 months" and that you can "purchase more once you run out". That reads like a credit balance, not a monthly reset. Ask Reap support which it is before you buy a year. ### Is Reap free? Yes, and the free plan renews. The page calls it "free forever" and gives 1 hour of AI clipping and captioning a month, 720p exports with a watermark, basic caption styles and 9:16 only. Projects expire after 7 days. Our own free offer is a one-time trial of free minutes rather than a monthly allowance, so for someone who clips one or two videos a month and wants to pay nothing, Reap's is the better deal. ## How does Reap compare on cost per source minute? Source minutes are the fairest unit, because every tool here charges by how much video you feed in. Prices below are annual billing, converted at 60 minutes an hour. | Plan | Annual price / month | Source minutes / month | Cost per source minute | |---|---|---|---| | Reap Creator | $9.99 | 600 | about $0.017 | | Reap Studio | $29 | 1,200 | about $0.024 | | ScaleReach Pro | $12.50 | 400 | about $0.031 | | ScaleReach Starter | $10 | 200 | about $0.05 | | ScaleReach Agency | $49 | 5,000 | about $0.010 | Reap rows from [reap.video/pricing](https://reap.video/pricing); ScaleReach rows from our [pricing page](/pricing/), both verified 2026-10-08. Reap's "up to" hours are a ceiling. For a wider table, see our [cost per source minute comparison of Opus Clip alternatives](/blog/best-opus-clip-alternatives/). Reap wins at both low and mid volume: Creator gives you three times the minutes of our Starter for the same money. Our Agency plan is the one place we are cheaper, but only if you actually clip about 5,000 minutes a month. ## How good is Reap's clipping? I have not measured this, so here is what Reap claims and what I could not check. - **Selection.** It describes "multi-signal" analysis of faces, tone, pauses and pacing, with genre-specific models for talking head, presentation and gaming content. Its FAQ says it works best on spoken-word content such as podcasts, interviews, webinars and lectures. That matches every other tool in this category. - **Prompt-first clipping.** You can ask for topics or intent. This is a real strength for pulling specific segments, and it is on all plans including free. - **Virality score.** Every clip gets one. Reap's marketing image shows scores such as 7.5, 8.2 and 9 out of 10, so its scale is out of 10 rather than 100. Like every score of this kind, treat it as a sort key. We explain why in [how accurate the Opus Clip virality score is](/blog/how-accurate-is-the-opus-clip-virality-score/). - **Clip length.** Four buckets: under 30 seconds, 30 to 60, 60 to 90, and 90 seconds to 3 minutes. - **Speed.** Reap says a 60-minute video takes about 5 to 10 minutes, with faster processing on Creator and priority on Studio. We measured a median of 330 seconds for sources over 30 minutes on 27 July 2026, which is the same range. ## What about captions, dubbing and translation? This is where Reap's pages claim the most. Captions run in 100+ languages with 50+ animated styles on paid plans, and romanized scripts like Hinglish are a stated feature. It's one of three clip tools we found that say so, compared in [our guide to Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/). Subtitle translation covers 100+ languages and dubbing 80+, at 2 hours a month on Creator and 5 on Studio. Two cautions. The clipping page labels AI dubbing "Early Access", and the pricing table says voice cloning is "coming soon" on Studio while the clipping page says the AI "clones your voice". Those cannot both describe the same feature today. For how dubbing compares across tools, see our [roundup of natural-sounding AI dubbing for Shorts](/blog/ai-dubbing-for-shorts-natural-sounding-tools/). ## Can Reap edit and publish clips? Yes to both, with some features still marked unfinished. - **Editing.** A transcript-based editor, multi-layer timeline, AI B-roll, text overlays, brand templates, intro and outro cards. The pricing table marks AI filler-word removal, background noise removal and sticker templates as "coming soon" on every paid plan. - **Aspect ratios.** Free is 9:16 only. Paid plans add 16:9, 1:1 and 4:5. - **Publishing.** Creator publishes to TikTok, Reels, Shorts and LinkedIn. Studio adds X and Facebook. I did not test any of it. TikTok restricts posts from apps that have not passed its audit to private accounts, which applies to every tool in this category, and I explain the rule in [which clip tools auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). Ask Reap whether its TikTok posts land public before you rely on it. ## What do real users say about Reap? There is not much public feedback, so be careful with any rating. | Source | Rating | Sample | |---|---|---| | G2 | 5.0 out of 5 | 11 reviews, all five-star | | Trustpilot | 3.8 out of 5 | 2 reviews, both five-star, none in the last 12 months | Sources: [G2](https://www.g2.com/products/reap-reap/reviews) and [Trustpilot](https://www.trustpilot.com/review/www.reap.video), read 2026-10-08. Trustpilot notes that Reap has no recent history of asking for reviews. Eleven reviews are too few to read as a score. The useful part is the "what do you dislike" answers on G2, which repeat the same themes: the clip review screen gets hard to manage when a batch is large, project organization is weak when you juggle several podcasts or campaigns, some button labels are confusing (one reviewer says "edit" should read "save"), and the editor needs polish. One older review says scene detection needed manual fixes and has since improved. None of these is disqualifying, but if you clip dozens of videos a week, clip management is the thing to test. ## How does Reap's API and MCP server work? Reap includes REST API, CLI and MCP access on every paid plan, which is a real advantage. Its [MCP page](https://reap.video/mcp) says you need an API key, the free plan includes 1 hour of processing, and the hosted endpoint is `mcp.reap.video/mcp`. The page lists 10 tools but a stat on the same page says 8. Our [MCP comparison](/blog/clip-youtube-videos-with-claude-mcp/) puts Reap next to Opus Clip, Submagic and ScaleReach. ## Reap vs ScaleReach: which should you pick? | | Reap | ScaleReach | |---|---|---| | Cheapest paid plan | $9.99/month annual, 10 hrs | $10/month annual, 200 min | | Free option | 1 hr/month, renews | One-time free trial minutes | | Highest export | 4K (Studio) | 1080p | | Dubbing and translation | Yes, early access | Yes | | Gameplay split-screen backgrounds | Not listed on its pricing page | Yes, a library of 27 loops | | Public reviews | 11 on G2, 2 on Trustpilot | Few | ScaleReach figures from our [pricing page](/pricing/) and product, verified 2026-10-08. Reap figures from its pricing and clipping pages. Pick Reap if price per minute, languages or export resolution decide it. Pick ScaleReach if you want gameplay split-screen clips, or you run an agency at a volume where the 5,000-minute plan is the cheapest option. For a wider field, see our [ranking of the best AI video clipping tools](/blog/best-ai-video-clipping-tools/). ## FAQ ### Is Reap free? Yes. Reap's free plan renews every month and includes 1 hour of AI clipping and captioning, 720p watermarked exports, basic caption styles and 9:16 output only. Projects expire after 7 days. Paid plans start at $9.99 a month on annual billing. The page calls the free plan "free forever", so unlike a one-time trial, the hour resets each month. ### How much does Reap cost? Reap Creator is $9.99 a month billed annually ($119.88 a year) for up to 10 hours of clipping, and Studio is $29 a month billed annually ($348 a year) for up to 20 hours. Monthly billing costs more, but Reap's page does not label that price clearly, so check it at checkout. Enterprise pricing is custom. ### Is Reap better than Opus Clip? On price per source minute, yes: Reap Creator is about $0.017 a minute, while Opus Clip's entry tier is roughly $0.10 in our [cost comparison](/blog/best-opus-clip-alternatives/). Opus Clip has far more public reviews and a larger MCP toolset with OAuth sign-in. Reap has dubbing and 100+ caption languages. I have not compared their clip quality on the same video. ### Does Reap have an API? Yes. Reap offers a REST API, a CLI and an MCP server, and its pricing page says API access is included on Creator and Studio. Its MCP server needs an API key rather than OAuth sign-in. Check the [API page](https://reap.video/api) for current limits. ### Does Reap post to TikTok? Reap lists TikTok, Reels, Shorts and LinkedIn publishing on Creator, and X and Facebook on Studio. I did not test publishing. TikTok limits posts from unaudited apps to private accounts, so confirm with Reap whether its TikTok posts go public before you queue a month of clips. ### Are Reap's reviews trustworthy? Treat them as thin. G2 shows 5.0 from 11 reviews and Trustpilot shows 3.8 from 2, with none in the last 12 months. Samples that small can be moved by a single review. The written complaints are more informative than the stars: clip management at large batch sizes, project organization and some confusing labels. ## The bottom line At solo and small-team volume, Reap is the cheapest clipper I have priced, and it covers languages and dubbing that most tools skip. Its free plan renews, its paid plans include API and MCP access, and the biggest plan gets you 4K. The unknowns are the ones a pricing page cannot answer: whether the hours reset monthly or behave like a 13-month credit balance, whether TikTok posts go public, and how clip quality holds up on your own footage. Test one video on the free plan, read the credit terms at checkout, and compare against the [alternatives ranked by cost per source minute](/blog/best-opus-clip-alternatives/). If a number here looks wrong, tell us at hevin@scalereach.ai. --- ## Changelog **October 2026 update.** First published. Reap pricing, features and MCP page read from reap.video on 2026-10-08. G2 and Trustpilot ratings read on the same date. ScaleReach figures from our pricing page on the same date. This review is sourced, not hands-on. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether Reap labels its monthly price and explains hours versus credits; whether dubbing leaves early access and voice cloning ships; whether TikTok posting is confirmed public; G2 and Trustpilot review counts. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker. Reap is a competitor and there is no affiliate relationship. Every Reap fact here comes from pages Reap controls or public review sites, linked and dated, and I did not run my own videos through it.* --- # Which AI Clip Makers Export to Premiere Pro? (2026) URL: https://www.scalereach.ai/blog/ai-clip-maker-export-to-premiere-pro-davinci Published: 2026-10-06 · Author: Hevin K Tags: AI Clip Maker, Video Editing, Workflow, Comparison "Exports to Premiere Pro" means two different things on AI clip maker pricing pages. Some tools hand you a project file (an XML timeline) that opens in Premiere Pro or DaVinci Resolve with every cut still editable. Most hand you a finished MP4, which any editor can import but nobody can re-cut. Of the six tools we checked on 6 October 2026, **two document an XML or timeline export (Opus Clip and Descript) and four don't list one**. ScaleReach is in the second group. Disclosure: ScaleReach publishes this post, and we don't export XML, so weigh the bias in both directions. Every competitor fact below was read off that vendor's own pricing page, help centre or blog on 6 October 2026 and is linked. Every ScaleReach fact comes from our own source code or a read-only query of our production database on the same day. We don't pay for any competitor's plan, and there are no affiliate links. ## The short answer > **Need to re-cut the AI's edit in your editor?** Pick a tool with XML export. On Opus Clip that's the Pro plan and up. Descript exports a full timeline on Creator and up. > > **Only adding music, a logo or your own captions?** A clean MP4 is enough. Turn the AI's captions off before the clips render, then import the MP4 like any other footage. > > **Shopping for 4K?** YouTube caps Shorts uploads at 1080p. A 4K vertical clip gets nothing extra on Shorts. > > **Bottom line:** decide whether you'll re-cut or just finish. That decides whether XML matters to you at all. ## What does "export to Premiere Pro" actually mean? There are three kinds of export, and they're easy to mix up. | Export type | What you get | Can you change the cut in your editor? | Typical file | |---|---|---|---| | Rendered video | One finished clip, with crop and any captions baked in | No. Only trim it shorter | `.mp4` or `.mov` | | Caption file | Words with timestamps, no video | Not applicable. Restyle the captions in your editor | `.srt`, `.vtt` | | Project file (timeline) | The cut points, crop and captions as editable layers, pointing at the source footage | Yes. Extend, move or re-crop any cut | `.xml`, `.fcpxml` | A rendered MP4 is final. If the AI ended a clip two seconds early, an MP4 can't give those two seconds back, because they aren't in the file. A project file points at the original footage, so you can drag the edit back out. That's the only thing XML gives you that an MP4 doesn't, and it's the right question to ask before paying for it. ## Which AI clip makers export XML to Premiere Pro or DaVinci Resolve? | Tool | Project file export | Editors named by the vendor | Plan | Max video export listed | |---|---|---|---|---| | Opus Clip | Yes, XML | Premiere Pro, DaVinci Resolve. Final Cut with "slight variations" | Pro and Business | Free up to 1080p, paid "highest resolution available" | | Descript | Yes, timeline export | Premiere (XML), DaVinci Resolve (XML), Final Cut Pro (FCPXML), plus EDL and AAF for audio apps | Creator, Business, Enterprise | Not checked | | Klap | Not listed on pricing page | None | Not applicable | Not stated on pricing page | | Vizard | Not listed on pricing page | None | Not applicable | 720p on Free, 4K on paid plans | | Submagic | Not listed on pricing page | None | Not applicable | 1080p, 2K or 4K depending on plan | | ScaleReach | No | None. MP4 plus SRT, VTT or TXT transcript | Not applicable | 720p on Free, 1080p on paid plans | Sources, all read 6 October 2026: [opus.pro/pricing](https://www.opus.pro/pricing) and Opus Clip's help pages for [Premiere](https://help.opus.pro/docs/article/import-to-adobe-premiere) and [DaVinci Resolve](https://help.opus.pro/docs/article/import-to-davinci-resolve); [Descript timeline exports](https://help.descript.com/export-and-share/timeline-exports); [klap.app/pricing](https://klap.app/pricing); [vizard.ai/pricing](https://vizard.ai/pricing); [submagic.co/pricing](https://www.submagic.co/pricing). "Not listed" means exactly that. Klap, Vizard and Submagic may have an export path we didn't find, but neither puts one on its pricing page, and that's where buyers look. A few details worth knowing from the vendors' own pages: - **Opus Clip's XML download is a folder**, not one file. Opus says it holds the XML, an SRT, the original video segments and tutorials. Its help page asks you to finish caption edits inside Opus Clip and save them before exporting. On Free and Starter, the pricing table shows a dash for Premiere and DaVinci export. - **Descript's export differs by editor.** Its help page has a feature chart: captions come through to Final Cut Pro and DaVinci Resolve but not to Premiere Pro. Timeline exports also don't support Descript's Sequences or Avatars yet. - **Watch for borrowed claims about Klap.** Klap's own blog has a line about exporting "the project file for Premiere Pro or DaVinci Resolve", but it sits under the section on using Opus Clip, not Klap. Klap's pricing page says nothing about export, and our [Klap review](/blog/klap-review-for-short-form-teams/) found rendered MP4 only. Opus Clip and Descript both do something here that we don't. If your workflow is "AI finds the moments, an editor finishes the cut", they're the stronger fit. ## Do you actually need XML export? Most people who ask for it don't. Ask what you'll do once the clip is in your editor. | What you'll do in Premiere or Resolve | Needs XML? | Why | |---|---|---| | Add music, a logo, an outro card | No | You're adding layers on top. An MP4 is fine | | Replace the captions with your own style | No | Export the clip without captions, then caption it in your editor | | Colour-grade to match your channel | Mostly no | You can grade an MP4. A timeline gives you the original footage, which grades better | | Start the clip earlier or end it later | Yes | An MP4 doesn't contain the footage outside the cut | | Re-crop the vertical frame | Yes | An MP4 has the crop baked in | | Hand the AI's picks to a human editor to finish | Yes | That's what XML is for | If everything you'd do is in the top three rows, don't pay a plan upgrade for XML. If you're in the bottom three, it's the feature that matters most and the tool's price comes second. ## How do you get a clean ScaleReach clip into Premiere Pro or DaVinci Resolve? Without XML, the clean way is to render clips with nothing baked in except the crop, and bring your own captions. It takes about two minutes more than the default. 1. Paste your YouTube link or upload your file, as usual. 2. On the configure screen, switch **Captions** off. This has to happen before the clips render. It's a setting for the whole job, not for one clip. 3. Generate the clips. Each one is a face-tracked vertical MP4 (H.264 video, AAC audio at 192 kbps) with no caption layer. 4. Download the clips you want. The file is named after the clip's title. 5. If you want the words too, open the video's menu in your library and pick **Download Transcript**. You get SRT, VTT, TXT or JSON. 6. Import the MP4 into Premiere Pro, DaVinci Resolve or Final Cut, then add captions with your editor's own tools. One catch with step 5: that transcript covers the **whole source video**, so its timestamps start at the beginning of the original upload, not at the start of your clip. It's useful for copy, show notes and finding quotes. It won't line up on a clip's timeline without shifting it. Our [transcript download tool](/tools/video-transcript-download/) explains the formats. We have a per-clip caption endpoint in the API, but it isn't in the app yet, so we're not telling you to use it. Few of our users do this. Of 2,009 clip jobs ever configured on ScaleReach, **71 had captions switched off (3.5%)**. In the last 60 days it was 24 of 765 (3.1%). Almost everyone posts the clip as rendered. ## Does 4K export matter for TikTok, Reels and Shorts? Not for Shorts. YouTube's own Shorts help page says: "You can upload Short videos with a maximum resolution of 1080p" ([support.google.com](https://support.google.com/youtube/answer/10059070), read 6 October 2026). A 4K vertical clip is downscaled on upload. 4K helps in two narrower cases. If you'll crop further in your editor, extra pixels leave room. And if you're posting a horizontal clip to regular YouTube, 4K is supported there. For a vertical clip headed to Shorts, 1080×1920 is already the ceiling. What ScaleReach renders, from our code: | Plan | Vertical 9:16 | Square 1:1 | Horizontal 16:9 | |---|---|---|---| | Free | 720×1280, watermarked | 720×720 | 1280×720 | | Starter, Pro, Agency | 1080×1920 | 1080×1080 | 1920×1080 | Pro and Agency render at a higher quality setting than Starter (a lower compression level), but at the same 1080 pixels. **Some older ScaleReach pages, and an export panel in our app, still say 4K. That's wrong.** Our renderer tops out at 1080p on every paid plan, so treat 1080p as the real figure. Vizard and Submagic list 4K on their paid plans, so if you need 4K, for example for horizontal YouTube uploads, they're the better pick. Vertical is where nearly all of this ends up anyway. Of 4,785 clips currently stored on ScaleReach, 4,675 are 9:16 (97.7%), 56 are 16:9 and 54 are square. To understand how the vertical crop is chosen, see [how we convert landscape video to vertical](/blog/convert-landscape-video-to-vertical/). ## What are ScaleReach's export limits? - **No XML, FCPXML or EDL.** You can't re-open our cut in your editor. - **Captions are all or nothing per job.** You choose before rendering, not per clip. - **The transcript download is for the whole video**, with source timestamps. - **1080p maximum**, 720p on Free. - **Clips are deleted after a retention window**: 15 days on Free, 180 days on paid plans. Download anything you plan to edit later. If your editing happens mostly in Premiere Pro or DaVinci Resolve, compare us with [Opus Clip side by side](/alternatives/opus-clip/) and our [Descript review](/blog/descript-review-for-short-form-teams/) before you decide. ## FAQ ### Can Opus Clip export to Premiere Pro? Yes, on the Pro and Business plans. Opus Clip's pricing page lists "Export to Adobe Premiere Pro & DaVinci Resolve" for Pro and Business and shows a dash for Free and Starter. The download is a folder with an XML file, an SRT and the original video segments. Opus says the XML also opens in other editors, including Final Cut Pro, with "slight variations" in how each editor reads it. ### Which AI clip maker exports to DaVinci Resolve? Opus Clip (Pro and Business) and Descript (Creator and up) both document DaVinci Resolve export on their own help and pricing pages. Klap, Vizard, Submagic and ScaleReach don't list one. Every AI clip maker's MP4 also imports into Resolve as ordinary footage. You just can't change the cut. ### Does ScaleReach export XML to Premiere Pro? No. ScaleReach exports finished MP4 clips and a full-video transcript as SRT, VTT, TXT or JSON. To edit our clips in Premiere Pro, switch Captions off before generating, download the MP4s and caption them in Premiere. If you need to re-cut the AI's edit points, a tool with XML export is the better fit. ### How do I get AI clips without burned-in captions? Turn captions off before the clips are generated. On ScaleReach that's the Captions switch on the configure screen, and it applies to every clip in the job. You can't strip captions out of an MP4 that already has them burned in, because the text is part of the picture. ### Is 4K export worth paying for on vertical clips? Usually not. YouTube's help page says Shorts can be uploaded at a maximum of 1080p, so a 4K vertical clip gains nothing there. 4K is useful if you plan to crop further in your editor, or for horizontal clips going to regular YouTube. ScaleReach renders at 1080p on paid plans, not 4K. ### Can I edit AI-generated clips in CapCut or Final Cut Pro? Yes, as MP4 files. Every tool in this comparison exports MP4, and CapCut, Final Cut Pro, Premiere Pro and DaVinci Resolve all import it. Only Descript documents a Final Cut timeline (FCPXML). Opus Clip's XML may open in Final Cut, but Opus itself warns that results vary by editor. ## The bottom line XML export matters if you'll re-cut what the AI picked. That's real for teams with an editor who finishes every clip, and Opus Clip (Pro) and Descript (Creator) are built for it. For everyone else, a clean MP4 with captions off covers music, branding and your own caption style, and every tool here does that. Ignore 4K for Shorts. YouTube caps Shorts at 1080p. And check the export plan before you pay. Opus Clip gates XML to Pro, and Descript to Creator. --- ## Changelog **October 2026.** First published. Competitor export features and resolution limits read from each vendor's pricing page, help centre or blog on 6 October 2026. ScaleReach figures from our source code and a read-only production query on the same day. If a figure here looks wrong, tell us at hevin@scalereach.ai. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 --- # AI Clipping for Agencies: How to Run Multiple Clients (2026) URL: https://www.scalereach.ai/blog/ai-clipping-for-agencies-multiple-clients Published: 2026-10-05 · Author: Hevin K Tags: AI Clip Maker, Workflow, Pricing, Content Repurposing The first decision an agency makes about AI clipping isn't which tool. It's what unit you buy: one shared account that holds every client, or one account per client. That choice decides where your minutes live, who can see which client's footage, and who can post to which client's channels. Our own data shows the shape agencies actually use: the one Agency workspace on ScaleReach today has clipped **108 videos from 36 different YouTube channels**, all from a single login. Disclosure: ScaleReach publishes this post and sells an Agency plan, so weigh the bias. Every ScaleReach figure below comes from a read-only query of our production database on 5 October 2026, or from our own source code on the same day. Competitor facts were read off each vendor's own pricing page the same day. We don't pay for any competitor's plan here, and there are no affiliate links. ## The short answer > **Pool if you're small.** One workspace with every client in it shares one minute bank and one set of logins. Give each client their own brand template and their own connected social accounts. > > **Split if clients must not see each other.** One workspace per client keeps footage, accounts and members separate. On most tools, ScaleReach included, that means each one is billed separately. > > **Check three things on any pricing page:** whether minutes are shared across workspaces, whether seats cost extra, and how many brand kits you get. > > **Bottom line:** most small agencies should pool. Split only the clients whose contracts or access rules require it. ## Should an agency use one shared workspace or one per client? Both work. They trade cost against separation. | | One shared workspace | One workspace per client | |---|---|---| | Minutes | One pool for every client | Each workspace has its own balance | | Billing | One subscription | One subscription per paid workspace | | Who sees what | Every member sees every client's videos and clips | Members only see the clients they're invited to | | Social accounts | All client accounts connected in one place | Each client's accounts live in its own workspace | | Branding | One brand template per client, picked per job | Each workspace has its own templates | | Best for | A small team where everyone works on every client | Clients with strict access rules, or freelancers who need their own view | The deciding question is usually access, not price. If a contractor working on client A shouldn't see client B's unreleased footage, they need to be in separate workspaces. If your whole team touches every client anyway, a shared workspace is cheaper and simpler. If a client contract restricts third-party AI providers, check each tool's subprocessor list as well; we did that for Opus Clip in [our privacy and data retention check](/blog/opus-clip-privacy-and-data-retention/). ## How does ScaleReach handle multiple clients? A workspace is the unit everything belongs to: the plan, the minutes, the members, the brand templates and the connected social accounts. Here is what that means on the Agency plan, read from our code: - **Minutes are per workspace.** The Agency plan's 5,000 minutes a month belong to the workspace you subscribed. They aren't shared with your other workspaces. - **Up to 10 workspaces and 10 members.** The app lets an Agency owner create up to 10 workspaces and invite up to 10 members. But a new workspace starts on the Free plan with 0 minutes. To clip in it, it needs its own paid plan. So for a pooled setup, keep your clients inside the Agency workspace. - **Unlimited brand templates.** Each template saves a caption style, a logo overlay and an aspect ratio. Make one per client and pick it when you set up each clip job. - **Unlimited social accounts.** Agency has no cap on connected accounts, and you can connect more than one account on the same platform, for example two clients' YouTube channels. - **Three roles, no per-client permissions.** Owners and admins manage members, workspace settings and brand templates. Only the owner can delete the workspace. Every member can upload, clip, connect social accounts and post to any account connected in that workspace. There's no way to limit a member to one client inside a shared workspace. - **Client review without a login.** Each video can get a share link. The client opens it, watches the clips and downloads the ones they want. You can revoke the link at any time, and it records views and downloads. It has no password, so treat the link itself as the key. ![ScaleReach Brand Templates page showing one saved template named ww with a 9:16 preview, captions reading your content goes viral, and a New Template button](/blog/agency-brand-templates.webp "Brand templates save a caption style, logo and aspect ratio. An agency makes one per client. ScaleReach, 5 October 2026.") Two publishing limits apply to every client. TikTok posts from our scheduler can't go public yet, because our TikTok app hasn't passed TikTok's audit. X/Twitter posting isn't available. YouTube Shorts and Instagram Reels publish normally. The details are in [which clip tools actually auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). ## How many client channels does 5,000 minutes cover? Minutes are charged on the source video you process, so the math is hours of footage per month: | Workload per month | Minutes used | Share of 5,000 | |---|---|---| | 5 clients × 4 one-hour episodes | 1,200 | 24% | | 10 clients × 4 one-hour episodes | 2,400 | 48% | | 10 clients × 8 one-hour episodes | 4,800 | 96% | | 20 clients × 4 one-hour episodes | 4,800 | 96% | On annual billing, Agency is $49 a month for 60,000 minutes a year, about $0.0098 per source minute. On monthly billing it's $99 a month for 5,000, about $0.0198. For comparison, Pro is 400 minutes a month, enough for roughly six hour-long episodes. Current prices are on the [pricing page](/pricing/), and [what it costs to clip 10 hours of podcast a month](/blog/cost-to-clip-10-hours-of-podcast-per-month/) runs the same math across seven tools. A single upload can be up to 3 hours long on Agency, and up to 4 GB as a file. Clips per hour of footage vary with how much is said; [how many clips one hour of video gives you](/blog/how-many-clips-from-a-one-hour-podcast/) has the figures. ## What do other clip tools offer agencies? Here's what each vendor's own pricing page says about teams, read on 5 October 2026. Prices are left out on purpose: they're compared in [our ranked list of Opus Clip alternatives](/blog/best-opus-clip-alternatives/). Wording in quotes is the vendor's. | Tool | Seats | Brand kits | Social accounts | Team features | |---|---|---|---|---| | Opus Clip | Pro: "2 users / pack, up to 4 users". Business: "Unlimited" | Free and Starter: 1 template. Pro: "Up to 4 templates". Business: "Custom solution" | "Post to multiple profiles per social platform" on Pro and Business | Business is "Custom", via contact form | | Vizard | Not stated on the pricing page | "Brand kit" on Business | 1 on Free, 6 on Creator, 20 on Business | Free and Creator: "Private workspace". Business: "Share project" | | Klap | Not stated on the pricing page | Not stated on the pricing page | "Unlimited social accounts" on all plans | Pro+ is labelled "For teams", 1,000 clips a month | | ScaleReach | Agency: up to 10 members | Unlimited per workspace | Unlimited on Agency | Up to 10 workspaces; minutes stay per workspace | Sources: opus.pro/pricing, vizard.ai/pricing, klap.app/pricing (all verified 2026-10-05). "Not stated" means the rendered pricing page didn't say, not that the feature is missing. What competitors do better, plainly: Opus Clip offers a Business tier with unlimited seats and a sales contact, which suits larger agencies that want a contract. Vizard's Business plan includes project sharing inside the product. Klap prices by output clips, so if you think in deliverables rather than footage hours, its numbers are easier to quote to a client. Watch per-seat pricing on any tool. A five-person team on a per-seat plan pays five times the headline price. ## How do agencies actually use ScaleReach today? Honestly, the team features are barely used. These are live counts from our production database on 5 October 2026: | Measure | Count | |---|---| | Workspaces | 1,666 | | Workspaces with more than one member | **0** | | Workspaces on the Agency plan | 1 | | Owners with more than one workspace | 6 | | Brand templates saved, across all workspaces | 2 | | Workspaces with any connected social account | 10 | | Share links created | 58, across 4 workspaces | | Share link views | 1,472, from 259 distinct viewers | So the one agency on ScaleReach runs it like a solo operator: one person, one workspace, 36 channels. Nobody has yet tested 10 members inside a workspace in production. If you need a multi-person setup, that's the part to try on a trial before you rely on it. The share links get real use, though, with 259 distinct viewers so far, which is the review step most agencies need. ## How should an agency set this up? 1. **Decide pooled or split per client.** Default to one shared workspace. Make a separate paid workspace only for clients whose contracts restrict who can see their footage. 2. **Make one brand template per client.** Caption style, logo and aspect ratio. Name it after the client so nobody picks the wrong one. 3. **Connect each client's social accounts.** Name the accounts clearly. In a shared workspace, every member can post to every connected account. 4. **Use the video's notes field for the client name.** Each video has a notes field, so the library stays sorted when 30 shows sit in one place. 5. **Send clips for approval with a share link.** The client reviews and downloads without an account. Revoke the link once the batch is approved. For the weekly rhythm after setup, [a content repurposing system for small teams](/blog/content-repurposing-system-for-small-teams/) covers the handoffs from footage to posting. ## FAQ ### What is the best AI clipping tool for agencies? The one whose billing unit matches how you separate clients. If your team works on every client, pick a tool with a large shared minute pool and several brand kits. ScaleReach Agency gives 5,000 minutes a month with unlimited brand templates and social accounts. If clients must be kept apart, compare per-workspace or per-seat pricing instead, because you'll be paying for each separation. ### Can I manage multiple clients in one ScaleReach account? Yes. Keep every client in one Agency workspace, make a brand template for each, and connect each client's social accounts there. All clients then share the 5,000 monthly minutes. The trade-off is visibility: every member of that workspace can see every client's videos and post to every connected account. There are no per-client permissions inside a workspace. ### Are minutes shared across ScaleReach workspaces? No. Minutes belong to the workspace that holds the plan. The Agency plan lets you create up to 10 workspaces, but each new one starts on the Free plan with 0 minutes and needs its own paid plan to clip. To share one minute pool across clients, keep the clients in the same workspace and separate them with brand templates and notes. ### How do clients approve clips without an account? Send a share link. Each video can have one, and it opens a page where the client watches the clips and downloads the ones they approve. No login is needed. The link can be revoked at any time and records views and downloads. It has no password, so share it only with the client and revoke it once the batch is done. ### How many clients can 5,000 minutes cover? About 20 clients publishing four one-hour episodes a month, or 10 clients at eight a month. Minutes are charged on source footage, so 5,000 minutes is just over 83 hours. A single upload can be up to 3 hours. On annual billing that works out to about $0.0098 per source minute, and about $0.0198 on monthly billing. ### Do AI clip tools charge per seat? Some do, and it changes the math more than the headline price. Opus Clip's Pro plan adds users in packs, up to 4, and its Business tier has unlimited seats on a custom quote. ScaleReach doesn't charge per seat: Agency includes up to 10 members. Check the seat line on every pricing page, because a per-seat price multiplies by your team size. ## The bottom line For most small agencies, one shared workspace is the right setup. One minute pool, one brand template per client, every client's accounts in one place, and share links for approvals. Split a client into its own workspace only when their access rules demand it, and budget for that workspace's own plan. Be clear-eyed about where ScaleReach stands. The volume and per-minute price are strong, and the single-operator agency workflow is proven: one workspace has clipped 36 channels. Multi-member teams haven't been exercised in production yet, and there are no per-client permissions. If those matter, test them on a trial first. Every ScaleReach number here comes from our production database and source code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** First published. Workspace, member, brand template, social account and share link counts, plus the Agency workspace's video and channel counts, were measured from ScaleReach's production database on 5 October 2026. Plan limits, workspace creation rules, roles and share link behaviour come from our production code as of that date. Opus Clip, Vizard and Klap team features were read from their own pricing pages on 5 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether minutes become shareable across workspaces; the first workspace with more than one member; per-client permissions; TikTok audit clearing; competitor seat and brand kit changes. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips for creators and agencies. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited.* --- # How to Turn Coaching Videos Into Short Clips (2026) URL: https://www.scalereach.ai/blog/turn-coaching-videos-into-short-clips Published: 2026-10-04 · Author: Hevin K Tags: Short-Form Video, Content Repurposing, Workflow, Webinar Clips To turn coaching videos into short clips, start with the recordings where you teach (webinars, workshops, trainings, solo videos), not the sessions where a client talks. Record them so your camera stays on screen, then let a clip tool pull lessons that make sense on their own. The recording setup decides more than people expect: in our own library, a 38-minute course recorded as slides with no camera gave 7 clips scoring 91 to 97, and 6 of the 7 came out as a whole slide shrunk into a vertical frame. Disclosure: ScaleReach makes a [clip generator for coaches](/coaching-video-clip-generator/), so weigh the bias. Every ScaleReach figure below comes from a read-only query of our production database on 4 October 2026, or from our own source code on the same day. Zoom and ICF facts are quoted from their own pages, read the same day and linked where they appear. ## The short answer > **Clip what you teach.** Webinars, masterclasses, group trainings and talks are yours to publish. > > **Don't clip client sessions without written consent.** The ICF defines confidentiality as protecting anything from the coaching relationship unless the client gives written consent to release it. That covers a 1:1 call you upload to an AI tool, not just one you post. > > **Record active speaker view.** One face fills the frame and the vertical crop can follow it. Gallery view and slides-only recordings crop worst. > > **Bottom line:** the best coaching clip is one self-contained idea, a framework, a reframe or an answer to a question clients always ask, in under 90 seconds. ## Which coaching videos can you turn into clips? Most coaches have two kinds of footage, and only one of them is safe to publish by default. | Recording | Clip it? | Why | |---|---|---| | Webinar or masterclass | Yes | You're teaching to an audience. It was made to be seen | | Recorded workshop or training | Yes, your parts | Attendee faces and questions need their permission | | Solo video, live stream, keynote | Yes | Already public or meant to be | | Podcast guest appearance | Usually | Check the host's terms before reposting their footage | | Group coaching call | Only your teaching segments | Members' stories are confidential | | 1:1 client session or sales call | No, unless the client gives written consent | Confidential by default | The ICF's [Code of Ethics](https://coachingfederation.org/credentialing/coaching-ethics/icf-code-of-ethics/) is direct about this. Standard 2.1 commits coaches to "the strictest level of confidentiality with all parties involved". Its appendix defines confidentiality as "the protection of any information obtained in or around the coaching relationship unless there is a legal reason or requirement, a threat of harm, or written consent to release is given by the client." Two other standards matter before you upload anything, even privately. Standard 2.4 covers how you "maintain, store, and dispose of any records, including electronic files". Standard 2.5 extends your obligations to "any technology systems I may utilize", and names artificial intelligence. An AI clip tool is one of those systems. Here is what happens to an uploaded file on ScaleReach, so you can judge it against your own client agreements: - The audio is transcribed by Deepgram, a speech-to-text provider. - The transcript is read by a Google Gemini model, through Google's Vertex AI, to pick the moments. - The source and clips are deleted after 15 days on the free plan and 6 months on paid plans. If a client session is the only place a great answer lives, the simplest fix is to re-record the answer yourself as a short solo video. You keep the idea and the client keeps their privacy. ## How should you record a coaching session so it crops to vertical? Every clip tool has to turn a 16:9 recording into a 9:16 clip, and it can only follow faces it can see. ScaleReach's reframe picks a layout from the faces it finds in sampled frames. Here's how the common Zoom recording layouts map to what you get: | Zoom recording layout | What the reframe sees | Vertical result | |---|---|---| | Active speaker | One face, large | The crop tracks your face. The cleanest result | | Shared screen with your thumbnail in a corner | One small face (3 to 12% of frame width) in a corner in 35%+ of frames | Screen on top, your face below, 50/50 | | Gallery view, 2 people side by side | Two faces on opposite sides | Both stacked, one above the other | | Gallery view, 3 people | Three faces | One large panel on top, two below | | Gallery view, 2 × 2 grid | Four tile-sized faces | A 2 × 2 grid | | Gallery view, 5 or more people | A group | The whole frame letterboxed into 9:16. Faces get small | | Shared screen only, no camera | No face | The whole frame with a 1.25× zoom. Slide text gets small | Zoom lets you pick which of these you record. Its [cloud recording settings](https://support.zoom.com/hc/en/article?id=zm_kb&sysparm_article=KB0064676) include "Record active speaker with shared screen", "Record gallery view with shared screen" and "Record active speaker, gallery view and shared screen separately", which saves each layout as its own video. There's also "Record thumbnails when sharing", which includes "a thumbnail of the presenter when screen sharing". Zoom lists cloud recording as needing a Pro, Business or Enterprise account (verified 2026-10-04). The practical setup for a coaching webinar: 1. Turn on "Record active speaker, gallery view and shared screen separately" and tick at least Active speaker. 2. Turn on "Record thumbnails when sharing", so your face stays in the shared-screen file too. 3. Clip the active speaker file. Keep gallery view for the replay page, not for shorts. Here's what happens when you skip that. This full course from our own test workspace was recorded as slides and a voice, with no camera. The clips scored well, because the score reads what's said. But in 6 of the 7 clips there was no face to follow, so the whole slide got shrunk into the middle of a vertical frame. ![ScaleReach clip list for a 38-minute system design course: clip #1, The #1 Decision AI Cannot Make For You, scores 97 at 1080 by 1920, and its vertical preview shows a small slide in the middle of a dark frame with no speaker visible](/blog/coaching-course-clips-list.webp "A slides-only course clips fine on substance, scoring 97 here, but with no face in frame the vertical version is mostly empty space. ScaleReach, 4 October 2026.") For more on how face tracking works, see [how to convert landscape video to vertical](/blog/convert-landscape-video-to-vertical/). Every reframe can be changed by hand in the editor before you export. ## What makes a good coaching clip? One idea that works without the rest of the session. ScaleReach finds moments by reading the transcript, so it's looking for spoken setups and payoffs, not visuals. In coaching footage, the clips that stand alone tend to be: - **A named framework.** "There are two voices holding you back" works on its own. "As I said in part one" doesn't. - **A reframe of a common belief.** Saying out loud the thing most of your audience gets wrong. - **The answer to a question you hear every week.** If three clients asked it, strangers are searching for it. - **A short story with a turn.** A client result told without identifying the client, or with their written consent. These are real clip titles our system picked from public YouTube videos processed in our own test workspace: | Source | Length | Clips | Example clips (viral score) | |---|---|---|---| | Interview with a counselling psychologist and life coach | 66 min | 9 | "The Two Voices Holding You Back" (92), "Why 'Awareness' Is Not Enough To Change" (90), "The Difference Between Pain and Suffering" (85) | | Video on the consulting industry | 10 min | 8 | "The MECE Framework: How Consultants Solve Impossible Problems" (95) | | System design full course, slides only | 38 min | 7 | "The #1 Decision AI Cannot Make For You" (97), "How to Actually Pass a System Design Interview" (96) | Source: ScaleReach production database, read-only query, 4 October 2026. Notice how often "framework" shows up. Every clip also gets labels for the hook technique the model thinks it uses. In coaching footage those labels read like teaching moves: "Actionable mental model", "Promises a framework", "Counter-intuitive statement". To be straight about what that means: across all 4,835 live clips, the 226 (4.7%) with a framework-style label averaged a viral score of 88, against 87 for every clip. The score doesn't reward frameworks. Pick them because they show prospects how you think, not because they score higher. On how to open each clip, see [how to write a hook for short videos](/blog/how-to-write-a-hook-for-short-videos/). ### Should you change the clip type for coaching videos? You can, though almost nobody does. Of 1,991 clip jobs set up on ScaleReach, 1,956 (98.2%) used the default Viral Clips template, and 75 (3.8%) added a custom prompt. The templates closest to coaching material: | Template | What the model is told to look for | |---|---| | Topic Clips | "Each clip should be a self-contained explanation of a specific topic" | | Speaker's Insights | "Insightful, thought-provoking, or relatable opinions... expert knowledge, and moments of wisdom" | | Instructions | "Step-by-step instructions, tips, tricks, and practical demonstrations" | | Testimonial | "Success stories" and "authentic praise". Only use this with the client's consent | The Custom tab takes plain language, for example "Find moments where I explain a framework or answer a client question, under 90 seconds." We don't have enough non-default jobs to say any template beats Viral Clips on coaching footage, so treat this as a way to steer, not a proven upgrade. ## How long should a coaching clip be? Most land between 30 and 60 seconds, and teaching runs a bit longer. The 73 live clips from videos with coaching or course words in the title had a median length of 43 seconds, and 69.9% ran 60 seconds or less. The 4,729 clips from everything else had a median of 45 seconds, with 73.3% at 60 seconds or less. That's a small sample, because coaching content is rare in our library: 10 of the 814 completed videos have words like coach, course or class in the title. Explanations need room. The slides-only course above produced clips from 25 to 104 seconds. YouTube Shorts takes up to 3 minutes, so a 90-second lesson fits. If you post the same clip everywhere, our breakdown of [clip length on TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) covers where each length works. ## How do you upload a Zoom recording? Download it first. ScaleReach takes links from YouTube, Twitch and Kick, not Zoom share links, so a Zoom recording goes in as a file. Files can be MP4, MOV or WebM, up to 2 GB on the free plan and 4 GB on paid plans. Length and minutes depend on the plan: | Plan | Longest video accepted | Minutes per month | Price | |---|---|---|---| | Free | 30 minutes | 100 (one-time) | $0 | | Starter | 2 hours | 200 | $12/month, or $10/month billed annually | | Pro | 3 hours | 400 | $18/month, or $12.50/month billed annually | | Agency | 3 hours | 5,000 | $99/month, or $49/month billed annually | A 60-minute webinar costs 60 minutes, so Starter covers about three a month and Pro about six. The free plan's 30-minute cap per video means a full webinar needs a paid plan, or a trimmed file. Current figures are on the [pricing page](/pricing/). If the webinar was also a sales or B2B event, [our webinar to LinkedIn clips playbook](/blog/webinar-to-linkedin-clips/) covers clip roles and posting order. ## FAQ ### How do I turn coaching videos into short clips? Pick a recording where you're teaching, such as a webinar, workshop or training, and download the active speaker version. Upload it to an AI clip tool, which reads the transcript, picks self-contained moments, crops them to 9:16 and adds captions. Review the clips, keep the ones that make sense without the rest of the session, and post them to Reels, Shorts or LinkedIn. ### Can I post clips from client coaching sessions? Not without the client's written consent. The ICF Code of Ethics defines confidentiality as protecting any information from the coaching relationship unless there's a legal reason, a threat of harm, or written consent to release. Uploading a session to an AI tool counts as using a technology system, which the code also covers. Re-recording the idea as a solo video is the safer route. ### What's the best Zoom setting for recording clips? Active speaker. In Zoom's cloud recording settings, turn on "Record active speaker, gallery view and shared screen separately" and tick Active speaker, then clip that file. One large face gives the vertical crop something to follow. Turn on "Record thumbnails when sharing" too, so your face stays visible during slides. Zoom lists cloud recording as needing a Pro, Business or Enterprise account. ### Why do my slide-heavy clips look empty on mobile? Because there's no face to follow. When a recording is only slides and voice, ScaleReach keeps the whole frame with a 1.25× zoom rather than guessing a crop, so the slide sits small in the middle of a 9:16 frame. Keep your camera on while presenting, or record with your thumbnail in a corner, and the clip becomes screen on top and your face below. ### How long should a coaching clip be? Usually 30 to 60 seconds, with room to go to 90 for an explanation. In our library, clips from coaching and course videos had a median of 43 seconds, and 69.9% ran 60 seconds or less. That sample is small, 73 clips. YouTube Shorts accepts up to 3 minutes, so a complete lesson of 60 to 90 seconds fits. ### How many clips does a one-hour coaching webinar give? Usually high single digits, more if the talking is dense. In our library, the 21 videos of 30 to 90 minutes processed in the last 60 days averaged 7.4 clips, median 7. A 66-minute coaching interview gave 9. A 10-minute talk on consulting gave 8, because almost every minute held a point. Yield follows how much self-contained teaching is in the recording, not its length alone. ## The bottom line Coaching footage clips well because it's built from spoken ideas, and that's what AI clip tools read. The work is in choosing the right recordings: teach on camera, record active speaker view, and leave client sessions out unless the client has agreed in writing. Then pick clips the way you'd pick examples for a talk. One framework, one reframe or one answer per clip, short enough to watch twice, clear enough that a stranger gets the point without the session around it. Every ScaleReach number here comes from our production database and source code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** First published. Clip counts, lengths, template use, custom-prompt use and hook-label shares were measured from ScaleReach's production database on 4 October 2026. Reframe layouts, plan limits, upload formats, retention windows and the transcription and detection providers come from our production code as of that date. Zoom recording settings were read from support.zoom.com and the ICF Code of Ethics from coachingfederation.org on 4 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** re-measure clip length once more coaching videos have been processed; whether Zoom links become a supported source; whether Zoom changes its recording layout options. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos, including webinars and coaching recordings, into captioned vertical clips. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited.* --- # How to Turn a Twitch Stream Into TikTok Clips (2026) URL: https://www.scalereach.ai/blog/turn-twitch-stream-into-tiktok-clips Published: 2026-10-03 · Author: Hevin K Tags: Short-Form Video, TikTok, Content Repurposing, Workflow To turn a Twitch stream into TikTok clips, you need three things: the finished VOD (a live channel or a 60-second Twitch clip won't work), a VOD short enough for your tool to accept, and commentary on the stream. That last one matters more than people expect. Our own data shows it: the median video on ScaleReach carries about **168 spoken words per minute**. The first Twitch gaming stream processed through us carried 85, and it gave back 2.8 clips per hour of footage. Disclosure: ScaleReach makes a [Twitch to TikTok clip generator](/tools/twitch-to-tiktok-generator/), so weigh the bias. Every ScaleReach figure below comes from a read-only query of our production database on 3 October 2026, or from our own source code on the same day. Twitch facts are quoted from Twitch's help centre, read the same day and linked where they appear. ## The short answer > **Save the VOD first.** Twitch deletes past broadcasts after 7 days on most channels, 14 for Affiliates and 60 for Partners, Prime and Turbo users. > > **Cut it down before you clip it.** A full stream often runs past what clip tools accept. On ScaleReach the cap is 3 hours on Pro, 2 on Starter and 30 minutes on the free plan. A Twitch Highlight is the easiest way to get under it. > > **Paste the VOD link, not a clip or the channel.** `twitch.tv/videos/123456789` works. A live channel or a Twitch clip doesn't. > > **Bottom line:** AI clip tools find moments by reading what you say. A stream where you react out loud clips well. A stream played in silence clips badly, in any tool that works from the transcript. ## Do you even need an AI tool for this? Not for every clip. Twitch's own [Clip tool](https://help.twitch.tv/s/article/how-to-use-clips) already covers the single moment you know about. Clips run up to 60 seconds, you can set any aspect ratio "from landscape (16:9) to portrait (9:16)", there's a stacked layout, and you can post directly to YouTube Shorts, TikTok, Instagram and Snapchat. It's free and it's built in. An AI clipper does a different job: finding the moments across a three-hour VOD you're never going to rewatch. If a viewer already clipped the play, use Twitch's tool. If the stream is a pile of footage and you want the ten best minutes of it, that's where a clip tool earns its cost. ## Step 1: Save the VOD before Twitch deletes it Turn on "Store past broadcasts" in your stream settings before you go live. Without it, there's nothing to clip. After that, the clock depends on your account. Here are Twitch's own figures from its [on-demand content page](https://help.twitch.tv/s/article/video-on-demand): | Account | Past broadcasts kept | |---|---| | Most broadcasters | 7 days | | Twitch Affiliates | 14 days | | Partners, Prime and Turbo users | 60 days | | 2K or vertical version of a VOD | 7 days, then the 1080p or horizontal version for the rest of the window | | Highlights and uploads | No 7/14/60-day window, but a 100-hour storage cap across all of them | Source: help.twitch.tv/s/article/video-on-demand (verified 2026-10-03). ![Twitch help centre page titled On-Demand Content on Twitch, stating that Partners, Prime and Turbo users keep past broadcasts for 60 days, Affiliates for 14 days and all other broadcasters for 7 days](/blog/twitch-vod-storage-limits.webp "Twitch's own retention rules. On most channels a VOD is gone a week after the stream. Captured from help.twitch.tv on 3 October 2026.") Two ways to keep a stream past that window: - **Make a Highlight.** In the Video Producer, open the past broadcast in the [Highlighter](https://help.twitch.tv/s/article/creating-highlights-and-stream-markers), mark the section you want and publish it. Highlights don't follow the 7/14/60-day deletion, and they get their own `twitch.tv/videos/` link. - **Download it.** In the Video Producer, open the three-dot menu next to the video and choose download. Then you upload the file instead of pasting a link. One habit makes the Highlighter much faster. Type `/marker` in your own chat when something happens on stream (add a description after a space if you like). Twitch drops a marker at that timestamp, and every marker shows up on the Highlighter's timeline afterwards. That's the closest thing to a free, human-made highlight list. ## Step 2: Get the VOD under your tool's length limit This is the step that catches most streamers out. A full stream VOD often runs well past 3 hours, and clip tools cap source length below that. Here's ScaleReach's limit per plan, read from our plan config: | Plan | Longest source accepted | Minutes per month | Price | |---|---|---|---| | Free | 30 minutes | 100 (one-time) | $0 | | Starter | 2 hours | 200 | $12/month, or $10/month billed annually | | Pro | 3 hours | 400 | $18/month, or $12.50/month billed annually | | Agency | 3 hours | 5,000 | $99/month, or $49/month billed annually | Two details worth knowing before you paste a long link: - **The length check uses the whole VOD.** You can select a time range so you're only charged for part of a stream, but the plan limit is checked against the full source duration. A 6-hour VOD is rejected on every plan even if you only want 40 minutes of it. Cut a Highlight first, then paste the Highlight's link. - **Minutes are charged on what you process.** A 3-hour Highlight costs 180 minutes, so Starter's 200 covers roughly one long stream a month and Pro's 400 covers two. Selecting a shorter range inside a VOD costs only that range. Current prices and minutes are on the [pricing page](/pricing/). ## Step 3: Paste the right link ScaleReach accepts finished VODs from Twitch, Kick and YouTube. It rejects three things, each with its own message: | What you paste | What happens | Why | |---|---|---| | `twitch.tv/videos/123456789` (a VOD or Highlight) | Accepted | A finished video with a fixed length | | `twitch.tv/yourchannel` | Rejected: "That's a live Twitch channel" | A live stream has no end, so there's nothing to clip yet | | `twitch.tv/yourchannel/videos` | Rejected: "That's a Twitch channel page" | It's a list. The tool would otherwise grab whichever VOD happens to be first | | `clips.twitch.tv/...` | Rejected: "Twitch clips are too short" | Twitch clips cap at 60 seconds and the pipeline needs at least 3 minutes | | A VOD from a stream still in progress | Rejected until it finishes publishing | Its duration reads as zero | Kick works the same way: a `kick.com/channel/videos/` link is accepted, while a live channel or a Kick clip is rejected. If you downloaded the file instead, upload it as MP4, MOV or WebM, up to 2 GB on the free plan and 4 GB on paid plans. ## Why does an AI clipper miss my best plays? Because it reads your stream instead of watching it. ScaleReach's moment detection, like most tools in this category, works from the transcript, the words you said with timestamps. The instruction our model gets says it in so many words: "You only see the transcript... so you must infer what is happening on screen from what people say and how they say it." On gaming streams it looks for the audible side of a highlight: bursts like "no no no" or "let's go", kill counts, "we won", "clutch", call-outs to chat, and a sudden jump in how fast you're talking. Gaps of 8 seconds or more are marked as silence, and the model is told that silence right before an explosive reaction is often the play itself. So a clutch you shout about gets found, lead-up included. The same clutch played in silence leaves nothing in the transcript to find. Here's what that looks like in numbers. Twitch support is new for us, so the sample is tiny: two Spanish-language gaming streams, both processed on 2 October 2026. Treat them as an illustration, not a benchmark. | Source | Spoken words per minute | Runtime in silences of 8s+ | Clips found | |---|---|---|---| | Median ScaleReach video (383 completed, last 60 days) | 167.9 | 1.7% | n/a | | Twitch stream, 108 minutes | 85.4 | 28.9% | 5 (2.8 per hour) | | Twitch stream, 47 minutes | 4.9 | 94.2% (longest gap: 9 min 48 s) | 1 (1.3 per hour) | Source: ScaleReach production database, read-only query, 3 October 2026. For comparison, the 13 completed 1-to-2-hour videos processed in the last 90 days, mostly podcasts and interviews, averaged 10.6 clips each. That's a floor rather than an exact figure, because free-plan clips are deleted after 15 days. The near-silent stream gave one clip in 47 minutes. More detail on what drives clip counts is in [how many clips one hour of video produces](/blog/how-many-clips-from-a-one-hour-podcast/). The six clips those two streams did produce make the point another way. Every clip is tagged with the hook technique the model thinks it uses. Across the six clips there were 12 tags. Most named a talk technique: "Shocking statistic comparison", "Practical growth framework", "Strategic streamer formula". **None of the 12 was a gameplay technique** like "Clutch play", "Epic fail" or "Explosive reaction", although those are the examples the model is given. What it found worth clipping was the streamer talking. ## How to stream so your VOD clips well None of this means quiet streams can't be clipped. It means the commentary is the raw material. Practically: 1. **Narrate the big moments.** "One HP, watch this" before the play and "did you see that" after it gives the clip a hook and a payoff. It also gives the transcript something to find. 2. **Read chat out loud.** Answering a chat message on mic turns an off-screen interaction into a clip-able exchange. 3. **Keep a facecam in a corner.** It helps the vertical crop as well as detection, as the next section shows. 4. **Use `/marker` on the moments you know are good.** Then cut a Highlight around them, so the AI starts from a dense hour rather than a sparse six. 5. **Split long streams by segment.** A Just Chatting opener and a ranked grind are different videos. Clip them as separate Highlights so each gets judged on its own terms. For the first three seconds of each clip, our guide on [writing a hook for short videos](/blog/how-to-write-a-hook-for-short-videos/) covers why the spoken opening is usually a cut, not a line you write. ## How does gameplay get reframed to vertical? A Twitch stream is 16:9 and TikTok is 9:16, so something has to be cropped. What ScaleReach's reframe does depends on what it finds in the frame: - **Small facecam in a corner → screen on top, face below.** If one small face (3% to 12% of the frame width) sits in a corner of the frame in at least 35% of sampled frames, the clip becomes a 50/50 split. The full gameplay frame goes in the top 1080 × 960 and a zoomed, tracked crop of your webcam goes in the bottom 1080 × 960. - **Larger or centred camera → face-tracked crop.** A webcam that fills more of the frame is treated as a person on camera, and the crop follows your face. - **No face at all → full frame with a light zoom.** Pure gameplay keeps the whole frame at 1.25× instead of cutting a blind vertical slice out of the middle. The same logic is explained for talking-head footage in [how to convert landscape video to vertical](/blog/convert-landscape-video-to-vertical/). To be straight about where this stands: the screen-plus-facecam layout hasn't fired on a single clip in our current library. With two stream VODs processed so far, that's a sample problem, not proof it works or that it doesn't. Of the clips from those two streams, two used the full-frame zoom and one switched layouts between segments. Every reframe can be adjusted by hand in the editor before you export. ## Step 4: Post to TikTok Clips come out as 1080 × 1920 MP4s, captioned, with a viral score to sort them. Download the ones you want and post them from the TikTok app. Our scheduler can't publish TikTok posts publicly yet: our TikTok app hasn't passed TikTok's audit, and TikTok restricts unaudited apps to private posts. [Which clip tools actually auto-post to TikTok](/blog/auto-post-clips-to-tiktok-instagram-youtube/) has the details. YouTube Shorts and Instagram Reels do publish from the scheduler. If you're posting one clip from a stream, Twitch's own direct post to TikTok is quicker than any of this. Its one catch: if a viewer posts your clip, Twitch auto-hashtags your channel name and the tag can't be removed. ## FAQ ### How do I turn a Twitch VOD into TikTok clips? Save the VOD before Twitch deletes it, cut it to a length your clip tool accepts (a Twitch Highlight is the easiest way), then paste the VOD's `twitch.tv/videos/` link into an AI clip tool. It finds the moments, crops them to 9:16 and adds captions. Download the clips and post them to TikTok. For a single moment you already know, Twitch's built-in Clip tool can post straight to TikTok. ### How long does Twitch keep VODs? Seven days for most broadcasters, 14 days for Twitch Affiliates and 60 days for Partners, Prime and Turbo users, per Twitch's help centre on 3 October 2026. A 2K or vertical version expires after 7 days on every account. Highlights and uploads don't follow that deletion window, but they share a 100-hour storage cap, so a Highlight is the way to keep a stream you plan to clip later. ### Can I paste a Twitch clip link instead of a VOD? No. Twitch clips are capped at 60 seconds, and an AI clip tool needs a longer source to choose moments from. ScaleReach needs at least 3 minutes, so it rejects clip links and asks for the VOD. A live channel link is rejected too, because a stream that hasn't ended has no fixed length. Paste the finished VOD or a Highlight instead. ### Why didn't the AI find my best gameplay moments? Most AI clip tools find moments from the transcript, so a play you didn't react to out loud leaves nothing for them to find. In our data, the median video has about 168 spoken words per minute. A near-silent gaming stream had under 5 and produced one clip in 47 minutes. Narrate big moments, read chat on mic and use `/marker` to point at the plays you know are good. ### How long a Twitch stream can I upload? On ScaleReach it's 30 minutes on the free plan, 2 hours on Starter and 3 hours on Pro and Agency. The limit is checked against the full VOD, even if you select only part of it, so a 6-hour stream needs cutting into a shorter Highlight first. You're charged only for the minutes you process: a 3-hour Highlight costs 180 of Pro's 400 monthly minutes. ### Does it work with Kick streams? Yes. A Kick VOD link in the form `kick.com/channel/videos/` is accepted and processed the same way as a Twitch VOD. Kick clips are rejected for the same reason as Twitch clips: they're shorter than the 3-minute minimum. A live Kick channel link is rejected until the stream ends and the VOD is published. ## The bottom line The workflow is short: save the VOD before Twitch deletes it, cut a Highlight short enough for your tool, paste its `twitch.tv/videos/` link, then download the vertical clips and post them. For one moment you already know about, skip all of it and use Twitch's own Clip tool. What decides how many clips you get is how much you said, not how well you played. AI clippers read the transcript, ours included, and our first Twitch streams show it: talk-heavy footage clips like a podcast, silent gameplay barely clips at all. If you want your streams to clip well, react out loud. Every ScaleReach number here comes from our production database and source code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** First published. Speech density, silence share and clip counts for the two Twitch VODs, the 383-video median and the 1-to-2-hour comparison were measured from ScaleReach's production database on 3 October 2026. URL handling, plan length limits, moment-detection prompts and reframe layouts come from our production code as of that date. Twitch retention, Highlight and Clip facts were read from help.twitch.tv on 3 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** re-measure once more than a handful of Twitch or Kick VODs have been processed; whether the screen-plus-facecam layout starts firing on stream clips; whether TikTok's audit clears so the scheduler can post publicly; whether Twitch changes its VOD retention windows. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos, including Twitch and Kick VODs, into captioned vertical clips. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited.* --- # How to Write a Hook for Short Videos: Data From 4,843 Clips URL: https://www.scalereach.ai/blog/how-to-write-a-hook-for-short-videos Published: 2026-10-01 · Author: Hevin K Tags: Short-Form Video, TikTok, YouTube Shorts, Content Strategy, Audience Retention A short-video hook has two layers: the first line the viewer hears, and the text they read before that line lands. Our AI writes the second layer to a tight spec: 4 to 5 words, 30 characters at most, shown for the first 3 seconds. Across the 1,749 hook titles it has written for clips still in our system, the median is **4 words and 24 characters**. Only 5.2% of them are phrased as a question. Disclosure: ScaleReach makes an [AI hook generator](/tools/ai-hook-generator-tool/), so weigh the bias. Every ScaleReach figure below comes from a read-only query of our production database on 1 October 2026, covering 4,843 clips from 770 videos. The platform guidance is quoted from TikTok's and YouTube's own help pages, read the same day. One thing this post does not claim: that any hook formula is proven to win. Nobody publishes controlled data on that, and we don't have it either. ## The short answer > **The spoken hook is a cut, not a line you write.** Start the clip on the sentence that carries the payoff, not on the setup before it. > > **Add on-screen text only to frame that line.** Keep it to about 4 words and under 30 characters, and show it for the first 3 seconds. > > **Name the stakes, not the topic.** "The Startup Valuation Trap" beats "Startup Valuations". A statement is the default. A question works only when the clip answers it fast. > > **Bottom line:** in a clip cut from a long video, the easiest hook to fix is one that starts a few seconds too early. Fix where it starts before you rewrite anything. ## What is a hook in a short video? A hook is everything a viewer takes in before deciding whether to keep watching: the first spoken line, the first frame, and any text on screen. On a short-form feed that decision happens in a second or two. The viewer isn't choosing whether to watch your video. They're choosing whether to stop swiping. That's why hook advice written for long YouTube videos ("tease what's coming later") transfers badly. A 45-second clip has no "later". The hook and the payoff are usually the same moment, which is why picking the right start point matters more than any line you add. ## Why do the first 3 seconds decide a short? Because the platforms measure the swipe directly. YouTube Studio reports two Shorts metrics for exactly this. **Shown in feed** is "the number of times that your Shorts showed in the Shorts Feed". **How many chose to view** is "the percentage of times that viewers viewed your Shorts versus swiped away" ([YouTube Help](https://support.google.com/youtube/answer/12942217), verified 1 October 2026). Together they measure how well a Short's opening stopped people mid-scroll. TikTok's own creative guidance says the same thing in timing terms. Its [creative best practices](https://ads.tiktok.com/help/article/creative-best-practices) page advises: "Introduce your content proposition in the first 3 seconds" and "Prioritize your hook in the first 6 seconds." The same page recommends "displaying 5-10 words per second when using text." That guidance is written for ads, not organic posts, but the feed and the viewer's thumb are the same. For reading the retention curve that follows the hook, see [what makes a Shorts retention graph good or bad](/blog/youtube-shorts-retention-graph-good-vs-bad/). ## How do you write the spoken hook? You choose it rather than write it. In a clip cut from a podcast, interview or talk, the hook is whichever sentence the clip opens on. Moving the start point by a few seconds changes the hook completely. Our AI writes an edit suggestion for every clip it scores below 96. Here are two real ones from clips in our own workspace, cut from public YouTube videos: - *"Start exactly on the phrase 'Don't spend three weeks agonizing over something you can undo in three minutes' at 1:43 to hook scrollers even faster than leading with 'for reversible decisions'."* - *"Cut the intro phrase 'make your boss's life easier' and open directly on 'Here's a lesson from every workplace ever: bosses divide employees into two categories' at 10:14."* Both are the same fix: the clip started on the lead-in instead of the line. Across all 1,415 suggestions the AI has written since we added the field on 16 August 2026: | What the suggestion mentions | Share of suggestions | |---|---| | The word "cut" | 41.1% | | The ending of the clip | 14.8% | | Starting the clip at a different line | 12.5% | | The opening, first line or first seconds | 9.6% | Source: ScaleReach production data, 1 October 2026. These are keyword counts on free-text suggestions, so one suggestion can match several rows. Clips scoring 96 or above get no suggestion by design. Two things stand out. Most fixes are cuts, not additions: trim the filler, the pause or the throat-clearing. And endings come up about as often as openings, because a clip that trails past its payoff loses people too. A practical rule follows: 1. **Find the payoff sentence first.** The punchline, the number, the contrarian claim. 2. **Start on it, or one sentence before it at most.** If the clip needs no setup to make sense, give it none. 3. **End right after it.** Cut the "yeah, so anyway" that follows. ## How do you write an on-screen hook title? Short, specific, and about the stakes. When the spoken opening needs context, a few words of text in the first 3 seconds tell the scroller what they're about to get before the audio registers. Our AI writes these "intro titles" to a fixed spec: 4 to 5 words, 30 characters at most, no emojis, burned in for the first 3 seconds. Here is what it actually produces: | Measure | Result across 1,749 hook titles | |---|---| | Median length | 4 words, 24 characters | | 30 characters or fewer | 93.7% | | 5 words or fewer | 94.3% | | Contains a number | 13.2% | | Starts with a question word (why, how, what...) | 10.7% | | Ends with "!" | 8.6% | | Ends with "?" | 5.2% | | Contains "you" or "your" | 5.0% | | Most common first word | "The" (205 titles, 11.7%) | Source: ScaleReach production data, 1 October 2026. Note that about 6% of titles break the 30-character rule, so the AI doesn't follow its own spec every time. After "The", the most common first words are "AI" (71), "Why" (68), "How" (57) and "This" (33). The pattern in practice is a noun phrase that names a specific stake. These are real titles from one podcast episode in our workspace: - The Startup Valuation Trap - Why Rich Kids Hide Their Wealth - The 91st Day Rule - Self-Made vs Privileged ![ScaleReach clip view: a 44-second vertical clip from a startup podcast with the hook title "The 4 Crore Equity Test" overlaid at the top of the first frame, the transcript beside it and a virality score of 95](/blog/hook-intro-titles-clips.webp "The speaker opens on setup ('my take on this stake is let's suppose...'), so the 5-word title frames the payoff before he gets there. Captured from ScaleReach on 1 October 2026.") The screenshot shows when on-screen text earns its place. The spoken line opens on setup, so the title does the hooking. When a clip already opens on its strongest sentence, the title is optional, and repeating the spoken line in text adds nothing. As for how often our users switch the title on: 1,749 of 4,843 live clips carry one (36.1%), and the setting is on for 519 of 1,947 videos (26.7%). That share moves as old clips expire from storage. On 19 September it was 55.8%. ## What kinds of hooks does AI find in long videos? Surprise, numbers and contrarian claims, roughly in that order. For every clip, our AI also writes a short label for each hook technique it detects. 82.3% of clips get two or more, and the median is two. Grouping those labels by keyword gives this picture: | Hook type (keyword match) | Share of 4,843 clips | |---|---| | Shock, surprise, reveal or twist | 20.6% | | A number, statistic or money | 12.1% | | Contrarian or controversial claim | 8.8% | | Relatable situation | 6.5% | | Humor | 6.0% | | Practical advice or a lesson | 5.4% | | A story or personal anecdote | 5.1% | | A direct question | 4.0% | Source: ScaleReach production data, 1 October 2026. The labels are free text, and many quote the clip's own dialogue, so a clip can match several rows or none. The exact labels the AI repeats most are "bold contrarian claim" (47 clips), "curiosity gap" (32), "high-stakes challenge setup" (21) and "shocking statistic" (19). Read this table as what the AI *notices* in long-form speech, not what performs. It tells you where to look when you scrub an episode for a starting line: the moment someone says something surprising, puts a number on something, or disagrees with the obvious answer. ## Six hook formulas, with examples Each of these maps to a hook type above. The bracketed parts are where your own clip's specifics go. | Formula | Example | When it fits | |---|---|---| | The contrarian claim | "[Common advice] is wrong, and here's why" | The speaker disagrees with something the audience believes | | The number | "[Specific number] [unit] in [timeframe]" | A concrete figure is the payoff | | The named trap | "The [topic] trap" / "The [number] rule" | The clip explains one mistake or one principle | | The reveal | "Why [surprising behaviour] happens" | The clip explains something unexpected | | The stakes | "[Person] bet [amount] on [thing]" | Something real is on the line | | The question | "What is [thing], really?" | Only when the answer comes within seconds | Use them for the on-screen title, not the spoken line. The spoken hook should be whatever your speaker actually said at the strongest moment. Rewording a guest's line into a formula usually makes it worse. ## Common hook mistakes - **Starting on the windup.** "So, I think, basically..." is the most common hook problem in clipped speech, and the fix is a later start point. - **A title that repeats the first spoken line.** It spends the viewer's first seconds reading what they're about to hear. - **A title that's too long to read.** Past about 5 words or 30 characters it stops fitting on two lines, which is why our spec caps it there. - **Promising what the clip doesn't deliver.** If the title says "the #1 mistake" and the clip never names it, viewers swipe at the moment of disappointment. - **A question the clip answers late.** A question hook opens a loop. If the answer arrives at 40 seconds, most viewers leave first. Captions carry the rest of the opening. Style and placement are covered in [how to add captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/). ## Can an AI hook generator tell you which hook will work? No, and be wary of any tool that implies it can. An AI hook generator is good at three jobs: finding the strongest line in a long recording, starting the clip on it, and writing a short title to frame it. It can't know in advance how your audience will react. Our own scores show the limit. Across the 7,101 clips we measured in July 2026, 82% scored 80 or above. A score that bunches that tightly is useful for deciding which clip to review first, and close to useless as a verdict on whether a hook will land. We dug into this for scoring tools in general in [how accurate virality scores really are](/blog/how-accurate-is-the-opus-clip-virality-score/). Use the AI to get a clip that starts in the right place, then judge the first 3 seconds yourself. Your Shorts analytics will tell you within days whether the opening stopped people. ## FAQ ### How do you write a hook for a short video? Start the clip on its strongest sentence instead of the setup before it, then add a short on-screen title only if that sentence needs context. In clips cut from long recordings, the usual fix is a cut rather than new words. 41.1% of our AI's 1,415 edit suggestions use the word "cut", and 12.5% tell you to start the clip at a different line. ### How long should a hook be? The spoken hook is the first one to three seconds of the clip. An on-screen hook title should be about 4 words and under 30 characters. That's the median of the 1,749 hook titles our AI has written, and 93.7% stay within 30 characters. TikTok's own creative guidance says to introduce your content proposition in the first 3 seconds. ### What makes a good hook for TikTok, Reels and Shorts? A specific stake stated plainly: a surprising fact, a number, a contrarian claim, or a named mistake. In our data the most common hook types the AI detects are surprise or reveal (20.6% of clips), numbers or money (12.1%) and contrarian claims (8.8%). Those show what appears in long-form speech, not proof of what performs, so test on your own audience. ### Should a hook be a question? Usually not. Only 5.2% of the 1,749 hook titles our AI wrote end with a question mark, and 10.7% start with a question word. A question opens a loop that the clip has to close quickly. If the answer arrives late, viewers leave before it. Use a question only when the clip answers it within seconds. Otherwise state the stakes directly. ### Do I need text on screen for a hook? Not always. Add a hook title when the spoken opening needs context, for example when the speaker starts on setup. Skip it when the first sentence already lands. On ScaleReach, 36.1% of live clips carry an AI hook title in their first 3 seconds. Never let the title repeat the first spoken line word for word. ### Can AI write hooks for short videos? Yes, for finding and framing them. ScaleReach's AI picks where each clip starts, writes a 4 to 5 word hook title for the first 3 seconds, labels the hook techniques it detects and suggests one edit per clip. What AI can't do is predict which hook your audience will respond to. 82% of our scored clips land at 80 or above, which makes the score a sort order rather than a forecast. ## The bottom line A hook isn't a clever line you bolt onto a clip. It's mostly a decision about where the clip starts. Find the payoff sentence, start on it, end right after it, and you've done most of the work. On-screen text is the second layer. Use about 4 words that name a specific stake, show them for the first 3 seconds, and only when the spoken opening needs help. Then let the viewed-versus-swiped-away number in your analytics tell you whether it worked, because no score can tell you in advance, ours included. Every ScaleReach number here comes from our production database and is dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** First published. Hook-title, hook-label and edit-suggestion figures were measured from ScaleReach's production database on 1 October 2026, across 4,843 live clips from 770 videos. Hook-type shares are keyword counts on free-text AI labels. The 82% score figure is from our 27 July 2026 pipeline measurement of 7,101 clips. TikTok and YouTube guidance was read from their own help pages on 1 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** whether the hook-title spec changes from 4 to 5 words and 30 characters; whether the share of clips with a hook title moves off 36.1%; whether TikTok or YouTube change their published guidance on the first seconds of a video. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips, each starting on the strongest line it can find and framed with a short hook title. The figures in this post come from ScaleReach's own production database, dated where they are cited.* --- # How to Make a Subway Surfers Split-Screen Video (2026) URL: https://www.scalereach.ai/blog/how-to-make-a-subway-surfers-split-screen-video Published: 2026-09-30 · Author: Hevin K Tags: Short-Form Video, TikTok, YouTube Shorts, Workflow A Subway Surfers split-screen video is a vertical 9:16 short with your clip in the top half and gameplay running in the bottom half. At the standard 50/50 split, each half is 1080 × 960 pixels. Our own data shows how settled that layout is: of the 90 videos ScaleReach users have processed in split-screen mode, 88 used an even 50/50 split. Disclosure: ScaleReach makes a [Subway Surfers split-screen generator](/tools/subway-surfers-video-generator-tool/), so weigh the bias. Every ScaleReach figure below comes from a read-only query of our production database on 30 September 2026. The mechanics come from our own rendering code, not a brochure. The one external claim, YouTube's monetization rules, is quoted from YouTube's own help page. ## The short answer > **Stack two videos in a 1080 × 1920 frame.** Your clip goes on top, gameplay goes underneath, and each half is cropped to fill its space. Only your clip's audio plays. > > **Keep the split at 50/50 unless you have a reason not to.** Give the top half more room only when the speaker's face or on-screen text needs it. > > **Keep the clip shorter than the gameplay loop.** Our loops run 74 to 90 seconds. A longer clip replays the same run, and viewers notice. > > **Bottom line:** the layout is easy. The real decision is whether the top half is *your* content. YouTube's monetization rules reward original content, and gameplay stacked under someone else's clip is the textbook case of what they don't reward. ## What is a Subway Surfers split-screen video? It's a short-form format with two layers stacked vertically. The top half carries the message: a podcast moment, a Reddit story read aloud, a movie scene, a study fact. The bottom half plays continuous, cut-free gameplay, usually Subway Surfers, Minecraft parkour or GTA driving, or "satisfying" footage like soap cutting. People also call it "brainrot" editing. The reasoning behind it is simple. The audio carries all the meaning, so the bottom half only has to supply constant motion that doesn't compete with the words. Gameplay with no story of its own does exactly that. What nobody publishes, us included, is controlled data showing that the gameplay layer raises retention. You'll see that claim on almost every page selling the format. We don't have a measurement that proves it, so this post doesn't make the claim. ## How to put Subway Surfers under a video (manual method) Any editor with layers can do this. Here is the process in editor-agnostic terms: 1. **Start a 1080 × 1920 project.** That's 9:16 vertical, the frame TikTok, Reels and Shorts are built around. 2. **Put your clip on the top layer and scale it to fill the top 1080 × 960.** Scale until it covers the whole area, then crop the overflow. Don't letterbox it. If your source is landscape, keep the speaker in the kept area; [the face-tracking problem](/blog/convert-landscape-video-to-vertical/) is the same here as in a full-frame reframe. 3. **Put the gameplay on the layer below, filling the bottom 1080 × 960.** Same rule: scale to cover, then crop. 4. **Mute the gameplay.** Only your clip's audio should play. 5. **Trim everything to your clip's length.** If the gameplay is shorter than your clip, you'll have to loop it, and that's where the repeat becomes visible. 6. **Add captions near the seam between the two halves.** That's where they sit in the render shown further down, so neither half covers them. 7. **Export as MP4 at 1080 × 1920.** It works, but you repeat all seven steps for every clip. That's fine for one or two shorts a week. It becomes the job itself if you're cutting a whole episode. ## What split ratio should a split-screen video use? Use 50/50. It's the default in our renderer and the choice almost everyone makes. 88 of the 90 split-screen videos in our data used it. The other two used 45/55. | Split (top/bottom) | Top half | Bottom half | When to use it | |---|---|---|---| | 50/50 | 1080 × 960 | 1080 × 960 | The default. Works for most talking and story content | | 60/40 | 1080 × 1152 | 1080 × 768 | The speaker's face or on-screen text needs more room | | 40/60 | 1080 × 768 | 1080 × 1152 | Narration-only content where the top is mostly captions | Our renderer accepts anything from 30/70 to 70/30. Past about 60/40 in either direction, one half gets cramped enough to defeat the point of the layout. ## How long should a split-screen clip be? Keep it under the length of your gameplay loop, which in practice means under about 80 to 90 seconds. Our background library has 27 loops, and here is how long they actually run: | Background | Loops | Length | |---|---|---| | GTA 5 | 12 | 74–90 seconds (average 88) | | Minecraft parkour | 7 | 90 seconds each | | ASMR / satisfying | 5 | 90 seconds each | | Subway Surfers | 3 | 80–90 seconds (average 87) | Source: ScaleReach background library, measured 30 September 2026. A clip that runs past its loop shows the same gameplay run twice. In our data, split-screen clips run a median of **44 seconds**, 84.4% are 60 seconds or shorter, and 93.7% are 90 seconds or shorter. That leaves about 6% long enough to outrun even our longest loop. Split-screen clips also skew shorter than everything else we render: 84.4% are one minute or less, against 71.9% for ordinary clips. For platform-by-platform length targets, see [how long a clip should run on TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/). ## How do you make a split-screen video automatically? With a clip tool that does the stacking for you. Here is what ScaleReach's renderer does, straight from the code: - **It places your clip on top and the gameplay underneath**, scaling each to cover its own half and cropping the overflow. Neither half is stretched. - **It plays your clip's audio only.** The gameplay is always silent. - **It varies the gameplay between clips.** If a loop is at least twice as long as your clip, it starts from a random point. If the loop is shorter than your clip, it loops. So two clips from the same episode don't open on the same frame of gameplay. - **It picks the background for you**, either from loops you select or at random from the 27-loop library. - **It caps split-screen output at 1080p**, even on plans that export 4K otherwise. 1080 × 1920 is the resolution the platforms play anyway. The workflow is: paste a YouTube link or upload a file, turn on split screen, pick a ratio and background, and every clip the AI finds comes out already stacked, captioned and scored. In the app, split screen is on the Starter plan ($12/month, or $10/month billed annually), Pro and Agency; the Free plan shows an upgrade prompt. Current figures are on the [pricing page](/pricing/). ![ScaleReach clips view for a split-screen video: a 45-second vertical 1080 by 1920 clip with the original footage in the top half, Minecraft parkour gameplay in the bottom half, captions on the seam, virality score 98](/blog/split-screen-clips-grid.webp "A split-screen clip from a YouTube video: source footage on top, gameplay underneath, captions on the seam. This one drew a Minecraft parkour loop at random. Captured from ScaleReach on 30 September 2026.") The same layout works with any loop, which is why we also run [Minecraft parkour](/tools/minecraft-video-generator-tool/) and [ASMR](/tools/asmr-video-generator-tool/) versions of this tool. Subway Surfers is the best known of the four, not the only option. For the Minecraft version, including text-to-parkour generators and Mojang's rules on gameplay footage, see [how to make Minecraft parkour videos](/blog/how-to-make-minecraft-parkour-videos/). ## Can you monetize Subway Surfers split-screen videos on YouTube? Only if the top half is genuinely yours, or transformed enough that it counts as yours. YouTube's [channel monetization policies](https://support.google.com/youtube/answer/1311392) describe reused content as content repurposed "without adding significant original commentary, substantive modifications, or educational or entertainment value". Among the examples of what isn't allowed to monetize, the page lists "short videos you compiled from other social media websites." Two more lines from the same page matter for this format: - **Templates count against you.** Since 15 July 2025 YouTube calls this "inauthentic content". The page says generic content "includes content that looks like it's made with a template." A channel of identical gameplay-under-clip shorts looks like a template by design. - **The review covers the whole channel, not one video.** Reused content "applies to your channel as a whole", so one weak format can cost monetization on everything. The same page also says what *is* fine. It lists "edited footage from other creators where you add a storyline and commentary", and "a Short that puts your own personalized spin on a trend." So the safe version of this format is your own recording on top: your podcast, your commentary, your story. Gameplay is a presentation layer on top of that. It isn't a substitute for it. Monetization rules are separate from copyright, and YouTube says so explicitly. TikTok and Instagram apply their own originality rules to reposts, which we covered in [how to repost a video without getting flagged](/blog/repost-youtube-video-tiktok-without-getting-flagged/). ## Who should use the split-screen format? It suits faceless accounts, storytime and Reddit narration, study facts, and podcast clips aimed at a younger TikTok audience. It suits a personal brand, a B2B account or anything on LinkedIn badly. The format reads as low-effort to exactly the audience those accounts are trying to impress. Our own users treat it as a niche, not a default. Only **90 of 1,931** videos (4.7%) were processed with split screen on, by three users, almost all of it between February and mid-May 2026. The other 95% of our clips are ordinary full-frame vertical clips. If you're unsure, clip an episode both ways and post both. The format that fits your audience will show up in your own analytics faster than in anyone's blog post, this one included. ## FAQ ### How do I put Subway Surfers under a video? Make a 1080 × 1920 vertical project and put your clip on the top layer, scaled to fill the top 1080 × 960. Put Subway Surfers gameplay on the layer below, filling the bottom 1080 × 960. Mute the gameplay, trim both to your clip's length, add captions near the seam and export as MP4. A split-screen generator does the same stacking automatically for every clip it finds in a long video. ### What is the best split ratio for a split-screen video? 50/50, giving each half 1080 × 960 pixels. It's the default in our renderer, and 88 of the 90 split-screen videos processed on ScaleReach used it. Give the top half more room, around 60/40, when the speaker's face or on-screen text needs it. Past about 60/40 in either direction, one half becomes too cramped to work. ### How long should a Subway Surfers split-screen video be? Shorter than the gameplay loop, which in practice means under about 80 to 90 seconds. Our Subway Surfers loops run 80 to 90 seconds and the whole 27-loop library tops out at 90, so a longer clip shows the same gameplay twice. Split-screen clips on ScaleReach run a median of 44 seconds, and 84.4% are a minute or less. ### Can I monetize split-screen brainrot videos on YouTube? Only if the content is substantially yours. YouTube's monetization policies exclude reused content without "significant original commentary, substantive modifications, or educational or entertainment value", and they flag content that looks template-made. Gameplay stacked under someone else's clip is the risky case. Your own podcast or commentary with gameplay underneath is the safer one, because the top half is original. ### Is there a free Subway Surfers video generator? ScaleReach's free plan gives you 100 minutes of AI clipping, but split-screen backgrounds start on the Starter plan, at $12/month or $10/month billed annually. The manual method in any layered video editor costs nothing but time. Expect to repeat seven steps for every clip. ### Does it have to be Subway Surfers gameplay? No. The format works with any continuous, cut-free footage that doesn't compete with your audio. Our library has 27 loops: 12 GTA 5 driving, 7 Minecraft parkour, 5 ASMR or satisfying clips and 3 Subway Surfers. Subway Surfers is the best known, but the bottom half only needs steady motion with no story of its own. ## The bottom line The layout takes seconds to describe: your clip on top, gameplay below, 50/50, 1080 × 1920, the clip's audio only, and shorter than the loop. The manual method works in any editor. A generator does it for every clip in one pass. The decision that matters is what goes in the top half. Put your own recording there and the gameplay is a harmless attention layer. Put someone else's clip there and you're building exactly the channel YouTube's reused-content and template rules are written to demonetize. Every ScaleReach number here comes from our production database and rendering code, dated where it's cited. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **14 October 2026 correction.** On 13 October the app opened split screen to the Starter plan, so the 12 October correction below no longer holds. Both mentions say Starter again, with Starter's prices ($12/month, or $10/month billed annually). **12 October 2026 correction.** This post said split screen starts on the Starter plan. In the app it had needed Pro or Agency since 9 May 2026: Free and Starter users saw an upgrade prompt. Both mentions then said Pro, with Pro's prices. We also added a link to our Minecraft parkour guide. **September 2026 update.** First published. Split-screen usage (90 of 1,931 videos, 88 at 50/50), clip lengths (median 44 seconds, 84.4% at 60 seconds or less) and the 27-loop background library were measured from ScaleReach's production database on 30 September 2026. The rendering behaviour (stacking, audio, loop and offset handling, the 1080p cap) comes from our production compositor code as of that date. YouTube policy quotes were read from support.google.com/youtube/answer/1311392 on 30 September 2026. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether YouTube changes its reused- or inauthentic-content wording; whether the background library grows past 27 loops or past 90-second loop lengths; whether split-screen usage moves off 4.7% of videos. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips, including split-screen shorts with gameplay underneath. The figures in this post come from ScaleReach's own production database and rendering code, dated where they are cited.* --- # Which AI Clip Tools Auto-Post to TikTok, Reels and Shorts? URL: https://www.scalereach.ai/blog/auto-post-clips-to-tiktok-instagram-youtube Published: 2026-09-29 · Author: Hevin K Tags: Social Scheduler, AI Clip Maker, Comparison, TikTok, Short-Form Video Six of the eight AI clip tools I checked say they will post a clip to TikTok, Instagram Reels and YouTube Shorts for you. That part is easy to find. What most comparison tables leave out is what each platform does with the post when it arrives. TikTok restricts every post from an app it has not audited to private viewing. In our own production data, the one TikTok post that reached TikTok's API came back with exactly that error. Of 155 posts we attempted, 150 published, and none of them were on TikTok. Disclosure: I run ScaleReach, which is one of the eight tools, so weigh that. There are no affiliate links. Every competitor fact below comes from that vendor's own pricing page or help centre, read on 29 September 2026. I did not test the other seven schedulers hands-on for this post. Where a vendor's own pages contradict each other, I say so instead of picking one. Our own numbers come from a read-only query of our production database, run the same day. ## The 60-second verdict > **If you want one tool to clip and post to all three,** ScaleReach, Opus Clip, Vizard, Klap, Submagic and Riverside all list TikTok, Instagram and YouTube on their own pages. VEED says it does not post at all. Descript posts to regular YouTube but not to Shorts. > > **If you want scheduling, not just "post now",** check the plan. Opus Clip Starter can only post immediately; scheduling starts at Pro. Klap includes scheduling on every plan. > > **If TikTok is the platform that matters,** ask the vendor whether its TikTok app has passed TikTok's audit. An unaudited app can only publish private posts. ScaleReach's TikTok app has not passed that audit yet. > > **Bottom line:** "auto-posts to TikTok, Reels and Shorts" describes the tool. Whether the post goes public is decided by each platform's API rules. Test one real post per platform before you queue a month of clips. ## Which AI clipping tools auto-post to TikTok, Reels and Shorts? One row per tool. Each cell comes from a page the vendor controls, read 29 September 2026. | Tool | TikTok | Instagram | YouTube Shorts | Lowest plan that posts | Scheduling | Accounts | |---|---|---|---|---|---|---| | **ScaleReach** | Yes, private-only until TikTok's audit | Reels (professional accounts) | Yes | Starter | Starter and up | Starter 1, Pro 5, Agency unlimited | | **Opus Clip** | Yes, Feed or Inbox draft | Reels (Business or Creator) | Yes | Starter (post now only) | Pro and up | 6 on Pro, 12 with an add-on | | **Vizard** | Yes | Yes (Business or Creator) | Yes | Creator (Free connects 1 TikTok account) | Creator and up | Creator 6, Business 20 | | **Klap** | Yes | Yes | Yes (homepage) | Every paid plan | Every paid plan | Unlimited | | **Submagic** | Yes | Yes | Yes | Pro | Pro and up | Pro 1 per platform, Business 3 | | **Riverside** | Yes | Yes | Yes | Pro (publish) | Grow and up | Not verified | | **VEED** | No | No | No | — | No | — | | **Descript** | No | No | No, regular YouTube only | — | No | — | Sources, all verified 29 September 2026: ScaleReach [pricing](/pricing/) and our own app; Opus Clip's [social account FAQ](https://help.opus.pro/docs/article/9432410-social-account-faq), [TikTok guide](https://help.opus.pro/docs/article/how-to-post-to-tiktok) and [pricing](https://www.opus.pro/pricing); Vizard's [pricing](https://vizard.ai/pricing) and [connecting accounts](https://help.vizard.ai/en/articles/10367893-how-to-connect-your-social-media-accounts); Klap's [homepage](https://klap.app/) and [pricing](https://klap.app/pricing); Submagic's [publishing guide](https://care.submagic.co/en/article/how-to-publish-your-videos-using-submagic-1gh1328/) and [pricing](https://www.submagic.co/pricing); Riverside's [content planner](https://riverside.com/content-planner) and [pricing](https://riverside.com/pricing); VEED's [sharing help article](https://support.veed.io/en/articles/11029688-how-to-share-your-videos); Descript's [YouTube export help](https://help.descript.com/export-and-share/youtube). Prices are left out of this table on purpose. The [Opus Clip alternatives roundup](/blog/best-opus-clip-alternatives/) normalises them to cost per source minute, and repeating them here would add another copy that can go stale. What the table flattens, vendor by vendor: - **Opus Clip** has the widest platform list. Its scheduler covers YouTube, TikTok Feed, Instagram Reels, Facebook Pages, LinkedIn, X (beta), Pinterest, Threads and Bluesky. Two of its own pages disagree on that list, though, and one caps you at 6 accounts with no add-on mentioned. It says it cannot schedule Facebook Reels "due to a limitation by Meta". From 24 September 2026, each X post costs [3 credits instead of 1](https://help.opus.pro/docs/article/post-to-x). - **Vizard** publishes the most detailed limits page of the group. It [spells out](https://help.vizard.ai/en/articles/14631679-posting-limits-best-practices) a TikTok limit of 2 videos per minute across all accounts. YouTube channels cannot be connected with only "Manager" permission. LinkedIn has to be reauthorised every year. One Vizard page offers "Start Scheduling Free" while its pricing lists scheduling as a Creator feature. - **Klap** lists TikTok, YouTube, Instagram and LinkedIn on its homepage and includes unlimited social accounts on every plan. Its pricing page icons leave YouTube out, and Klap has no public help centre to settle it. - **Submagic**'s help centre, updated 5 September 2026, lists YouTube, TikTok, Facebook, Instagram, LinkedIn and X. Its scheduler landing page still says LinkedIn, Facebook and X are "coming soon". - **Riverside** splits the feature in two: posting straight to platforms starts on Pro, and calendar scheduling starts on Grow. Its live pricing page showed a "staging environment" banner when I read it, so re-check the tiers before you buy. - **VEED**'s help centre says it "requires users to manually upload exported videos to external platforms". One VEED marketing article claims direct publishing. I went with the help centre. - **Descript** exports straight to YouTube, but its own help page states "YouTube Shorts are not supported". ## What is the difference between "post now" and scheduling? "Post now" sends the clip the moment you click. Scheduling puts it on a calendar and sends it at a time you choose. The gap matters more than it sounds. The reason to automate is to queue a week of clips in one sitting, and a post-now-only plan brings back the daily manual step you were trying to remove. On Opus Clip the split sits at the plan boundary. Its FAQ says "For Starter plan users, you can only post real time posts", so scheduling starts at Pro. On ScaleReach, scheduling is included from Starter with one connected account, and the Free plan cannot connect accounts at all. On Riverside the split is Pro for publishing and Grow for scheduling. ## Why do auto-posted TikToks end up private? Usually because the app doing the posting has not passed TikTok's audit. Every third-party tool posts through TikTok's Content Posting API, and TikTok's developer docs set four rules that every tool inherits: - **Unaudited apps post privately.** "All content posted by unaudited clients will be restricted to private viewing mode" ([TikTok, Content Posting API](https://developers.tiktok.com/doc/content-posting-api-get-started)). Unaudited apps can also let no more than 5 users post in any 24-hour window. - **"Upload" is not "post".** TikTok has two flows. Direct Post publishes to the profile. Upload drops the video into the creator's TikTok inbox as a draft, and a person then has to open TikTok and finish the post. Opus Clip exposes both, as "Feed" and "Inbox". - **The creator must pick the privacy setting.** TikTok's [sharing guidelines](https://developers.tiktok.com/doc/content-sharing-guidelines) say users must choose the privacy level from a dropdown with no default value. A tool is not allowed to silently post as public. - **There is a daily cap you do not control.** Direct Post is limited to roughly 15 posts per creator account per day, and that cap is shared across every app posting to the account. Here is how that plays out for us. ScaleReach uses Direct Post, fetches the creator's settings first, and lets the creator choose privacy, all as TikTok requires. Our TikTok app is still unaudited. The only TikTok post in our live data that reached TikTok's API failed with the error code `unaudited_client_can_only_post_to_private_accounts`. Until the audit clears, a ScaleReach post to TikTok can only go to an account set to private. If TikTok is your main channel, download the clip and post it by hand for now. For the clip-making side, including clip length and the one-minute Creator Rewards rule, see [how to turn a long video into TikTok clips](/blog/how-to-make-tiktok-clips-from-long-videos/). TikTok's developer site blocks automated fetching, so I read these rules through a search index of TikTok's own pages rather than a live page load. Our production error log confirms the first rule independently. ## What do Instagram and YouTube require before a tool can post? Both platforms put their own gates in front of every scheduler. Most "my post never showed up" problems trace back to one of them. | Platform | Account a tool can post to | What quietly goes wrong | Daily limit | |---|---|---|---| | TikTok | Any account whose creator authorises the app | Unaudited apps publish privately; "Upload" mode leaves a draft in the inbox | About 15 Direct Posts per creator, shared across apps | | Instagram | Professional accounts only (Business or Creator) | Personal accounts cannot connect; expired login tokens fail the post | 100 API posts per 24 hours per Meta's guide; an older Meta reference page says 50 | | YouTube | A channel you own or fully manage | Uploads from an unverified API project are locked to private | 100 uploads a day per API project by default | Sources, verified 29 September 2026: [Meta's content publishing guide](https://developers.facebook.com/docs/instagram-platform/content-publishing/) and [media reference](https://developers.facebook.com/docs/instagram-platform/instagram-graph-api/reference/ig-user/media), YouTube's [videos.insert reference](https://developers.google.com/youtube/v3/docs/videos/insert) and [API getting-started page](https://developers.google.com/youtube/v3/getting-started), and TikTok's [developer docs](https://developers.tiktok.com/doc/content-sharing-guidelines). **Instagram.** Meta's publishing API works only with professional accounts, and Opus Clip and Vizard both repeat the rule in their help centres. Switch the account to Creator or Business in Instagram's settings before you connect it. Reels posted through the API can run from 3 seconds to 15 minutes and up to 300 MB, and Meta recommends 9:16. The daily limit is the one number Meta contradicts itself on. Its current guide says 100 API-published posts in a rolling 24 hours, while an older reference page still says 50. Vizard's help centre quotes 50. For a creator posting a few Reels a day, neither number is close. **YouTube.** Two rules decide whether a clip becomes a public Short. First, YouTube's API reference says every video uploaded "from unverified API projects created after 28 July 2020 will be restricted to private viewing mode." Second, YouTube [classifies a video as a Short](https://support.google.com/youtube/answer/15424877) when it is square or vertical and up to three minutes long. Opus Clip and Vizard both repeat the three-minute rule in their own help pages. The quota is less obvious. The default allowance is 100 uploads a day per API project. That is the tool's whole allocation, shared across all its users, not yours, so larger tools have to apply to YouTube for more. ## What happened when we auto-posted 155 clips? This is ScaleReach's own publishing record, from a read-only query of our production database on 29 September 2026. It covers every post record still in the database, created between 4 April and 1 September 2026, across 5 workspaces. | Platform | Posted | Failed | Cancelled | What the failures were | |---|---|---|---|---| | YouTube Shorts | 109 | 2 | 8 | YouTube returned no upload URL | | Instagram Reels | 40 | 1 | 1 | Expired login token | | Threads | 1 | 1 | 0 | A bug on our side | | TikTok | 0 | 1 | 1 | `unaudited_client_can_only_post_to_private_accounts` | That is 150 published out of 155 attempted, or 96.8%. The other 11 records were cancelled by the user or are still pending. All five failures came from our own workspace. Timing held up well. Across the 120 posts that were scheduled for a set time, the median post went out under 10 seconds after its slot, and 90% went out within a minute. ![ScaleReach Social Scheduler posts list showing clips published to YouTube Shorts on 1 September 2026 in hourly slots, with filter counts of 24 posted, 5 failed and 1 pending](/blog/auto-post-posts-list.webp "One afternoon's queue: clips scheduled an hour apart to YouTube Shorts, each marked Posted with a link to the live post. Captured from ScaleReach on 29 September 2026.") Three caveats, stated plainly: - **The sample is small.** It is five workspaces. YouTube and Instagram are well exercised. Threads has two attempts and TikTok has none that succeeded. Facebook Pages and LinkedIn can be connected, but no live post record is on either, so treat both as unproven. - **The table undercounts.** A post record is deleted along with its clip when the clip expires under our storage policy, so older posts drop out. These are the records still present, not an all-time total. - **X is not live.** The integration exists in our backend, but the app shows it as "Coming Soon" and you cannot connect an X account yet. The expired-token failure is the one most worth planning for, because every platform does it. Login tokens expire. When one does, a retry cannot fix it; you have to reconnect the account. Our scheduler now marks the account expired, stops offering it for new posts, and fails the post with a message telling you to reconnect, instead of retrying into the same error. ![ScaleReach connected accounts screen listing TikTok, YouTube Shorts, Facebook, Threads and Instagram accounts, with two flagged Expired, a warning banner and Reconnect buttons, and the Pro plan limit of 5 accounts reached](/blog/auto-post-connected-accounts.webp "Expired connections are flagged at the account level with a Reconnect button, not left to fail silently. Captured from ScaleReach on 29 September 2026.") ## How to test a clip scheduler before you trust it Five checks, in the order they tend to bite: 1. **Ask where TikTok posts land.** Public feed, private, or a draft in the TikTok inbox. If the vendor cannot say whether its TikTok app has been audited, assume private. 2. **Check which plan schedules, not just which plan posts.** "Post to social" on a pricing page can mean post-now only. 3. **Count accounts against your channels.** One TikTok, one Instagram and one YouTube is already three accounts, which is past what some entry plans allow. 4. **Convert Instagram to a professional account first.** Otherwise the connection fails before any clip is involved. 5. **Send one real post per platform and check it on the platform itself.** Once the first post lands, the connection is proven. After that, the scheduler's status list is enough. Our [help guide on scheduling clips](/help/schedule-clips-to-social/) recommends the same habit. The check matters just as much if an AI assistant is doing the scheduling: the `schedule_post` tool in [ScaleReach's MCP server](/blog/clip-youtube-videos-with-claude-mcp/) accepts a TikTok account, so read the status back afterwards. Before you queue anything, check whether each clip fits where it is going. YouTube only counts square or vertical videos of up to three minutes as Shorts, and [the right length differs by platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/). ## FAQ ### Which AI clip tools auto-post to TikTok, Instagram Reels and YouTube Shorts? Six of the eight tools checked list all three on their own pages: ScaleReach, Opus Clip, Vizard, Klap, Submagic and Riverside. VEED's help centre says it has no direct posting, and Descript publishes to regular YouTube but states that Shorts are not supported. The plan you need differs. Klap schedules on every paid plan, Opus Clip schedules from Pro, Submagic publishes from Pro, and ScaleReach schedules from Starter. All of this was read from vendor pages on 29 September 2026. ### Why did my auto-posted TikTok video go private? Most likely the app that posted it has not passed TikTok's audit. TikTok restricts all content posted by unaudited apps to private viewing and caps them at 5 posting users per day. Two other causes: the tool used TikTok's Upload flow, which leaves a draft in your TikTok inbox to finish by hand, or "Only me" was selected as the privacy level. ScaleReach's own TikTok app is unaudited today, so its TikTok posts can only go to private accounts. ### Can I auto-post Reels to a personal Instagram account? No. Meta's publishing API only works with Instagram professional accounts, meaning Business or Creator, and every scheduler in this comparison inherits that rule. Switch the account type to Creator or Business in Instagram's settings, then connect it to the tool. Separately, login tokens expire, so an account that posted fine last month can fail until you reconnect it. That was the cause of our only Instagram failure. ### Do I need a paid plan to auto-post clips? Usually, yes. ScaleReach's Free plan cannot connect social accounts. Scheduling starts on Starter, at $12 a month or $10 a month billed annually, with one account. Opus Clip Starter can post immediately but cannot schedule until Pro. Vizard's Free plan connects a single TikTok account and lists scheduling as a Creator feature. Submagic publishing starts on Pro. Klap includes scheduling on every paid plan. ### How many clips can I auto-post per day? More than most creators need. TikTok caps Direct Post at roughly 15 posts per creator account per day, shared across every app. Meta's guide allows 100 API-published Instagram posts per 24 hours, although an older Meta page says 50. YouTube's default quota is 100 uploads a day per API project, which is shared across a tool's users. Tools add their own limits, such as Vizard's 2 TikTok videos per minute. ### Does ScaleReach auto-post to TikTok? Not publicly yet. ScaleReach connects to TikTok through its official Direct Post API, but our TikTok app has not passed TikTok's audit, so posts can only publish to private accounts. In our live data, no TikTok post has completed. Auto-posting is proven on YouTube Shorts (109 posts) and Instagram Reels (40 posts). For TikTok, download the clip and post it manually until the audit clears. ## The bottom line Most AI clip tools will now post for you, and the tables that compare them mostly stop at platform logos. The logos are the least informative part. What decides whether a clip goes public is set by the platforms: TikTok's audit, Instagram's professional-account rule, YouTube's API verification and Shorts definition. Then the plan decides whether you can actually schedule or only post now. So pick the tool on the platforms you actually post to. Then prove each connection with one real post before you queue a month of clips. On ours, that means YouTube Shorts and Instagram Reels are ready today and TikTok is not, which is the kind of thing a vendor should tell you before you pay rather than after. Every competitor fact here was read from the vendor's own page on 29 September 2026, and our own figures come from our production database on the same day. If one is wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **September 2026 update.** First published. Competitor posting features, plan tiers and account limits were read from each vendor's own pricing and help pages on 29 September 2026. Platform API rules come from TikTok's, Meta's and Google's developer documentation on the same date; TikTok's pages were read via a search index because the site blocks automated fetching. ScaleReach publishing figures come from a read-only production query on 29 September 2026 and replace the 27 July 2026 figures cited on our scheduler tool page. The two sets differ because post records are deleted when their clips expire. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether ScaleReach's TikTok app passes TikTok's audit; whether X moves from "Coming Soon" to live; whether Meta settles the 100 versus 50 Instagram limit; whether Submagic, Klap or Riverside resolve the contradictions noted above. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos into captioned vertical clips and schedules them to YouTube Shorts, Instagram Reels and other platforms. The publishing figures in this post come from ScaleReach's own production database, dated where they are cited, including the ones that don't flatter us.* --- # How to Convert Landscape Video to Vertical Without Cutting Faces URL: https://www.scalereach.ai/blog/convert-landscape-video-to-vertical Published: 2026-09-28 · Author: Hevin K Tags: Short-Form Video, AI Clip Maker, Vertical Video, Content Repurposing Almost every video that goes into an AI clip maker is landscape, and almost everything that has to come out is vertical. In our own pipeline, 1,212 of the last 1,224 source videos were pulled from a YouTube link, which means 16:9, filmed wide, and 96% of the 7,101 clips we produced from them shipped as 9:16 vertical. The hard part is the reframe in the middle: cropping a wide frame down to a tall one without slicing the speaker off the side. These are ScaleReach's own numbers, measured on 27 July 2026 from our production database. This post explains how our auto-reframe, which we call smart crop, keeps a person in frame when it converts a landscape video to vertical: the actual algorithm, the layouts it picks for one, two, or more people, and the cases where it genuinely can't help. ScaleReach is an AI clip maker, so weigh the bias yourself. The mechanics below come from our own source code, not a brochure. ## The short answer > **Don't center-crop. A fixed crop down the middle of a 16:9 frame throws away about two-thirds of its width, and the speaker is rarely dead center, so that is exactly how heads get cut off.** > > **Track the face instead.** Good auto-reframe detects the face every fraction of a second and moves the crop to follow it, keeping the head near the top of the vertical frame where it belongs. > > **More than one person needs a different layout, not a wider crop.** Two speakers stack into two panels; a screen-share splits screen-on-top, face-on-bottom. One tall crop can't hold two people who are sitting apart. > > **Bottom line:** converting landscape to vertical is a face-tracking problem, not a resize. Do it by hand for one clip; use a tool that tracks the subject once you are doing it at volume. ## Why the clip has to be vertical in the first place Every major short-form surface is built for a full-screen vertical frame, and anything else gets letterboxed or cropped by the platform anyway. | Platform | Native format | Notes | |---|---|---| | TikTok | 9:16, 1080×1920 | The ratio the For You feed is built around | | Instagram Reels | 9:16, 1080×1920 | Only 9:16 fills the screen without padding | | YouTube Shorts | Vertical, up to 3 min | Uploads are vertical, max 1080p | Source: [YouTube's own Shorts help page](https://support.google.com/youtube/answer/10059070) (verified 28 September 2026) for the Shorts figures; TikTok and Reels specs are the platforms' widely published 1080×1920 recommendation. So a 16:9 recording that looks fine on YouTube is the wrong shape everywhere a short lives. If you post it as-is, the platform shrinks it into a letterboxed strip in the middle of the screen, and a letterboxed clip in a vertical feed reads as "not made for here." The clip has to become 9:16, which means something has to decide what to keep and what to crop away. ## Why the naive crop cuts the speaker off A 16:9 frame is 1,920 pixels wide. A 9:16 slice of it, at the full height of the frame, is only about 608 pixels wide. So converting to vertical means picking which ~608 of those 1,920 columns to keep and throwing the other two-thirds away, in every single frame. The lazy way to choose that slice is to take the middle and never move it. That works only if your subject sits in the exact center of the frame and never shifts. Real footage doesn't cooperate: an interview subject sits camera-left, a presenter drifts to a slide on the right, two podcast guests are on opposite sides of the table. Center-crop all of them and you get a shoulder, half a face, or an empty chair while the speaker talks off-screen. This is the single most common reason a reframed clip looks broken. The fix is to move that slice so the person stays inside it. That is the whole job of face tracking. ## How auto-reframe keeps the speaker in frame Our smart crop reframes a landscape clip to 9:16 by finding the face and following it. Here is what actually happens under the hood. - **It detects faces with [Google's MediaPipe BlazeFace](https://ai.google.dev/edge/mediapipe/solutions/vision/face_detector) model,** sampling the video every 0.2 seconds (every 0.1 seconds on clips under 30 seconds). A detection has to clear a 50% confidence bar to count, and detection runs on a downscaled 480p copy of the frame, which is plenty for locating a face and much faster than full resolution. - **It centers on the eyes and nose, not the middle of the box.** The crop targets a blend weighted toward the nose and eye line rather than the geometric center of the detection rectangle, so the framing sits on the face rather than the chin or chest. - **It leaves head room.** The face is placed about 20% down from the top of the vertical frame, the way a human editor frames a talking head, instead of dead center with empty space above the head. - **It holds still, then glides.** The tracker locks the crop in place while the face stays inside a release band (roughly 8% of the frame width), so small leans, head-sway, and shoulder shifts produce zero camera movement. Only a real, sustained move unlocks a smooth glide, and a speaker switch or scene cut past a larger threshold triggers an instant hard cut. A final two-pass smoothing step with eased interpolation removes the pixel-level jitter that makes cheap auto-crop look nervous. - **It doesn't chase gestures.** If the face is bouncing back and forth, which is what waving hands and laughing look like to a detector, the tracker recognizes the oscillation and suppresses the pan instead of swinging the frame around. The result is a vertical clip where the speaker stays put and the camera only moves when it should. Below is a single-speaker lecture, filmed wide for YouTube, reframed to a 1080×1920 vertical clip with the speaker held in frame and captioned. ![ScaleReach clips view showing a landscape YouTube lecture reframed into a vertical 1080 by 1920 clip with the single speaker centered and captioned, virality score 98](/blog/reframe-single-speaker-clips-grid.webp "A landscape YouTube talk auto-reframed to a vertical 1080×1920 clip, speaker kept in frame. Captured from ScaleReach on 28 September 2026.") ## What happens with two speakers, or five? You cannot keep two people who sit three feet apart inside one tall crop. So the reframe stops trying to crop and switches layout based on how many faces it sees and where they are. | People on screen | What the reframe does | |---|---| | One speaker | Tracks the face and follows it, head near the top | | Two speakers | Stacks them, each speaker in their own panel, one above the other | | Three | A larger panel for the main speaker on top, two stacked below | | Four | A 2×2 grid, one speaker per cell | | Five or more | Letterboxes the whole frame so nobody is cropped out | | Screen + webcam | Splits the frame: screen on top, tracked webcam face on the bottom | | No face at all | Keeps the full frame with a slight zoom instead of guessing a crop | | Already vertical | Skips reframing entirely | Within a single clip it can switch between these as the shot changes, so a single-camera intro that cuts to a two-shot gets tracked first and stacked second. Here is the two-speaker case: a landscape podcast reframed into a vertical stacked layout, each speaker in their own panel instead of one being cropped out of the shot. ![ScaleReach reframe editor showing a two-person podcast converted into a vertical 9:16 stacked layout, one speaker in the top panel and the other below](/blog/reframe-two-speaker-split.webp "A two-speaker podcast becomes a vertical stacked layout, so neither speaker gets cropped away. Captured from ScaleReach on 28 September 2026.") For a multi-speaker recording, there is a second question worth asking of any tool: does it track *faces* or the *active speaker*? Ours does both. When more than one person is on screen, it runs [pyannote speaker diarization](https://huggingface.co/pyannote/speaker-diarization-3.1) on the audio to work out who is talking, then points the framing at that person. On a single-speaker clip it skips diarization entirely, because there is nobody to disambiguate and it saves roughly two minutes of processing. We compare how the major tools handle this in our [feature-by-feature breakdown of face and speaker tracking](/blog/ai-clip-maker-feature-comparison/). A different vertical stack, with your clip on top and gameplay underneath, is a presentation choice rather than a reframe. That one is covered in [how to put Subway Surfers under a video](/blog/how-to-make-a-subway-surfers-split-screen-video/). ## When auto-reframe can't help, and what it does instead Being honest about the limits matters more than pretending there are none. - **No face, no tracking.** On b-roll, slides, product shots, or a wide landscape with no clear face, there is nothing to follow. Rather than guess a crop and get it wrong, the reframe keeps the whole frame and applies a slight 1.25× zoom. If detection fails outright, it falls back to a plain center crop so the clip still renders. For courses and webinars taught from slides, the fix is at recording time: keep your camera on, as covered in [how to record coaching videos that clip well](/blog/turn-coaching-videos-into-short-clips/). - **Silent gameplay and screen recordings lose the most.** Footage where the "subject" is a minimap, a scoreboard, or a block of code has no face and doesn't survive a vertical crop cleanly. A split screen-plus-webcam layout rescues tutorials with a talking head in the corner, but pure gameplay with no camera is the weakest case for any auto-reframe, ours included. If your source is a stream, see [how to clip a Twitch stream for TikTok](/blog/turn-twitch-stream-into-tiktok-clips/) for the facecam layout in practice. - **Fast crosstalk can mis-assign.** In a heated multi-person moment where two people talk over each other, the active-speaker guess is occasionally wrong for a beat. This is why the reframe is editable: you can override the crop rather than re-run the whole job. - **Already-vertical clips are left alone.** If the source is already portrait, reframing would only degrade it, so the pipeline detects that and skips the step. ## How to convert a landscape video to vertical, step by step If you are doing one clip by hand in an editor, the manual version is: add your 16:9 footage to a 1080×1920 timeline, then keyframe the horizontal position so the crop follows the speaker across the clip. It works, and it is tedious, roughly the same keyframing for every clip you cut. The faster path, especially once you are making more than a couple of clips from one recording: 1. **Start from the landscape source.** Upload the 16:9 file or paste the YouTube link. You don't need to pre-crop anything. 2. **Pick 9:16.** It is the default target, since that is what 96% of clips end up as. 3. **Let it track the speaker.** Auto-reframe finds and follows the face; for a multi-person recording it picks the stacked or grid layout for you. 4. **Spot-check the busy moments.** Scrub to the parts with gestures, cutaways, or two people, which is where any auto-crop is most likely to need a nudge, and adjust the crop there if you want. 5. **Caption and export at 1080×1920.** Burned-in captions plus the vertical frame are what the platforms reward. You can do all of this in the [AI video reframe tool](/tools/ai-video-reframe-tool/). Once the clip is vertical, the rest of the workflow, [how many clips one recording yields](/blog/how-many-clips-from-a-one-hour-podcast/) and [how long each one should run per platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/), is a separate decision, and both are covered elsewhere. ## FAQ ### How do I turn a landscape video into a vertical video without cutting off the speaker? Track the face instead of cropping the center. A fixed center crop keeps the middle 1080 pixels of a 1920-wide frame and discards the rest, so any speaker who is not dead center gets clipped. Auto-reframe detects the face several times a second and moves the crop to follow it, keeping the head near the top of the vertical frame. For two or more people it switches to a stacked or split layout so nobody is cropped out. ### What is auto-reframe, or smart crop? Auto-reframe converts a wide 16:9 video into a tall 9:16 one by choosing which part of each frame to keep. Instead of a fixed crop, it detects the subject, usually a face, and repositions the crop over time so the subject stays in frame. Our version uses face detection every 0.2 seconds, places the head about 20% from the top, and smooths the movement so the framing holds still and only glides on real motion. ### Does converting 16:9 to 9:16 lose video quality? You lose frame area, and how sharp the result looks depends on your source resolution. A 9:16 crop keeps only about a third of a 16:9 frame's width. From a 4K source there are more than enough pixels left to fill a crisp 1080×1920 clip; from a 1080p source that slice has to be scaled up, so it softens slightly. Either way, what you trade is field of view, which is exactly why keeping the crop on the speaker matters so much. ### What happens to a two-person podcast when you reframe it vertically? The two speakers stack into two panels, one above the other, so both stay visible instead of one being cropped away. The reframe detects that there are two faces sitting apart and, when audio is available, uses speaker diarization to keep the framing sensible. Recordings with three or four people get a grid layout, and five or more are letterboxed so the whole scene is preserved. ### What aspect ratio should a short-form clip be? 9:16 vertical, exported at 1080×1920. That is the native format for TikTok, Instagram Reels, and YouTube Shorts, and the only ratio that fills the screen without padding. In our data 96% of all clips are 9:16, with about 1% square (1:1) and 1% left in 16:9 for the rare landscape use case. Unless you have a specific reason, reframe to 9:16. ### Can auto-reframe handle gameplay or screen recordings? Partly. A tutorial or demo with a webcam face in the corner reframes well: the layout splits into the screen on top and the tracked face on the bottom. Pure gameplay or a screen recording with no face is the hardest case, because there is no subject to follow, so the reframe keeps the full frame with a light zoom rather than cropping blindly. Screen-heavy footage is where a vertical crop loses the most. ## The bottom line Converting landscape to vertical is not a resize, it is a decision about what to keep in every frame. Center-cropping makes that decision badly and cuts people off. Tracking the face makes it the way an editor would, and switching layouts for two or more speakers solves the case a single crop physically can't. For one clip, keyframe it by hand. For a week's worth of clips from one recording, that is an hour of tedium a tool does in one pass, which is the whole reason auto-reframe exists. Get the vertical frame right first, and everything downstream, captions, scheduling, the platform's own crop, has something clean to work with. Every number here comes from our own pipeline and is dated in the text. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **September 2026 update.** First published. Aspect-ratio distribution (96% 9:16 across 7,101 clips) and the landscape-source share (1,212 of 1,224 videos from YouTube) are from ScaleReach pipeline data measured 27 July 2026. The reframe mechanics (face detection cadence, head placement, layout modes, speaker diarization) are described from our production smart-crop source as of this date. Platform specs verified against the vendors' pages on 28 September 2026. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether the 9:16 share moves off 96% on the next pipeline re-measurement; whether the layout set (single, dual, triple, quad, group, screen-plus-facecam) changes; whether any platform changes its recommended resolution or aspect ratio. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long landscape videos and podcasts into scored, captioned vertical clips. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited, so you can judge them directly.* --- # How Many Clips Can You Get From a One-Hour Podcast? URL: https://www.scalereach.ai/blog/how-many-clips-from-a-one-hour-podcast Published: 2026-09-27 · Author: Hevin K Tags: Content Repurposing, Podcast, Short-Form Video, AI Clip Maker Upload a one-hour podcast episode to an AI clip maker and you will usually get back somewhere between 8 and 20 short clips, not the dozens the category likes to imply. That range is not a guess. It comes from our own pipeline, where we measured 7,101 clips generated from 1,224 source videos, then read the live numbers again on 27 September 2026 to check them against real one-hour episodes. These are ScaleReach's own numbers, from our production database and source code rather than a marketing page, so you can weigh the bias for yourself. The point of this post is not to sell you a plan. It is to set a realistic expectation before you upload, because "how many clips will I actually get" is the question every podcaster asks and almost nobody answers with data. ## The short answer > **A typical one-hour episode returns high single digits to the low twenties.** In our data the average for a straightforward hour sits near 8 to 10 clips, and a fast, topic-dense interview pushes it into the high teens or low twenties. > > **The "dozens of clips" figure is really a multi-hour number.** Our own average for everything over 60 minutes is 18 clips, but that bucket is dominated by two and three-hour podcasts. A tight 60 minutes sits at the bottom of it. > > **Density matters more than length once you are near an hour.** How much distinct, quotable material the hour contains moves the count more than a few extra minutes of runtime. > > **Bottom line:** plan for roughly a dozen clips from a one-hour episode. That is about two weeks of daily posting, or a month if you post every other day, from a single recording. ## What counts as a "clip" here? A clip in this post is one AI-detected moment that the pipeline cut, [reframed to vertical](/blog/convert-landscape-video-to-vertical/), captioned, and returned ready to post. It is not a rough candidate or a timestamp suggestion. Every clip counted below is a finished, downloadable short with a virality score attached. That definition matters because it is where tools quietly disagree. Some count detected moments before you cut them, some count only what you export, and some cap the number at your plan tier. When we say a 65-minute interview produced 21 clips, we mean 21 finished vertical clips sitting in the library, each one you could download and post as-is. ## How we measured this Two sources, both first-party, both dated. - **The corpus.** 1,224 source videos and the 7,101 clips they produced, measured on 27 July 2026. This is the same dataset our [clip generator tool page](/tools/ai-video-clip-generator/) and [cost breakdown](/blog/cost-to-clip-10-hours-of-podcast-per-month/) cite, so the numbers here agree with the rest of the site. - **A live re-read.** On 27 September 2026 we queried the production database again for real episodes near the one-hour mark and their exact clip counts, to confirm the July averages still hold and to pull the concrete examples you see below. One honest caveat about the live numbers. Clips are deleted on a schedule once they age out, so the raw average clip count for older videos in the database understates what those videos originally produced. Every figure below is drawn from either the 27 July measurement, taken when the clips were fresh, or from recent episodes whose clips are still intact. We did not publish a deflated live average as if it were the true yield. ## So how many clips from one hour, really? Clip yield scales with source length. Here is the full ladder from the July measurement, so you can see where an hour falls. | Source length | Average clips per video | |---|---| | Under 5 min | 2.9 | | 5 to 15 min | 4.3 | | 15 to 30 min | 5.4 | | 30 to 60 min | 7.5 | | Over 60 min | 18.0 | Source: ScaleReach pipeline data, 1,224 videos and 7,101 clips, measured 27 July 2026. Notice the jump from 7.5 to 18 as you cross the hour mark. That looks like an hour of runtime suddenly doubles your output, and it does not. The "over 60 min" bucket is mostly two and three-hour podcasts, and those long shows pull the average up hard. A source sitting right at 60 minutes behaves much more like the top of the 30-to-60 band than like the 18-clip average. Real episodes make this concrete. These are four actual videos from a ScaleReach workspace, with their clip counts read on 27 September 2026. | Episode | Length | Clips produced | |---|---|---| | A self-worth interview (Damini Grover) | 66 min | 9 | | NVIDIA CEO Jensen Huang interview | 63 min | 16 | | Sam Altman on GPT-5 | 65 min | 21 | | Joe Rogan Experience #2464 | 2 hr 25 min | 61 | Three of those are within five minutes of each other in length and range from 9 to 21 clips. That spread, from the same one-hour runtime, is the real answer: expect a dozen or so, and know that the exact number depends on the episode, not the clock. ![ScaleReach clips view for a 66-minute podcast episode titled Beyond Achievement, showing the top clip The Two Voices Holding You Back with a virality score of 92](/blog/clips-from-one-hour-episode.webp "A straightforward 66-minute interview produced 9 clips. Captured from ScaleReach on 27 September 2026.") ## Why do some one-hour episodes produce three times as many? Because the pipeline cuts on distinct, self-contained moments, and some hours simply hold more of them. Two recordings of identical length can yield 9 and 21 clips for reasons that have nothing to do with the runtime. - **Topic density.** An interview that moves through fifteen sharp questions gives the detector fifteen natural clip boundaries. A slow, single-thread conversation gives it far fewer. - **Quotability.** Strong hooks, clean one-liners, and stories with a beginning and an end score higher and survive as clips. Rambling stretches get skipped. - **Structure.** Panels, rapid Q&A, and reaction segments cut into more clips than a monologue, where the good material is buried in longer passages. - **Dead air.** Intros, sponsor reads, and tangents are not clip material, and a chatty hour with ten minutes of setup effectively has fifty minutes of clippable content. The 65-minute Sam Altman interview below returned 21 clips because it is fast and packed with distinct, quotable claims. The 66-minute episode above returned 9 because it is a slower, more reflective conversation. Same length, very different clip counts. ![ScaleReach clips view for a 65-minute Sam Altman interview, top clip A Kid Born Today Will Never Be Smarter Than AI scoring 96 and marked posted to Instagram and YouTube](/blog/clips-from-dense-hour-interview.webp "A faster, topic-dense 65-minute interview produced 21 clips from the same one-hour length. Captured 27 September 2026.") ## Does a longer episode just mean more clips? Roughly, yes, and this is where the "dozens" figure comes from. A two-hour show gives the detector twice the material of a one-hour show, so it lands near twice the clips. Our biggest single upload, a 2-hour-25-minute Joe Rogan episode, produced 61 clips, the most from any one source in our library. ![ScaleReach clips view for the 2-hour-25-minute Joe Rogan Experience episode 2464, top clips scoring 98 and 97](/blog/clips-from-two-hour-episode.webp "Yield scales with length: a 2-hour-25-minute episode produced 61 clips, the most from any single upload in our library. Captured 27 September 2026.") So if a roundup tells you an AI clip tool makes "30-plus clips," read it as a claim about a long recording. It is true for a two or three-hour podcast and misleading for a one-hour one. When you are comparing tools, the honest unit is clips per source hour, not the biggest number a vendor can point to. We break the tools down that way in our [feature-by-feature comparison](/blog/ai-clip-maker-feature-comparison/). ## How far does a dozen clips actually go? Further than it sounds, because short-form is a cadence game, not a volume game. Our clips run a median of 42 seconds, so a dozen 40-second clips is roughly eight to nine minutes of finished vertical video from one hour of source. At a realistic posting rhythm, that one recording covers: | Clips from the episode | Posting 3x per week | Posting daily | |---|---|---| | 9 clips | 3 weeks | 9 days | | 12 clips | 4 weeks | 12 days | | 20 clips | ~7 weeks | 3 weeks | One weekly one-hour episode, clipped, is enough to post most days without ever running dry. What you do with those clips is a separate skill, and we cover placement in [how to grow a podcast with short clips](/blog/how-to-grow-a-podcast-with-short-clips/) and length-per-platform in [podcast clip length on TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/). The clips also come back fast. In our data, sources over 30 minutes finished processing in a median of about five and a half minutes, so a one-hour episode is clipped and captioned before your coffee is cold. ## FAQ ### How many clips can you get from a one-hour podcast? Usually 8 to 20 finished clips. In our first-party data a straightforward one-hour episode averages high single digits, and a fast, topic-dense interview reaches the high teens or low twenties. Real one-hour episodes in our library produced 9, 16, and 21 clips. The exact number depends on how much distinct, quotable material the hour contains, not on the runtime alone. ### Why do people say AI makes 30 or more clips from a podcast? Because that figure describes a long recording, not a one-hour one. Clip yield scales with length, so a two or three-hour podcast lands near 30 to 60 clips. Our own average for everything over 60 minutes is 18 clips, but that number is pulled up by multi-hour shows. A tight 60-minute episode sits at the bottom of that bucket, closer to a dozen. ### What makes one episode produce more clips than another? Density and structure. An interview with many sharp, self-contained questions gives the detector more natural clip boundaries than a slow, single-topic conversation. Strong hooks and clean stories survive as clips; rambling stretches, intros, and sponsor reads do not. Two recordings of identical length can produce 9 and 21 clips for this reason alone. ### How long are the clips from a one-hour podcast? They run a median of 42 seconds and an average of 46.7 seconds across 7,101 clips, with a floor of 5 seconds and a ceiling of about 3 minutes. That length fits YouTube Shorts, Reels, and TikTok without trimming, so a dozen clips is roughly eight to nine minutes of ready-to-post vertical video from one hour of source. ### Can I clip a full one-hour podcast on the free plan? Not in one upload. The ScaleReach free tier includes 100 minutes a month but caps a single upload at 30 minutes, so a full hour needs a paid plan or has to be split in two. On a paid plan a 60-minute episode costs 60 source minutes, which fits comfortably inside Starter's 200 monthly minutes. See our [pricing](/pricing/) for the current tiers. ### How long does it take to clip a one-hour episode? About five to six minutes of processing. In our data, sources over 30 minutes finished in a median of roughly five and a half minutes from job start to clips ready. The clips come back reframed to vertical, captioned, and scored, so the wait is for finished shorts rather than raw candidates you still have to edit. ## The bottom line Plan for about a dozen clips from a one-hour podcast. High single digits if it is a slow, reflective conversation, the high teens or low twenties if it is a fast, topic-dense interview. The dozens-of-clips numbers you see quoted are real, but they belong to two and three-hour recordings, and reading them as a one-hour figure will leave you disappointed. The more useful way to think about it: one weekly hour-long episode, clipped, gives you enough 40-second shorts to post most days of the week without repeating yourself. The bottleneck was never how many clips you can make from an hour. It is what you do with them after. Every number here comes from our own pipeline and is dated in the text. If one looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **September 2026 update.** First published. Clip-yield ladder and clip-length figures from ScaleReach pipeline data measured 27 July 2026 (1,224 videos, 7,101 clips); real one-hour episode examples and clip counts read from the production database on 27 September 2026. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether the clip-yield-by-length ladder shifts on the next pipeline re-measurement; whether the median clip length moves off 42 seconds; whether the free-tier per-upload cap (currently 30 minutes) changes. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that turns long videos and podcasts into scored, captioned vertical clips. The figures in this post come from ScaleReach's own production database and source code, dated where they are cited, so you can judge them directly.* --- # How Accurate Is the Opus Clip Virality Score? URL: https://www.scalereach.ai/blog/how-accurate-is-the-opus-clip-virality-score Published: 2026-09-26 · Author: Hevin K Tags: Opus Clip, Virality Score, AI Clip Maker, Short-Form Video Every clip Opus Clip produces arrives with a number stamped on it, and the number is almost always high. That is the first thing to understand about the Virality Score: across our own pipeline of 7,101 generated clips, 82% scored 80 or above. A metric where four in five items clear the "high" bar is a good way to sort a pile of clips and a poor way to predict which one will actually get views. Disclosure: I run ScaleReach, which competes with Opus Clip and also assigns every clip a virality score. There is no affiliate relationship. Every Opus Clip fact below is quoted from a page Opus Clip controls, read on 2026-09-26 and linked, and the ScaleReach figures come from our own production database and source code so you can weigh the bias for yourself. ## The 60-second verdict > **Trust it to rank a batch.** Used to order a review queue, the score reliably floats stronger moments toward the top. That is genuinely useful when the alternative is watching thirty clips at 1x. > > **Do not trust it to predict views.** No public calibration ties an Opus Clip score to real-world performance. A 90 is not a 90% chance of going viral, and scores cluster so tightly near the top that the gap between an 88 and a 94 tells you very little. > > **Do not trust it outside talking-head content.** The score reads spoken-word signals, so it misses visual-only humor and silent gameplay. Opus Clip's own developer docs tell you to lower your threshold for anything that is not a person talking. > > **Bottom line:** treat the Virality Score as a queue, not a verdict. Watch the top few, read the reasoning it shows you, and let your own judgement decide what to post. ## What is the Opus Clip Virality Score? The Virality Score is a per-clip number Opus Clip assigns to predict how likely each clip is to go viral, shown next to every clip so you can rank them against each other. Per Opus Clip's own help centre: - It **ranges from 0 to 99**, higher meaning a greater predicted chance of engagement and shares. - Clips are **sorted by score, highest first, by default** on the results page. - It is **available only on the Pro and Starter plans**. Free-plan users cannot see it at all. - You can view it in both grid and list layouts. Source: [help.opus.pro — What is the Virality Score on OpusClip?](https://help.opus.pro/docs/article/virality-score) (verified 2026-09-26). One small inconsistency worth flagging, because it is a live example of how these numbers get copied rather than checked: Opus Clip's dedicated help article says the scale is **0 to 99**, but Opus Clip's own [developer API blog](https://www.opus.pro/blog/viral-moment-detection-api) and several of its marketing pages describe a **0 to 100** scale. When a vendor's own surfaces disagree by a point, the dedicated documentation is the one to quote. We use 0 to 99. We wrote about the same mismatch when we compared [scoring across six clip tools](/blog/ai-clip-maker-feature-comparison/). ## How is the Virality Score calculated? Opus Clip publishes the four things its AI evaluates, which is more than most tools in this category disclose. From the same help article: | Factor | What Opus Clip says it checks | |---|---| | **Hook** | Does the introduction grab attention and relate directly to the main topic? | | **Flow** | Does the video move logically from one part to the next, with a satisfying conclusion? | | **Value** | Does it offer value, resonate emotionally, and create a personal connection? | | **Trend** | Is it aligned with current trends and audience interests? | On top of those four, when you use the ClipAnything model Opus Clip also checks whether a clip is relevant to your prompt. What it does **not** publish is the weighting between the four factors or the training data behind the "Trend" judgement, so the exact recipe stays private. A useful outside observation: in a hands-on write-up, [Marc Andrews found each of the four components is shown per clip as a letter grade](https://marcandrews.com/opusclip-virality-score-what-it-measures/) rather than folded invisibly into one number. On his top clip all four graded A; on a clip two points lower, three graded A and Trend came in at A-minus. The components genuinely move, which is a point in the score's favour. ## So how accurate is it, really? Here is the honest answer in one line: the Virality Score is a well-built **ranking** signal and an **unproven predictor of views**. Those are two different claims and the distinction is the whole point. **It ranks clips sensibly.** Everyone who has used it, us included, sees the same pattern: high-scored clips beat low-scored clips on average. That makes it a legitimate triage tool. **But the scores bunch at the top, which caps how much a high number can tell you.** This is the part no marketing page mentions, and it is the easiest thing for us to show with our own data rather than assert. Below is the clip list for a single Joe Rogan episode we ran through ScaleReach. Of the 61 clips it produced, 55 scored 80 or higher, and none scored below 70. ![ScaleReach clip list for a Joe Rogan podcast episode, each clip showing a virality score of 97 or 98 beside its title and transcript](/blog/opus-virality-score-clip-grid.webp "One episode, 61 clips, and the visible scores are 97 and 98. Captured 2026-09-26.") When almost every clip lands in the high band, the score stops discriminating where it matters most. "Post the 98 over the 88" is a much weaker instruction than the two-point gap makes it feel. This is not unique to us. Marc Andrews' 21 clips from one talk ran from 98 "down into the eighties." Bunching near the top appears to be how these models behave in general. **There is no public calibration.** A score of 90 is not a 90% chance of anything. As one analysis of AI virality scores puts it, [dividing a score by its maximum does not establish a probability](https://loopdesk.ai/blog/ai-virality-scores-explained) — you would need the provider to define the success event and demonstrate calibration against real outcomes, and no clip tool publishes that. Opus Clip's developer docs do make a stronger claim for the API version of the model: that a score of 70+ predicts above-median performance "roughly 75% of the time on talking-head content." That is a vendor claim on a marketing page, it is explicitly limited to talking-head content, and it describes above-median performance, not views. **Nobody has published a proper tracked test, including us.** The most careful independent write-up ran a single video and, by the author's own admission, published no clips and therefore measured no real performance. Small "accuracy tests" that post ten clips and eyeball the result exist, but ten clips cannot establish accuracy in any rigorous sense. So be sceptical of any page, this one included, that hands you a tidy accuracy percentage. ## Where the score is blind The Virality Score reads the transcript and the spoken delivery. That is why it works on podcasts and interviews and struggles elsewhere. - **Visual-only humor.** If something funny happens on screen and nobody comments on it, the score cannot see it. - **Silent gameplay and screen-shares.** Gaming highlights and demos carry their value in the picture, not the words, and the score reads that as a flat clip. Our own [Opus Clip review](/blog/opus-clip-review/) documents the same weakness, and it is a limitation we share on gameplay footage. Our [numbers from the first Twitch streams we clipped](/blog/turn-twitch-stream-into-tiktok-clips/) show how sharply clip counts fall when a streamer stops talking. - **Non-talking-head content in general.** Opus Clip's developer guidance is blunt about it: for b-roll, music, or animation, lower your score threshold by 10 to 15 points, because the same model scores them lower for reasons that have nothing to do with quality. ## How to actually use a virality score Treat it as a queue, not a filter. The recommended workflow, which matches how we tell ScaleReach users to work, is short: 1. **Sort by score and watch the top few.** That is what the ranking is good for. In our own library the score is the default sort key for exactly this reason. 2. **Read the reasoning before you dismiss a low scorer.** Both tools show a written explanation next to the number; twice in Marc Andrews' run a clip in the eighties was the better fit for a specific point than one in the nineties. 3. **Never let the score gate publishing.** A low number is a suggestion to look harder, not an instruction to bin the clip. Opus Clip hands you every clip regardless of score, and so do we. 4. **Drop your expectations for anything that is not talking-head.** ![ScaleReach All Clips library sorted by Viral Score, with the top two clips scoring 100 and 99](/blog/opus-virality-score-library-sorted.webp "Sort by score to build a review queue. The top of the list is a 100 and a 99, which is exactly why the number is better at ordering than at deciding.") ## Does ScaleReach's virality score work any differently? Not fundamentally, and I would rather say so than pretend otherwise. Since I can read our own schema instead of our marketing, here is what is actually stored with each ScaleReach clip: a `score` from 0 to 100, a written `viralityReason`, an `improvementSuggestion` (a viewer-perspective edit to push a clip toward 96+, left empty once a clip already scores 96 or higher), a `hooks` array, an `emotions` array, and a list of recommended platforms. The library sorts on the score by default, the same as Opus Clip. And our scores bunch in exactly the same way Opus Clip's do. The honest figure, measured across 7,101 clips on 27 July 2026, is that 82% scored 80 or above. A quirk that makes the point sharper: our scale is meant to top out at 100, yet a handful of clips have come back scoring slightly above 100, which is a bug rather than a category and a fair reminder that the number is a heuristic, not physics. We would rather publish that than round it away. For the same reason, we say on every relevant page that our score is a sort key, not a verdict. For a feature-by-feature look at how the scores differ across tools, see our [AI clip maker feature comparison](/blog/ai-clip-maker-feature-comparison/). ## FAQ ### How accurate is the Opus Clip Virality Score? It is reliable for ranking and unproven for prediction. Higher-scored clips beat lower-scored clips on average, so the score is a legitimate way to decide what to review first. But no public calibration ties an Opus Clip score to real view counts, and the scores cluster near the top, so a high number is common and does not promise a hit. Use it to triage a batch, not to forecast how a single clip will perform. ### What does the Opus Clip Virality Score measure? Opus Clip's help centre lists four factors: Hook (does the opening grab attention and relate to the topic), Flow (does it move logically to a satisfying conclusion), Value (does it resonate and offer something useful), and Trend (is it aligned with current interests). When you use the ClipAnything model it also checks the clip against your prompt. The exact weighting between the four is not published. ### Is the Opus Clip Virality Score out of 100 or 99? Opus Clip's own dedicated help article says the scale runs 0 to 99. Confusingly, its developer API blog and some of its marketing pages describe a 0 to 100 scale. When a vendor's surfaces disagree, the dedicated documentation is the one to trust, so the answer is 0 to 99. It is a small thing that shows how often these figures get copied between pages rather than read off the source. ### Does a high virality score mean a clip will go viral? No. In our own pipeline 82% of 7,101 clips scored 80 or above, so a high score is the normal case rather than a signal of a guaranteed hit. Views depend on your posting time, your audience, the platform, the thumbnail, and luck, none of which a pre-publish score can see. A high score means the clip is worth reviewing first, not that it will perform. ### Why do so many clips get high virality scores? Because the models are tuned to talking-head and podcast content, and a well-structured spoken clip hits most of the factors the score rewards. The result is a distribution that bunches near the top. When most items clear the "high" threshold, the metric loses its ability to finely separate the best clip from the third-best, which is why it works better as a rough sort than as a precise ranking. ### Should I trust the virality score for gaming or tutorials? Be cautious. The score reads the transcript and spoken delivery, so it misses visual-only humor, silent gameplay, and the value in a screen-share demo. Opus Clip's own developer guidance says to lower your score threshold by 10 to 15 points for non-talking-head content. For gaming and tutorials specifically, the score correlates poorly with what actually performs, so lean on your own judgement. ## The bottom line The Opus Clip Virality Score is a competent, transparent ranking tool. It shows its four components, it shows the transcript and source timestamps so you can audit any decision, and used as a sort key it floats the strongest moments to the top of a long list. That is a real service when you have thirty clips and time to watch three. What it is not is a prediction of views. There is no published calibration, the scores bunch so tightly that the top band is crowded, and the model is close to deaf to anything that is not a person talking. Our own numbers say the same thing about our own score, which is why we treat it as triage rather than truth. Sort by it, watch the top few, read the reasoning, and then trust yourself. You know your audience; the model only knows the transcript. If the score is part of why you are weighing a switch, the [Opus Clip alternatives ranked by price](/blog/best-opus-clip-alternatives/) compare the rest of each plan. --- ## Changelog **September 2026 update.** First published. Opus Clip facts verified against help.opus.pro on 2026-09-26; ScaleReach score distribution from production pipeline data measured 27 July 2026. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether Opus Clip reconciles the 0-99 versus 0-100 discrepancy across its own pages; whether it ever publishes a calibration or accuracy figure; the four scoring factors and the Pro/Starter gate; whether ScaleReach changes its 0-100 scale or fixes the above-100 scoring bug. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that assigns every clip a 0-100 virality score. Opus Clip is a competitor and there is no affiliate relationship. Every Opus Clip fact here is quoted from a page Opus Clip controls, with the page linked and the date it was read, and the ScaleReach figures come from our own database and source so you can judge the bias directly.* --- # How to Cancel Opus Clip: Steps, Refunds & the 3-Day Rule URL: https://www.scalereach.ai/blog/how-to-cancel-opus-clip Published: 2026-09-26 · Author: Hevin K Tags: Opus Clip, Pricing, Short-Form Video Opus Clip's own cancellation screen carries a warning most people click past: **after 3 days, your projects won't be accessible anymore.** That is not a review complaint or a Reddit rumour, it is the text Opus Clip shows you while you cancel. It means the order of operations matters — download first, cancel second — and it is the single thing worth knowing before you touch the subscription page. Disclosure: I run ScaleReach, which competes with Opus Clip. No affiliate relationship. Every Opus Clip fact below is quoted from Opus Clip's own help centre, read on 2026-09-26, with the page linked so you can check it. Where its documentation contradicts itself I say so rather than picking the answer that suits me. This post is about the **mechanics** — cancelling, downgrading, refunds, and the traps. What happens to your leftover credits is a separate and genuinely messier question, and we covered it in [do Opus Clip credits expire](/blog/do-opus-clip-credits-expire/). I am not going to re-decide it here, because Opus Clip's own pages disagree on that point. ## The 60-second verdict > **Download your clips before you cancel.** The cancel flow states projects become inaccessible after 3 days. > > **Cancelling is not the same as downgrading, deleting, or refunding.** Four different actions, four different outcomes, and the help centre documents them on four separate pages. > > **If you subscribed in the iOS app, you cannot cancel inside Opus Clip at all.** Apple owns the subscription, the cancellation, and the refund. > > **There is no pause.** Opus Clip states plainly that it does not offer one; the workaround is cancel and resubscribe later. > > **Bottom line:** the cancellation itself is a two-click job from the Crown icon on the dashboard. Everything that goes wrong around it comes from four confusions — project access expiring in 3 days, refunds being per-project rather than per-subscription, App Store subscriptions living outside Opus Clip, and account deletion being blocked while a subscription is active. ## How do I cancel my Opus Clip subscription? On the web, from the subscription page: 1. Open your Opus Clip **Dashboard** 2. Click the **Crown icon** in the bottom-left sidebar (this opens the subscription page, also reachable directly at `clip.opus.pro/subscription`) 3. Choose to cancel Opus Clip states that "any changes will take effect at the start of the next billing cycle", so you keep paid access until the current cycle ends rather than losing it the moment you click. Source: [help.opus.pro Plans](https://help.opus.pro/docs/article/plans-and-credits) (verified 2026-09-26). Before you confirm, the flow tells you what you are giving up — more credits, the virality score, and watermark-free exports. The watermark one is the one people underestimate: everything you export afterwards on the free tier carries it. ## What happens to your projects when you cancel? This is the part that costs people work, and the number comes from Opus Clip's own cancel screen: **after 3 days, your projects won't be accessible anymore.** Read that as a deadline, not a grace period. Three days after cancelling, the projects you built are gone from reach, and the clips you never downloaded go with them. So the order matters: 1. **Download everything first.** Every clip you might want, at the quality you want it, before you cancel. Opus Clip has a bulk download feature; use it. 2. **Then cancel.** Doing it the other way round gives you a 72-hour scramble. Our own [30-day Opus Clip review](/blog/opus-clip-review/) logged Reddit and Trustpilot reports of projects becoming read-only or inaccessible after a subscription lapsed. Those reports were directionally right, and the help centre puts a number on it. For how long Opus Clip keeps files on each plan and how deletion works, see [our Opus Clip privacy and data retention check](/blog/opus-clip-privacy-and-data-retention/). Worth contrasting honestly, because it is a real difference in design rather than a marketing line: on ScaleReach, cancelling leaves the workspace and its contents intact — you keep access to clips you already made and simply stop receiving new minutes when the cycle ends. That is documented in our own [plans and billing help article](/help/plans-and-billing/). Different products can reasonably make different calls here, but if you are mid-project the 3-day rule is the one to plan around. ## Can you get a refund from Opus Clip? Mostly not at the subscription level, and this is where the word "refund" misleads. Opus Clip's documented refund feature refunds **credits for one project**, not money for your plan. **Project refund** — credits back for a single upload: - **Pro users only** - Only if you have **not downloaded any clip** from that project - Via the **three-dot menu (⋯)** at the top right of the clip preview page → **Refund this project** → leave feedback - Available for up to **14 days** after the initial upload - Once you download a clip, the option is gone Source: [help.opus.pro Refunding a Project](https://help.opus.pro/docs/article/can-i-reprocess-a-project) (verified 2026-09-26). **Deleting a project is not a refund.** Opus Clip is explicit: when you delete a project, credits allocated or used on it "will not be refunded or added back", which it frames as encouraging careful planning. So deleting a bad project to reclaim its minutes does the opposite of what you want — refund it instead, if you still qualify. Source: [help.opus.pro delete-project refunds](https://help.opus.pro/docs/article/delete-project-refund) (verified 2026-09-26). For money back on the subscription itself, there is no self-serve path documented in the help centre for web subscribers. App Store subscribers have one, and it is Apple's — see below. The exception is the automatic proration Apple applies on an in-app upgrade. ## How do I cancel if I subscribed through the App Store? If you subscribed through the iOS App Store, Opus Clip states that **all** subscription management — downgrades, cancellations, renewals and refunds — is handled directly by Apple. Cancelling inside Opus Clip is not the route. | Action | Where you do it | When it takes effect | |---|---|---| | Cancel | iPhone Settings → Apple ID → Subscriptions → OpusClip → Cancel Subscription | End of current billing cycle | | Downgrade | Same path → See All Plans → lower tier | End of current cycle, reversible until then | | Upgrade | Inside the OpusClip app → Subscription → Upgrade | Immediately, with an Apple prorated refund on the old plan | | Refund | [reportaproblem.apple.com](https://reportaproblem.apple.com/) | Apple decides, not Opus Clip | | Re-subscribe | Settings → Subscriptions → Renew | — | Source: [help.opus.pro Manage subscription through IAP](https://help.opus.pro/docs/article/manage-subscription-iap) (verified 2026-09-26). Two App Store limits worth knowing before you commit to that route. Apple allows **one subscription per app per Apple ID**, so you cannot use the same Apple ID to subscribe again for a second Opus Clip account — you would subscribe on the web app for that one. And the iOS app supports purchasing only **one pack**; if you need more, Opus Clip's instruction is to cancel the App Store subscription and resubscribe on the web. ## Should you downgrade instead of cancel? Often yes, and the rules are specific enough to matter. | Change | Allowed? | Takes effect | |---|---|---| | Pro **Monthly** → Starter | Yes, via "Change plan" | End of current billing cycle | | Pro **Yearly** → Starter | No. Cancel first, then resubscribe on Starter | — | | Reduce pack count | Yes, via "Add or remove packs/seats" | End of current billing cycle | | Paid → Free | Only if you have **under 30 minutes** of credits left | **Immediately** | Source: [help.opus.pro Plans](https://help.opus.pro/docs/article/plans-and-credits) and [Upgrade & Downgrade](https://help.opus.pro/docs/article/7285187-credit-related-questions) (verified 2026-09-26). Two of those rows are counterintuitive. **The Pro Yearly dead end.** You can only downgrade Pro Monthly to Starter, because both are monthly plan types. On Pro Yearly your only route to Starter is cancel-then-resubscribe, which drops you back through the cancellation flow and its 3-day project rule. **Downgrading to Free is gated and immediate.** Opus Clip blocks the move to Free unless you have fewer than 30 minutes of credits remaining, and it says so directly: if you have more than 30 minutes and want to stop paying, cancel instead. Unlike every other downgrade, this one applies immediately and you lose paid features at once. You do get 60 free minutes straight away, and your exports start carrying a watermark. ## Can you pause an Opus Clip subscription? No. Opus Clip's answer is unambiguous: "at this time we do not offer the choice to pause your subscription." The suggested workaround is to cancel and start a new subscription when you return. Source: [help.opus.pro Can I Pause My Active Subscription?](https://help.opus.pro/docs/article/can-i-pause-my-active-subscription) (verified 2026-09-26). A **free trial** cannot be paused either, but it also does not bill you by surprise: Opus Clip states a Free Trial Pro Account **automatically converts to a Free Forever Account after 7 days**. That is worth stating plainly because the usual fear with trials is a silent charge on day 8, and per its own documentation that is not what happens here. Source: [help.opus.pro Pause or Cancel a Free Trial](https://help.opus.pro/docs/article/pause-or-cancel-a-free-trial) (verified 2026-09-26). For seasonal work — a podcast that runs in bursts, an agency between clients — the absence of a pause is a real cost. You either keep paying through the quiet months or cancel and re-enter through the 3-day project window each time. ## Two traps that look like billing bugs Both of these have dedicated help-centre articles, which is usually a sign of how often they come up. **"My account shows as Free but I'm being billed."** Almost always two email addresses rather than a billing fault. Your login email and your billing email can differ, so signing in with the billing address shows a Free account while the paid subscription sits under the login address. Check every address you might have signed up with before contacting support. Source: [help.opus.pro account shows as Free but billed](https://help.opus.pro/docs/article/free-account-getting-billed) (verified 2026-09-26). **Deleting your account will not stop your billing, and may not even work.** Account deletion lives under the profile button in the upper-left of the dashboard → your account → **Delete account** at the bottom, then a confirmation checklist. But Opus Clip warns that an active subscription "will prevent the team from deleting the account". So the order is cancel first, delete second — deleting is not a shortcut past the subscription. Source: [help.opus.pro delete your account](https://help.opus.pro/docs/article/deleting-your-opusclip-account) (verified 2026-09-26). ## The cancellation checklist Ten minutes of work, in this order. 1. **Bulk download every clip you want.** You have 3 days of project access after cancelling; do not rely on it. 2. **Screenshot your credit balance and renewal date.** Your evidence if a charge is disputed later. 3. **Check whether you subscribed on iOS.** If so, cancel in Apple's Settings, not in Opus Clip. 4. **Decide cancel versus downgrade.** If you still want some output, Starter or Free may beat cancelling outright — subject to the Pro Yearly and under-30-minutes rules above. 5. **Cancel, then delete the account if you want it gone.** Deletion is blocked while a subscription is active. On leftover credits, check [our credits post](/blog/do-opus-clip-credits-expire/) before you assume anything: one Opus Clip page says remaining credits expire at the end of your billing cycle when you cancel, another says credits keep their original expiry date. Those cannot both be true, and that disagreement sits exactly where your money is. Screenshot the balance and ask support in writing. ## FAQ ### How do I cancel my Opus Clip subscription? Open your Opus Clip dashboard, click the Crown icon in the bottom-left sidebar to reach the subscription page, and cancel from there. You can also go straight to clip.opus.pro/subscription. Opus Clip states changes take effect at the start of the next billing cycle, so you keep paid access until the current cycle ends. If you subscribed through the iOS App Store, you must cancel in Apple's Settings instead. ### Can I get a refund from Opus Clip? Opus Clip's documented refund returns credits for a single project, not money for your subscription. Pro users can refund a project within 14 days of upload via the three-dot menu on the clip preview page, but only if no clip from it has been downloaded. There is no self-serve subscription refund documented for web subscribers. App Store subscribers request refunds from Apple at reportaproblem.apple.com. ### What happens to my projects when I cancel Opus Clip? Opus Clip's cancellation screen states that after 3 days your projects will no longer be accessible. Download every clip you want before you cancel rather than after, because that window is short and it starts as soon as you confirm. You also lose the virality score and watermark-free exports immediately on dropping to the free tier. ### Can I pause my Opus Clip subscription instead of cancelling? No. Opus Clip states it does not offer subscription pausing, and suggests cancelling then resubscribing later. Free trials cannot be paused either, though a Free Trial Pro Account converts automatically to a Free Forever Account after 7 days rather than billing you. For seasonal workloads, the lack of a pause means repeatedly passing through the 3-day project-access window. ### Should I downgrade Opus Clip instead of cancelling? Often yes, but the rules are specific. Pro Monthly can change to Starter at the end of the billing cycle; Pro Yearly cannot, and has to cancel and resubscribe. Moving to the Free plan is blocked unless you have under 30 minutes of credits left, and unlike other downgrades it applies immediately, giving you 60 free minutes and putting a watermark on exports. ### Does deleting my Opus Clip account cancel my subscription? No, and it may fail outright. Opus Clip warns that an active subscription will prevent the account from being deleted. Cancel the subscription first, then delete the account from the profile button in the upper-left of the dashboard, via the Delete account button and its confirmation checklist. Deleting an account is also not a route to a refund. ## The bottom line Cancelling Opus Clip is genuinely easy — the Crown icon on the dashboard, two clicks, and access runs to the end of your cycle. What trips people up is everything adjacent to the cancel button. Projects become inaccessible after 3 days, so downloads come first. "Refund" in Opus Clip means credits for one project within 14 days of upload and before any download, not money back on a plan. App Store subscriptions are Apple's entirely, including the refund. There is no pause. And account deletion is blocked until the subscription is gone. If you are leaving because the per-minute credit maths stopped working on a long-form show, that is a plan-shape problem rather than a product one, and it is worth checking [what the same volume costs on other clip tools](/blog/best-opus-clip-alternatives/) before resubscribing to anything. If you are leaving because you wanted to stop for two months and come back, the missing pause is the thing that actually pushed you out. --- **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** the 3-day project-access window; the 14-day project refund limit and its Pro-only gate; whether subscription pausing ships; the under-30-minutes gate on downgrading to Free; the Pro Yearly to Starter restriction; App Store one-pack and one-subscription-per-Apple-ID limits; whether Opus Clip resolves the contradiction between its two pages on credits at cancellation. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an Opus Clip alternative where cancelling leaves your existing clips accessible. Every Opus Clip fact in this post is quoted from Opus Clip's own help centre with the page linked and the date it was read, and there is no affiliate relationship. Where its documentation contradicts itself, this post says so instead of resolving it in our favour.* --- # Is Opus Clip Worth It for Podcasters? (2026) URL: https://www.scalereach.ai/blog/is-opus-clip-worth-it-for-podcasters Published: 2026-09-25 · Author: Hevin K Tags: Opus Clip, Podcasting, Review, Pricing Opus Clip charges one credit for every minute of video you upload, and its $15 Starter plan gives you 150 credits a month. A weekly one-hour podcast is roughly 260 minutes of source a month, so Starter runs dry before you have clipped three episodes. That one fact — podcasts are long, and Opus Clip bills by the source minute — decides whether it is worth it for a podcaster, and it is the number most reviews skip. So this post does the math for a podcast specifically. It uses Opus Clip's own pricing and product pages for every Opus Clip figure, and our own production data for how many clips an episode actually produces. Disclosure: ScaleReach publishes this and makes a competing [AI clip generator](/tools/ai-video-clip-generator/). We did not pay for Opus Clip and have no affiliate relationship with it. Every Opus Clip number here was read off Opus Clip's own pages on 25 September 2026 and is dated below; every ScaleReach figure comes from our production pipeline or our public pricing. Where a claim is Opus Clip's own marketing rather than an independent fact, I say so. ## The 60-second verdict > **Buy if** you publish a weekly long-form podcast and want clipping, captions, scheduling, and editing in one tool — on the annual Pro plan, which is the only tier that holds a weekly show. > > **Try if** you post occasionally or bi-weekly. The free plan clips one hour-long episode a month, so you can judge the output before paying anything. > > **Skip if** you clip many hours of episodes a month. The per-minute credit model gets expensive fast, and Starter's 150 credits cannot hold a single weekly show. > > **Bottom line:** Opus Clip is a capable podcast-clipping tool, but for a podcaster the only realistic paid tier is Pro, and the deciding question is how many source minutes you feed it each month. ## What is Opus Clip, and what do podcasters use it for? Opus Clip is an AI tool that turns one long video into several short vertical clips. You give it an episode; it finds the moments most likely to travel and cuts them into captioned shorts for TikTok, Reels, and YouTube Shorts. For a podcaster, it does five jobs: - Picks high-potential moments out of a long recording and cuts them into clips. - Adds animated captions (Opus Clip claims 97% accuracy on its own site — that is their figure, not an independent test). - Reframes horizontal video to a vertical 9:16 with speaker tracking. - Scores each clip with a Virality Score, on paid plans only. - On Pro, schedules and posts the clips, and imports directly from Riverside, Zoom, StreamYard, and other tools podcasters record in. Opus Clip's own [podcaster page](https://www.opus.pro/business/podcaster) frames the pitch as "the fastest way to gain your next 1 million views from your podcast." That is the promise. The question is what it costs to keep making clips week after week. ## How much does Opus Clip cost for a podcast? Opus Clip meters **source minutes, not clips.** One credit equals one minute of the video you upload — Opus Clip's own copy describes the free plan as "60 minutes of video processing time" and the Pro trial as "90 minutes of video processing time (~30 downloadable clips)." A 60-minute episode costs 60 credits whether it yields 3 clips or 18. | Plan | Price | Credits per month | Source video that covers | |---|---|---|---| | Free | $0 | 60 | ~1 one-hour episode, watermarked | | Starter | $15/mo (monthly only) | 150 | ~2.5 hours | | Pro | $29/mo, or $14.50/mo billed annually ($174/yr) | 300 | ~5 hours | | Business | Custom | Custom | — | Source: opus.pro/pricing (verified 2026-09-25). Starter is billed monthly only — there is no annual Starter rate. Pro's unused credits roll over for two months. Because credits meter the footage you feed in, the honest way to read the price is per source minute: | Plan and billing | Effective cost per source minute | |---|---| | Opus Clip Starter (monthly) | $0.10 | | Opus Clip Pro (monthly) | ~$0.097 | | Opus Clip Pro (annual) | ~$0.05 | Source: derived from opus.pro/pricing figures (verified 2026-09-25). The monthly and annual Pro rates differ by nearly half, so which one you are quoted matters. ## Which Opus Clip plan does a weekly podcast actually need? Run the arithmetic against a real publishing cadence. A weekly one-hour show is about 4.3 episodes a month, or ~260 source minutes. - **Free (60 credits):** one hour-long episode, then you are out for the month. Clips carry a watermark, there is no Virality Score, output is 9:16 only, and clips stop being exportable after 3 days. Fine for a test, not for publishing. - **Starter (150 credits):** about two and a half hours of source — two to three episodes. It cannot hold a full month of a weekly show. It also has no scheduler, no Riverside import, and 9:16 output only. - **Pro (300 credits):** about five hours of source, so a weekly one-hour show fits with roughly 40 minutes to spare, and unused credits roll over for two months. Pro is where the scheduler, Riverside and Zoom import, prompt-based clipping, multiple aspect ratios, and 100GB of storage live. The conclusion a lot of "Opus Clip has a $15 plan" write-ups miss: **a weekly hour-long podcaster is a Pro user, not a Starter user.** That is $29/mo billed monthly, or $174/yr on annual billing. A bi-weekly show (about 120 minutes a month) fits Starter; a daily show is Business territory. ## What does Opus Clip do better than most clip tools for podcasters? A fair review names what the competitor does well, and Opus Clip does several things genuinely well for this use case. - **Prompt-based clipping.** Opus Clip's ClipAnything Co-Pilot (Pro) lets you describe the moment you want in plain language and search topics across the episode, instead of only accepting whatever the model surfaces. - **Direct import from the tools podcasters record in.** On Pro, you can pull straight from Riverside, Zoom, StreamYard, Loom, and more, rather than exporting and re-uploading. If you record in [Riverside](/blog/riverside-vs-scalereach/), that is one less step. - **Persistent storage.** Pro includes 100GB of fixed storage, so your clip library stays put rather than expiring on a timer. - **A real editing and enhancement stack.** AI B-Roll, video dubbing, AI voiceover, filler and pause removal, and export to Premiere Pro and DaVinci Resolve are all built in on Pro. - **Self-serve automation.** Pro exposes an API and an MCP connector, so a podcaster running an automated workflow can wire Opus Clip into it without a sales call. - **Credits roll over for two months.** A light publishing month is not simply lost. If you record in Riverside and want prompt-level control over which moments become clips, those are real reasons to pay. ## Where does Opus Clip fall short for podcasters? The weaknesses are also specific to long-form audio. - **Per-minute credits punish the longest format there is.** A podcast is usually the longest source anyone uploads, and you pay for every minute whether it clips well or not. Upload a rambling two-hour episode and you have spent 120 credits before you know if any of it lands. - **Starter cannot hold a weekly show, and has no annual discount.** With 150 credits and monthly-only billing, most weekly podcasters are pushed onto Pro whether they wanted the extra features or not. - **The free tier is a demo, not a workflow.** Watermark, no Virality Score, 9:16 only, and clips that stop being exportable after 3 days. - **A Virality Score is a sort key, not a verdict.** Opus Clip gates its score to paid plans and puts it front and centre; treat it as a way to decide which clips to review first. In our own pipeline, 82% of clips score 80 or above, which is a useful reminder that a bunched score orders your review queue rather than promising a hit. We dig into that in [how accurate the Opus Clip Virality Score really is](/blog/how-accurate-is-the-opus-clip-virality-score/). ## How many clips will one podcast episode give you? This is the supply side of the decision, and it is where our own data is useful. Across our production pipeline (measured 27 July 2026, 1,224 source videos and 7,101 clips), mean clips returned rises steeply with source length: | Source length | Videos measured | Mean clips returned | |---|---|---| | Under 5 min | 75 | 2.9 | | 5 to 15 min | 452 | 4.3 | | 15 to 30 min | 462 | 5.4 | | 30 to 60 min | 171 | 7.5 | | Over 60 min | 64 | 18.0 | Source: ScaleReach pipeline data, measured 27 July 2026. One hour-long episode averages 18 clips, running a median of 42 seconds each. Any per-minute clip tool, Opus Clip included, will produce a similar volume from the same source, because the raw material — the number of strong moments in an hour of talk — is the same. Which is exactly why the deciding factor between tools is not how many clips you get. It is what each source minute costs. ## Is Opus Clip worth it, or is a cheaper tool better for podcasters? Because both Opus Clip and ScaleReach meter the same unit — the source minute — they compare cleanly. Here is the tier a weekly hour-long podcaster actually needs on each, at annual billing: | | Opus Clip Pro | ScaleReach Pro | |---|---|---| | Annual price | $14.50/mo ($174/yr) | $12.50/mo ($150/yr) | | Source minutes per month | 300 | 400 | | Cost per source minute | ~$0.05 | ~$0.031 | | Aspect ratios | 9:16, 1:1, 16:9 | 9:16, 1:1, 16:9 | | Clip storage | 100GB, persistent | Deleted after 180 days (paid) | Source: opus.pro/pricing and scalereach.ai/pricing, both verified 2026-09-25. Read it honestly, both ways. ScaleReach Pro is cheaper per minute and includes 100 more minutes a month, which matters when your source is long. But Opus Clip keeps your clips permanently on Pro, where we hard-delete clips after 180 days on paid plans — if you want a lasting library inside the tool, that is a point for Opus Clip. And for a completely free trial with a *full* episode, Opus Clip's free tier accepts a 60-minute upload, while our free tier allows 100 minutes a month but caps a single upload at 30 minutes, so a full episode does not fit ours. We would rather state that than pretend our free tier wins for this case. So the verdict is conditional, not absolute. Opus Clip is worth it for a podcaster who is already in its ecosystem, records in Riverside, or wants prompt-based editing and a permanent library, and who will commit to annual Pro. If the deciding factor is cost per source minute at podcast volume, a per-minute tool priced lower — [ScaleReach](/pricing/) among them — will clip the same episodes for less. The [ranked list of Opus Clip alternatives](/blog/best-opus-clip-alternatives/) has the per-minute price for each. Either way, the mistake to avoid is budgeting for the $15 Starter plan: it does not hold a weekly show. For the placement side of the decision once you have the clips, see [how to grow a podcast with short clips](/blog/how-to-grow-a-podcast-with-short-clips/), and for the exact credit mechanics, [do Opus Clip credits expire](/blog/do-opus-clip-credits-expire/). ## FAQ ### Is Opus Clip worth it for podcasters? For a weekly long-form show, yes — but only on the annual Pro plan, and only if you value its ecosystem. Opus Clip meters source minutes, so a podcast burns credits fast: a weekly one-hour show needs ~260 minutes a month, which rules out the 150-credit Starter and points to Pro (300 credits, $14.50/mo billed annually). It is worth paying if you record in Riverside, want prompt-based clipping, or want a permanent clip library. If cost per source minute is your deciding factor, a cheaper per-minute tool will clip the same episodes for less. ### How much does Opus Clip cost for a weekly podcast? Plan on the Pro tier, not Starter. A weekly one-hour podcast is about 260 source minutes a month, and Starter's 150 credits cannot cover it. Pro includes 300 credits and costs $29/mo billed monthly, or $14.50/mo billed annually ($174/yr), per opus.pro/pricing (verified 2026-09-25). That works out to roughly $0.05 per source minute on annual billing, or about $0.097 on monthly billing. Unused Pro credits roll over for two months. ### How many Opus Clip credits does a podcast episode use? One credit per minute of the video you upload, regardless of how many clips come out. A 60-minute episode costs 60 credits whether it produces 3 clips or 18; a 90-minute episode costs 90. Opus Clip's own pages describe the free plan as "60 minutes of video processing time" and the Pro trial as "90 minutes of video processing time (~30 downloadable clips)," which confirms the meter is source minutes, not output. This is why long formats like podcasts consume credits quickly. ### Does Opus Clip's free plan work for podcasters? Only as a test. The free plan gives 60 credits a month, enough for one hour-long episode, and it accepts a full 60-minute upload. But clips carry a watermark, there is no Virality Score, output is 9:16 only, and clips stop being exportable after 3 days (opus.pro/pricing, verified 2026-09-25). That is fine for judging clip quality before you pay, and not enough to actually publish a show from. A weekly podcaster will need Pro. ### Is Opus Clip or ScaleReach better for podcasts? It depends on what you optimise for. Both charge per source minute, so they compare directly. At the Pro tier a weekly podcaster needs, ScaleReach is cheaper per minute (~$0.031 vs ~$0.05 on annual) and includes more minutes (400 vs 300). Opus Clip keeps clips permanently and imports directly from Riverside, where ScaleReach deletes clips after 180 days on paid plans and caps free uploads at 30 minutes. Pick Opus Clip for its ecosystem and storage; pick a lower per-minute tool if podcast-volume cost is the priority. ### How many clips will Opus Clip make from one podcast episode? It scales with episode length, and any per-minute clip tool lands in a similar range because the source is the same. In our pipeline data (27 July 2026), sources over 60 minutes averaged 18 clips each, 30-to-60-minute sources 7.5, and 15-to-30-minute sources 5.4, at a 42-second median length. So one hour-long episode is roughly a week of daily posting. Feed in the full episode rather than a pre-trimmed highlight — the model needs the whole conversation to hunt through. ## The bottom line Opus Clip is a genuinely capable podcast-clipping tool, and for a weekly show the honest recommendation is narrow: annual Pro, or nothing. The free plan is a one-episode demo, and the $15 Starter plan cannot hold a single week of a weekly show, so the tier that actually fits a podcaster is Pro at $14.50/mo billed annually. At that tier you get 300 source minutes, prompt-based clipping, Riverside import, a scheduler, and a permanent 100GB library — a real toolset if you live in that ecosystem. The catch is the one built into every per-minute clip tool: a podcast is the longest thing you will ever upload, so you pay for every minute of it. If you value Opus Clip's imports, editing stack, and persistent storage, it earns the Pro price. If your deciding factor is cost per source minute at the volume a real podcast generates, a cheaper per-minute tool clips the same episodes for less, and the clip yield will be about the same either way. Every Opus Clip figure here was read off Opus Clip's own pages on 25 September 2026 and is dated in the tables; every ScaleReach number comes from our production pipeline or our public [pricing](/pricing/). If one is wrong, tell us at hevin@scalereach.ai and we will fix it in the open. --- ## Changelog **September 2026.** First published. Opus Clip pricing and plan features verified against opus.pro/pricing and opus.pro/business/podcaster on 2026-09-25; the annual Pro rate ($14.50/mo, $174/yr) rendered on the pricing page and is quoted alongside the $29 monthly rate. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 --- # Do Opus Clip Credits Expire? What the Docs Actually Say URL: https://www.scalereach.ai/blog/do-opus-clip-credits-expire Published: 2026-09-24 · Author: Hevin K Tags: Pricing, Opus Clip, AI Clip Maker, Comparison Opus Clip credits expire **60 days** after you get them on a monthly plan. That part its help centre states consistently. What happens to those credits the moment you cancel is a different story: two Opus Clip help pages give directly opposite answers, and the one you land on decides whether you think you keep a month of rollover or lose it. Disclosure: I run ScaleReach, which competes with Opus Clip. There is no affiliate relationship and I earn nothing if you subscribe to either product. This post is a documentation audit, not a hands-on billing test — every quote below comes from a page Opus Clip controls, read on 2026-09-24, and where its pages conflict I say so rather than picking the answer that flatters us. ## The 60-second verdict > **Monthly plans:** credits last 60 days, so you effectively get one month of rollover. Consistent across every page. > > **Yearly plans:** credits are valid 12 months, but Opus Clip's own pages disagree on whether the full year arrives upfront or in twelve monthly grants. > > **If you cancel:** one page says remaining credits die at the end of your billing cycle, another says they keep their original expiry date even if that falls later. These cannot both be true. > > **Bottom line:** the expiry rules are knowable and mostly reasonable. The documentation is not consistent enough to plan a budget on, and the single place it contradicts itself hardest is cancellation — the exact moment money is at stake. Screenshot your balance before you touch the subscription page. ## What is an Opus Clip credit? A credit is one minute of the source video you import, not one clip you get out. Opus Clip's [credits article](https://help.opus.pro/docs/article/how-are-credits-consumed) states it plainly: "processing clips will cost 1 credit per minute of the original video imported." - A 30-minute video costs 30 credits, regardless of how many clips it produces. - Credits are charged at import, before you know whether the output is usable. - Posting to X costs an extra **1 credit per clip published**, on top of the processing cost. - The processing-timeframe slider bills only the range you select, so you can import a 3-hour stream and pay for 20 minutes of it. That last point is genuinely useful and under-advertised. If you already know which 20 minutes matter, dragging the slider is the single largest saving available on any credit-metered tool. ## How I checked this Six pages on `help.opus.pro`, the public pricing page, and the Terms of Service, all read on 2026-09-24. Nothing here is sourced from another blog post or a comparison article, because [the last time we trusted a secondhand Opus Clip number we published a wrong one and had to rewrite a verdict](/blog/opus-clip-review/). What I did **not** do: buy a yearly plan, cancel a live paid subscription, or let credits sit unused past day 60. So I can tell you exactly what Opus Clip's documentation claims, and I can show you where it contradicts itself. I cannot tell you which behaviour the billing system actually enforces when the docs disagree. Treat the contradictions as "ask support before you commit", not as "the bad one is what happens". ## Do Opus Clip credits expire? Yes. Monthly credits expire after 60 days; yearly credits are valid for 12 months. Both figures are consistent across the three Opus Clip pages that state them. | Plan type | Stated validity | Practical effect | |---|---|---| | Monthly | 60 days from grant | One month of rollover, then the older batch expires | | Yearly | 12 months | Full year of validity, arrival mechanism disputed (below) | | Top-up credits (Agent Opus) | 12 months from purchase | Locked while unsubscribed, restored on resubscribe | Sources: [How Do Credits Work?](https://help.opus.pro/docs/article/how-are-credits-consumed), [Where did my minutes go?](https://help.opus.pro/docs/article/where-did-my-minutes-go), [Agent Opus Credits FAQ](https://help.opus.pro/agent-opus/article/ao-faq-credits-faq), all read 2026-09-24. The 60-day window is the number that matters day to day. It means a monthly Starter subscriber sitting on 150 unused credits has one month to spend them before the first batch lapses, not indefinite banking. If you clip in bursts rather than weekly, that window is the constraint to plan around. ## What happens to your Opus Clip credits when you cancel? This is where the documentation breaks. Two Opus Clip help pages answer the same question in opposite directions. **"Where did my minutes go?"** says the credits die with the billing cycle: > "Furthermore, if you cancel your subscription, the remaining credits will expire at the end of your current billing cycle." **"How Do Credits Work?"** says the opposite, that they survive it: > "If you cancel your subscription, any remaining credits will expire at their original expiration date, even if that is after your billing cycle ends." Both were live on 2026-09-24. The [Agent Opus Credits FAQ](https://help.opus.pro/agent-opus/article/ao-faq-credits-faq) sides with the second, stating that remaining credits "keep their original expiry date, even if that falls after your billing cycle ends" — so it is two pages to one in favour of the friendlier rule. The difference is not academic. Cancel on day 25 of a monthly cycle holding 200 credits, and under the first rule you have five days to spend them. Under the second you have 35. That is the gap between salvaging your balance and losing most of it, and Opus Clip publishes both answers. ### Why this collides with the downgrade path The contradiction would matter less if cancelling were always optional. It isn't. Opus Clip's [Plans article](https://help.opus.pro/docs/article/plans-and-credits) carries this restriction: > "You can only downgrade a **Pro Monthly** account to a Starter plan, as they are both Monthly plan types. If you'd like to downgrade a Pro Yearly to a Starter plan, please first cancel your plan, and then resubscribe under a Starter plan." So a Pro Yearly subscriber who wants to move down to Starter is *required* to cancel. The one plan change that forces you through cancellation is the one where the credit rule is documented two contradictory ways. If you are on Pro Yearly and considering Starter, get the answer in writing from support before you cancel anything. There is a second gate worth knowing: downgrading to the Free plan is blocked unless you hold **fewer than 30 credits**, it takes effect immediately rather than at cycle end, and you lose paid features on the spot. Opus Clip's stated reason is that Free output is watermarked. The practical effect is that a user with a large unused balance cannot park on Free — the docs tell them to cancel instead. ## Do yearly Opus Clip credits arrive upfront or monthly? Opus Clip's own pages disagree, and this is the second time this specific number has caused trouble. **"How Do Credits Work?"** describes a lump sum: > "You'll receive the full year's worth of credits immediately upon purchase, and they will expire after 12 months." **The Agent Opus Credits FAQ** describes twelve monthly grants and explicitly rejects the lump-sum reading: > "Yearly plan credits are billed annually, but they arrive monthly at the same rate as the monthly plan. The yearly figure shown on the plan card, for example 3,600 credits a year on Pro, is the sum of those monthly grants, not a single balance released up front. Unused credits roll over for 2 months." Part of the explanation is product scoping: the first page documents OpusClip, the second documents Agent Opus. But that defence is weaker than it looks, because the same page states that "paid plan credits and top-up credits work in both Agent Opus and OpusClip. One balance, either product." If Pro is one plan with one balance spanning both products, its yearly credits cannot both arrive upfront and arrive monthly. **We have to correct ourselves here too.** Three ScaleReach pages describe Pro's 3,600 yearly figure as "delivered upfront on yearly billing". That matched Opus Clip's billing documentation when we wrote it and still matches one of its pages, but Opus Clip now publishes a page saying the opposite in so many words. Rather than flip our claim to the other side and risk being wrong in a new direction, we have added a dated note to each of those pages recording that Opus Clip's own documentation is split. Getting this number wrong once already forced [a rewritten agency verdict in our Opus Clip review](/blog/opus-clip-review/), and the lesson we took was to publish the uncertainty instead of resolving it by guess. Either way, the 3,600 figure is an annual total, not a monthly allowance. Pro is **300 credits per month**. Any comparison article showing Pro at 3,600 credits a month is off by 12x. ## Refunding a project or deleting it: which gives your credits back? Two adjacent actions, opposite financial outcomes, documented on two separate pages. | Action | Credits returned? | Conditions | |---|---|---| | **Refund this project** | Yes | Pro users only, no clip downloaded yet, within 14 days of upload | | **Delete project** | No | Stated as final, no recovery | [Refunding a Project](https://help.opus.pro/docs/article/can-i-reprocess-a-project) describes the recovery path: Pro users who have not downloaded a clip can open the three-dot menu on the clip preview page, choose "Refund this project", give feedback, and get the credits back to re-upload. Once you download any clip, the option is gone. The window is 14 days from the initial upload. [Deleting a project](https://help.opus.pro/docs/article/delete-project-refund) is the trap: > "when you delete a project, any credits that were allocated or used on that project will not be refunded or added back to your OpusClip account." So the instinct when a run comes back badly cropped or wrongly transcribed — delete it and try again — is the one that costs you the credits. Refund first, delete never. And note the plan gate: Starter subscribers get no project refund at all, which makes a bad run on Starter simply a loss. Two credit returns are automatic and reliable by comparison: a failed X post refunds its credit, and deleting a scheduled X post before it fires refunds it too. ## What does Opus Clip's credit maths actually round to? The rounding rule is asymmetric, and in the user's favour on longer videos. From the credits article: - Videos **shorter than 1 minute** round **up** (a 30-second clip costs 1 credit). - Videos with **partial minutes** round **down** (a 4.5-minute video costs 4 credits). Rounding down on partial minutes is unusual and worth a small amount of money over a year of uploads. It is also the kind of detail that no comparison table carries, which is a reasonable summary of this whole category: the per-minute headline is easy to compare, and everything that determines your actual bill is three clicks deeper. One more clause from the [Payments & Billing page](https://help.opus.pro/docs/article/payments-and-billing-info) belongs in any billing summary, because it is the only place credits can vanish with no notice period at all: > "If any suspicious payment activity is detected by either us or Stripe, due to potential fraud, we reserve the right to suspend your account and forfeit any existing credits." ## Can you get a refund on an Opus Clip subscription? For the step-by-step on cancelling, downgrading, and the App Store route, see [how to cancel Opus Clip](/blog/how-to-cancel-opus-clip/) — including the 3-day deadline its cancel screen puts on project access. Not on a prorated basis. Opus Clip's [Terms of Service](https://www.opus.pro/terms-of-service), read 2026-09-24, is unambiguous: > "you will not be eligible for a prorated refund of any portion of the subscription fee paid for the then-current subscription period... Paid Services cannot be terminated before the end of the period for which you have already paid, and except as expressly provided in this agreement, OPUSCLIP will not refund any fees that you have already paid." Note the distinction that trips people up. Opus Clip's **project** refund returns *credits* to your balance. There is no matching subscription refund that returns *money* to your card. Cancelling stops the next charge; it does not claw back the current period. This is standard for the category — our [Klap](/blog/klap-review-for-short-form-teams/) and [Submagic](/blog/submagic-review-for-captions-and-edits/) reviews found comparable terms — but it is worth reading before you sign up on annual billing rather than after. ## What Opus Clip costs to run at these allowances Prices read off [opus.pro/pricing](https://www.opus.pro/pricing) on 2026-09-24, with credit allowances from the credits article the same day. | Plan | Monthly price | Credits (source minutes) | |---|---|---| | Free | $0 | 60 per month | | Starter | $15/mo | 150 per month | | Pro | $29/mo | 300 per month, per pack | | Business | Custom | Customised | Two gaps in that table are deliberate. The pricing page rendered no annual figure on the day I read it, so no annual price is published here rather than estimated from a discount claim. And the plan names do not agree across Opus Clip's own surfaces: the pricing page lists Free, Starter, Pro and Business, while the credits article's allowance table lists Max, Pro, Starter and Enterprise with no Free row at all. Adding capacity is also less flexible than it sounds. You cannot buy credits alone — [Opus Clip's answer is to buy another pack](https://help.opus.pro/docs/article/can-i-buy-extra-minutes-extra-seats), which bundles 300 credits with 2 team seats, capped at 4 seats. Adding a pack restarts your billing cycle immediately and charges the full new amount. ## How ScaleReach handles expiry differently Since I am going to criticise a competitor's expiry rules, here is ours, read from our own source code rather than our marketing pages. ScaleReach minutes do not expire. There is no expiry timestamp enforced anywhere in the codebase, no cleanup job that reclaims minutes, and the monthly grant is additive: the new allowance is added to whatever is left rather than replacing it. Unused minutes accumulate indefinitely. Annual plans receive all twelve months upfront with no reset date, and since no expiry mechanism exists, that balance does not lapse. Cancelling does not touch the balance either — the plan drops to Free and accumulated minutes stay spendable under Free-plan limits, though no new minutes are granted. Consumption works like Opus Clip's in the parts that matter: minutes are billed on source duration, not output, and only the timeframe you select is charged. The number of clips returned and their lengths make no difference to the bill. **Where we are worse, plainly.** Our rounding goes the other way — we round **up** to whole minutes on everything, so a 61-second video costs 2 minutes where Opus Clip's partial-minute rule would charge 1. There is a 3-minute minimum on every upload. And the honest limitation on retention: generated clips and source media are hard-deleted 15 days after upload on Free and 180 days on paid plans, by a daily cleanup job. Opus Clip's Pro plan gives 100GB of persistent storage with no MP4 export deadline, which is better than a 180-day clock if your archive matters. Our credits never expiring does not mean your clips never do. On price, Starter is $10/month billed annually or $12 monthly for 200 source minutes, which works out to about $0.05 per source minute against $0.10 on Opus Clip Starter. Full breakdown in the [Opus Clip alternatives comparison](/blog/best-opus-clip-alternatives/), and the volume maths in [what it costs to clip 10 hours of podcast a month](/blog/cost-to-clip-10-hours-of-podcast-per-month/). Podcasters weighing that per-minute meter specifically can read [whether Opus Clip is worth it for a podcast](/blog/is-opus-clip-worth-it-for-podcasters/). ## FAQ ### Do Opus Clip credits expire? Yes. On a monthly plan, credits expire 60 days after they are granted, which gives you one month of rollover before the oldest batch lapses. On a yearly plan, credits are valid for 12 months. Agent Opus top-up credits are separately valid for 12 months from purchase. All three figures are stated consistently across Opus Clip's help centre and were verified on 2026-09-24. The 60-day monthly window is the one that constrains real usage, because it means unused credits cannot be banked indefinitely. ### What happens to my Opus Clip credits if I cancel? Opus Clip publishes two contradictory answers. Its "Where did my minutes go?" page says remaining credits expire at the end of your current billing cycle. Its "How Do Credits Work?" page says they expire at their original expiration date even if that is after the cycle ends, and the Agent Opus FAQ agrees with that second version. Cancelling mid-cycle with a large balance could therefore leave you days or weeks to spend it. Get confirmation from support in writing before cancelling, and screenshot your balance first. ### Does Opus Clip roll over unused credits? Effectively one month, on monthly plans. Because credits are valid for 60 days rather than 30, an unused batch survives into the following billing period and then expires. Opus Clip's Agent Opus documentation describes yearly plan credits as rolling over for two months. This is a limited rollover, not indefinite banking: a subscriber who clips heavily one quarter and not at all the next will lose the idle quarter's allowance rather than carry it forward. ### Can I get a refund from Opus Clip? Not for subscription fees on a prorated basis. Opus Clip's Terms of Service state you are not eligible for a prorated refund of the current subscription period and that it will not refund fees already paid. Cancelling stops future charges only. Separately, Opus Clip does offer a project-level *credit* refund: Pro users who have not yet downloaded a clip can refund a project within 14 days and get the credits back. That returns credits to your balance, not money to your card. ### How do I get my credits back after a bad Opus Clip run? Use "Refund this project" from the three-dot menu on the clip preview page, not Delete. The refund option is available to Pro users within 14 days of upload, and only if you have not downloaded any clip from that project. Deleting the project instead is final: Opus Clip states that credits allocated or used on a deleted project are not refunded or added back. Starter subscribers have no project refund option, so a failed run on Starter is an unrecoverable cost. ### Do ScaleReach minutes expire? No. ScaleReach minutes have no expiry date and no reclaim job; the monthly allowance is added to your remaining balance rather than replacing it, so unused minutes accumulate. Annual plans receive twelve months of minutes upfront and they do not lapse. Cancelling leaves the accumulated balance spendable under Free-plan limits. Clips and source media are a separate matter and do expire: they are deleted 15 days after upload on Free and 180 days on paid plans. ## The bottom line The expiry rules themselves are fine. Sixty days on monthly credits is one month of rollover, which is more generous than tools that reset to zero every cycle, and rounding partial minutes down is a small quiet kindness. The problem is not the policy, it is that Opus Clip publishes more than one version of it. Cancellation gets two opposite answers, yearly credit delivery gets two opposite answers, plan names differ between the pricing page and the billing docs, and the free tier appears as 60 credits a month on one page and is absent from the allowance table on another. That matters more than a documentation nitpick, because these are the pages an AI assistant reads when someone asks it whether Opus Clip credits expire. A tool whose own help centre argues with itself will get summarised inconsistently no matter how good the product is. It is also why this post cites a URL and a date for every claim and leaves the contradictions visible instead of resolving them. The practical version is three lines. Screenshot your credit balance before you change anything on the subscription page. Use "Refund this project", never Delete, when a run comes back wrong. And if you are on Pro Yearly and want to move down to Starter, get the credit-expiry answer from support in writing first, because that path forces you through the one door the documentation cannot agree about. --- **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether Opus Clip reconciles the two cancellation statements in "Where did my minutes go?" and "How Do Credits Work?"; whether the yearly upfront-versus-monthly contradiction is resolved, which would let us correct the three ScaleReach pages carrying the 3,600-upfront claim; whether the pricing page begins rendering an annual figure; whether the plan names converge across the pricing page and the credits article; whether project refunds extend below Pro. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker that competes directly with Opus Clip. There is no affiliate relationship and no payment involved either way. Every Opus Clip claim here is quoted from a page Opus Clip controls, with the URL and the read date given, and where its pages contradict each other both versions are published rather than the one that suits us. This is a documentation audit, not a hands-on billing test: I did not purchase a yearly plan or cancel a live subscription, so I cannot report which behaviour the billing system enforces where the docs disagree.* --- # AI Clip Maker Features Compared: Score, Tracking, Captions URL: https://www.scalereach.ai/blog/ai-clip-maker-feature-comparison Published: 2026-09-23 · Author: Hevin K Tags: AI Clip Maker, Comparison, Captions, Short-Form Video Opus Clip's virality score runs **0 to 99**. ScaleReach's runs 0 to 100. Klap scores every clip but publishes no scale anywhere on its own site, and Descript, Submagic and Vizard publish no ranked score on any page I could read. That is six tools and four different answers to what a comparison table would flatten into one tick in a "virality score" column. This post compares three features that every roundup lists and nobody defines: virality scoring, speaker tracking, and captions. Disclosure: I run ScaleReach, so five of these six are competitors and I have an obvious interest. No affiliate links. The rule I set myself was that a feature only goes in the table if the vendor states it on a page the vendor controls — its own site, docs, or help centre. Where a vendor's own pages are silent, the table says "not verified" instead of "no", because absence from a marketing page is not proof a feature is missing. Everything here was read on 2026-09-23 except the Descript rows, read 2026-09-17 for [that tool's own review](/blog/descript-review-for-short-form-teams/). Prices are deliberately absent. We already normalise those in the [AI video clipping tools roundup](/blog/best-ai-video-clipping-tools/); this post is only about what the software does. ## The 60-second verdict > **If you sort by score before publishing,** only Opus Clip and ScaleReach publish a ranked score with a documented scale. Klap scores clips without publishing the range. > > **If your source is a multi-speaker podcast,** ask whether the tool tracks *faces* or the *active speaker*. Opus Clip uses voice and motion cues; ScaleReach adds audio diarization on top of face detection; Klap describes facial recognition plus speech detection. > > **If captions are the whole job,** Submagic publishes the largest caption-language count at 123 and a 99% accuracy claim. > > **Bottom line:** the three features in every comparison table are the three least comparable things in the category. Scores use different scales and different inputs, "speaker tracking" describes two different mechanisms, and a single "languages" number quietly merges transcription, translation and dubbing, which are three separate capabilities with three different counts inside the same product. ## What does each tool actually publish? One row per tool, one column per claim, every cell traceable to that vendor's own page. | Tool | Ranked score | Scale | Tracking mechanism it describes | Caption languages (and of what kind) | |---|---|---|---|---| | **Opus Clip** | Yes | 0–99 | Active speaker via voice and motion cues, plus manual per-scene subject tracking | Not verified on the pages read | | **ScaleReach** | Yes | 0–100 | Face detection always, audio diarization when multiple speakers are detected | Transcription-driven, 24 style templates | | **Klap** | Yes | Not published on its site; 0–100 observed in-product | Facial recognition plus speech detection; AI Reframe 2 picks a layout | 52 languages, edit and transcribe | | **Vizard** | Not documented; observed in-product | Not published | Reframes to centre "key subjects"; mechanism not described | 100+ or 130+ translation, depending which Vizard page you read | | **Descript** | No | — | Center Active Speaker, an AI tool | 25 transcription, 61 caption translation, 30 audio dubbing | | **Submagic** | Not verified | — | Not verified on the pages read | 123 caption languages, 99% accuracy claimed | Sources, all read 2026-09-23 unless noted: [help.opus.pro virality score](https://help.opus.pro/docs/article/virality-score) and [subject tracking](https://help.opus.pro/docs/article/subject-tracking); [klap.app](https://klap.app/); [vizard.ai](https://vizard.ai/), [Find Good Clips](https://vizard.ai/tools/find-good-clips) and [help.vizard.ai](https://help.vizard.ai/en/articles/8768631-how-does-vizard-work); [submagic.co](https://www.submagic.co/); [descript.com/pricing](https://www.descript.com/pricing) and [help.descript.com Create Clips](https://help.descript.com/repurpose/create-clips-from-your-content), read 2026-09-17. ScaleReach rows are read from our own source code. Two cells deserve naming rather than a footnote. **Vizard** is the messiest row in the table. Neither its homepage, its Find Good Clips page, nor its help centre article on how Vizard works names a virality score. The only mention of one anywhere on vizard.ai is inside a customer testimonial. Third-party reviews flatly contradict each other — one competitor's review asserts Vizard has no score at all, another asserts every clip gets a 0-to-100 rating that Vizard "markets hardest". Our own [30-day Vizard review](/blog/vizard-review-for-podcast-and-webinar-clips/) did see a viral score in the product. So the score appears to exist and to be undocumented, which is a different finding from either third-party claim, and the table says "not documented" rather than "no". **Submagic**: its homepage and FAQ cover captions, Magic Clips, silence removal, B-roll, avatars, scheduling and 4K export, and mention neither a score nor speaker tracking. I have not tested Submagic hands-on, so those two cells stay unverified rather than negative. ## Is the virality score a comparable feature? No, and this is the part worth reading twice if you are choosing a tool on the strength of its scoring. A score is only as good as what it is computed from, and two of the three tools that publish one also publish the inputs. Opus Clip evaluates four things: **Hook** (does the opening grab attention and relate to the topic), **Flow** (does it move logically to a satisfying conclusion), **Value** (does it resonate and create a personal connection), and **Trend** (is it aligned with current interests). When you use its ClipAnything model it also checks the clip against your prompt. That is a defensible rubric, and knowing it changes how you read the number. A clip can score badly on Trend while being exactly right for your audience, and no amount of staring at "62" tells you which factor dragged it down. Two practical gates people miss: 1. **Opus Clip's score is plan-gated.** It is available on Pro and Starter. Free-plan users do not see it at all. 2. **The scale is 0–99, not 0–100.** A third-party guide I checked publishes 0–100. The vendor's own help page says 0 to 99. That is a small thing that tells you something larger: most feature tables in this category are copied from each other rather than read off the source. ScaleReach scores 0–100, and since I can read our own schema rather than our marketing, here is what is stored alongside the number: a written `viralityReason`, an `improvementSuggestion` (a viewer-perspective edit to push the clip toward 96+, left empty once a clip already scores 96 or higher), a `hooks` array, an `emotions` array, and a `recommendedPlatforms` list. Clips are indexed by score so the library sorts on it. I think the bare number is the least useful part of that payload. "This clip scores 71" is not actionable. "This clip scores 71, the hook is weak, and here is the cut that would fix it" is. If you are comparing scoring features, compare what comes with the score, not whether the score exists. Klap is the one row where our own pages need reconciling, and it is worth stating plainly rather than quietly picking one. Klap's site publishes no range. Our [30-day hands-on Klap review](/blog/klap-review-for-short-form-teams/) reports a 0–100 scale, observed in the product during paid testing. Both are true: the scale exists in the UI and is absent from the marketing. A table cell sourced only to vendor pages has to say "not published", which is why this one carries both. And the honest caveat on all of it, ours included: a score predicts nothing on its own. Two things from our own measurements say so. Across the tools I have run video through for the Klap and Vizard reviews, high-scored clips beat low-scored clips on average while individual top-scored clips underperformed regularly. And in our own clip data, **82% of scored clips landed at 80 or above** — a distribution that bunches that hard is a usable sort key and a poor yes/no signal. Treat any score in this category, ours included, as triage rather than a forecast. ## Speaker tracking or face tracking: what is the difference? This is the distinction that decides whether a tool survives a four-person podcast, and "auto-reframe" hides it completely. **Face tracking** is vision only. Find faces, keep them in frame. It has no idea who is talking, so on a multi-speaker recording it can sit politely on someone who is listening. **Active-speaker detection** combines vision with audio. Opus Clip's documentation is explicit that it "identifies the active speaker using voice and motion cues", then shifts the frame gradually rather than cutting. Klap describes facial recognition for framing and says its algorithm "relies heavily on speech detection", which is why its own FAQ recommends it for podcasts, interviews and talks over other content. Our implementation sits in between, and since I can read it, I will describe it precisely rather than flatter it. `smart_crop.py` runs MediaPipe BlazeFace face detection on every clip and picks one of four layouts: face-tracked 9:16 for a talking head, a stacked split for two detected speakers, a letterbox for groups of four or more, and a centre crop when it finds no face at all. It predicts through brief detection gaps using velocity rather than freezing and jumping, and it places the head about 20% down the frame instead of dead centre. Audio diarization via pyannote.audio runs **conditionally** — only when multiple speakers are detected, and it is skipped entirely on single-speaker video because it adds roughly two minutes of processing for no benefit. So: always face-aware, speaker-aware when there is more than one speaker to disambiguate. That is an accurate description of a real trade-off, not a feature bullet. For the full walk-through of how that crop follows a face and what it does with two or more speakers, see [keeping the speaker in frame when you crop to vertical](/blog/convert-landscape-video-to-vertical/). Opus Clip is the only tool in this set whose documentation describes **manual** tracking as a first-class feature, and it is genuinely the most flexible thing here. You select a scene on the timeline, click Tracker, click the subject, and it tracks that subject for that scene — and the subject does not have to be a person. Its docs name products, animals, vehicles and text, with a chef's hands and a drone as examples. Automatic tracking prioritises speakers, so for a product or an animal you are meant to reach for manual. Nothing else in this comparison publishes an equivalent. Descript lists Center Active Speaker as an AI tool, available on every paid tier and limited on Free. Vizard says it centres "key subjects" in vertical format without describing how. For Submagic I found nothing to cite. ## Are caption language counts comparable? No, and this is the sloppiest column in every roundup including, historically, the ones on this site. "Languages" collapses three different capabilities: - **Transcription** — turning speech into text in the language spoken - **Caption translation** — rendering that text in a different language - **Audio dubbing** — generating new speech in a different language Descript makes the distinction impossible to ignore because it publishes all three separately: **25** transcription languages, **61** caption-translation languages, **30** audio-dubbing languages. Three numbers, one product. Any table that gives Descript a single "languages" figure has picked one and discarded the others. Against that, read the other counts carefully: | Tool | Published figure | What it actually covers | |---|---|---| | Submagic | 123 | Caption languages, with a 99% accuracy claim | | Klap | 52 | Editing and transcribing, with the full list published | | Descript | 25 / 61 / 30 | Transcription / caption translation / dubbing, stated separately | | Vizard | 100+ or 130+ | Translation. Its homepage says over 100, its Find Good Clips page says 130+ | Vizard's two different numbers are on two pages of the same site on the same day. That is not a gotcha, it is the reason the rule is to read the vendor's page and cite the URL and date — because even then a vendor can disagree with itself, and you want the reader to be able to check which page you used. Where the comparison gets thinner is caption *styling*, because almost nobody quantifies it. ScaleReach ships 24 caption style templates, and I can be specific about what a template controls because it is a typed object in our codebase: font family and size, text and background colour with opacity, x/y position, alignment, animation, word-level highlight colour with a scale factor, shadow, outline colour and width, text transform, and words per line. Word-level highlighting, the moving-highlight effect that most short-form captions use, is a per-template flag rather than a global setting. Submagic's pitch is caption quality above everything else and it is the one tool here whose whole product is that axis, so a template count from us is not a claim to beat it on polish. If captions are the entire job, its 123 languages and a 99% accuracy claim are the numbers to go and test on your own audio. ## What each tool does better A comparison written by a competitor is worth nothing if it cannot name where it loses. **Opus Clip** has the best-documented scoring in the category — a published scale, four named factors, and a stated plan gate — and the only manual, any-subject tracking. If you clip products, animals or screen content rather than faces, it is the only tool here that describes a workflow for it. **Klap** publishes its full 52-language list rather than a bare number, and AI Reframe 2 selects a layout per scene including split-screen, screencast and gaming presets, which is a harder problem than centring a head. **Vizard** is the most explicit about what its detection is looking for — content clarity, speaker energy, delivery, and key topical transitions — and it publishes the widest scheduled-publishing surface I verified, covering YouTube, TikTok, Shorts, Instagram, X, LinkedIn and Facebook. **Descript** is the only one that separates transcription, translation and dubbing instead of merging them, which is the honest way to publish those numbers, and its Create Clips run is steerable with a topic or goal and configurable from 10 seconds to 5 minutes. **Submagic** owns the captions axis outright on published numbers, and it pairs that with silence removal, B-roll insertion and 4K 60fps export. **Where we lose:** we do not publish a caption-language count in the way Submagic and Klap do, our diarization is conditional rather than always-on, and we ship nothing like Opus Clip's manual subject tracker. If your footage is a product demo rather than a person talking, that gap is the one that will bite. ## Which tool fits which source footage? ### Single talking head → any of them Every tool in this set is built for this and will handle it. Pick on price and on whether you need an editor afterwards, not on these three features. ### Two-person interview → Opus Clip, Klap, or ScaleReach You want the active speaker, not whoever is on camera. These three describe an audio component in their tracking. Ours only engages diarization once it sees more than one speaker, which is exactly this case. ### Four-plus panel → verify before you commit Nobody in this set publishes a reliability figure for heavy speaker overlap. Ours drops to a letterbox at four or more faces rather than guessing, which is a deliberate choice and also an admission that per-speaker framing at that density is unreliable. Run one real episode through any candidate before buying a year. ### Product demo, gameplay, or screen recording → Opus Clip Automatic tracking prioritises speakers everywhere in this comparison. Opus Clip is the only one documenting manual tracking of non-human subjects, and Klap's AI Reframe 2 at least names screencast and gaming layouts. ### Multilingual publishing → Descript or Submagic Descript if you need dubbing separated from captions and stated honestly. Submagic if the job is captions at maximum language coverage. ## FAQ ### What is a virality score and is it accurate? A virality score is a number an AI clip maker assigns to each clip to predict engagement. Opus Clip's runs 0–99 and is built from four factors it publishes: hook, flow, value and trend. ScaleReach's runs 0–100 and ships with a written reason and a suggested edit. Accuracy is limited: in hands-on testing across tools, high-scored clips outperform low-scored ones on average while individual top-scored clips regularly underperform. Use a score to triage a batch, not to predict a single clip. We put that to the test against our own data in [how much to trust the Opus Clip score](/blog/how-accurate-is-the-opus-clip-virality-score/). ### Which AI clip makers have a virality score? Of the six tools checked on 2026-09-23, Opus Clip and ScaleReach publish a ranked score with a documented scale, and Klap scores clips without publishing the range on its own site. Descript identifies engaging moments but publishes no ranked score. Neither Vizard's nor Submagic's own pages name one, though third-party reviews disagree about Vizard. Verify on the vendor's page before trusting a comparison table. ### What is the difference between face tracking and speaker tracking? Face tracking is vision only: it keeps detected faces in frame with no knowledge of who is talking, so it can centre a listener on a multi-speaker recording. Active-speaker detection adds audio. Opus Clip states it identifies the active speaker from voice and motion cues, Klap describes facial recognition plus speech detection, and ScaleReach runs face detection always plus audio diarization when it detects more than one speaker. The distinction only matters on multi-speaker footage. ### How many languages do AI captions support? It depends what "support" means, which is why the numbers look incomparable. Submagic publishes 123 caption languages, Klap 52 for editing and transcribing, and Vizard either 100+ or 130+ for translation depending which of its own pages you read. Descript splits the capability properly: 25 transcription languages, 61 for caption translation and 30 for audio dubbing. Transcribing, translating and dubbing are three different features. ### Does every AI clip maker reframe video to 9:16 automatically? Every tool in this comparison converts landscape to vertical automatically, but the mechanism and the options differ. Descript offers portrait 9:16 and square 1:1 presets on its Create Clips run. Klap's AI Reframe 2 selects a layout per scene including split-screen, screencast and gaming. ScaleReach picks among four layouts including a stacked split for two speakers and a letterbox for groups of four or more. Opus Clip adds manual per-scene subject tracking. ### Can AI clip makers track something other than a person? Mostly no. Automatic tracking prioritises speakers in every tool checked here. Opus Clip is the exception: its documentation describes manual subject tracking for non-human subjects including products, animals, vehicles and on-screen text, selected per scene from the timeline. If your footage is a product demo or a cooking shot rather than a person talking, that capability is the one to shortlist on. ## The bottom line The three features every AI clip maker roundup compares are the three that resist comparison hardest. A virality score exists on three of these six tools, on two different published scales and one undisclosed one, computed from inputs only two vendors describe. "Speaker tracking" covers both vision-only face following and genuine audio-plus-vision active-speaker detection, and the difference is invisible in a tick-box table while being the thing that decides whether a panel episode comes out watchable. Caption language counts merge transcription, translation and dubbing, which Descript proves by publishing 25, 61 and 30 for the same product. The practical takeaway is smaller than the table. Work out which of the three actually constrains you — sorting a big batch, framing multiple speakers, or publishing in languages you do not speak — and verify that one feature on the vendor's own page on the day you buy. Two of the discrepancies in this post came from a vendor disagreeing with its own other page, and one from a third-party guide publishing a scale the vendor does not use. A feature table is a starting point for questions, not an answer. --- **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** whether Vizard names a virality score on its own pages; whether Submagic publishes speaker tracking; Opus Clip's 0–99 scale and plan gate; Klap's 52-language count and whether it publishes a score range; Descript's three language counts; Vizard reconciling the 100+ and 130+ figures; our own template count and diarization behaviour if `smart_crop.py` changes. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), an AI clip maker with a 0–100 virality score, face and speaker-aware reframing and 24 caption templates. Five of the six tools compared here are competitors and there is no affiliate relationship with any of them. Every competitor claim is cited to a page that vendor controls, and cells the vendor's own pages did not answer are marked "not verified" rather than guessed.* --- # How to Grow on LinkedIn With Video Clips: The Step-by-Step Workflow URL: https://www.scalereach.ai/blog/how-to-grow-on-linkedin-with-video-clips Published: 2026-09-22 · Author: Hevin K Tags: LinkedIn, Short-Form Video, Workflow, B2B Marketing Almost everyone repurposing long-form video sends the clips to TikTok, Reels, and Shorts. LinkedIn gets whatever is left over, usually a 9:16 clip with TikTok-style captions dropped into a feed most people read on a laptop. That is a mistake, and I can show you our own numbers on it. It is also fixable in about twenty minutes of setup. This post is the step-by-step version: what LinkedIn's video rules actually are (they are not the ones most blog posts quote), which clip shape to render, and how the workflow runs end to end. I will be specific about what our own tooling does and equally specific about where it stops. ## Why bother clipping for LinkedIn at all? Here is the first-party data, and it is the reason this post exists. We ask every new ScaleReach signup where they heard about us. Across all signups as of 27 July 2026, LinkedIn was the smallest meaningful source by volume and the **best** by intent: | Source | Signups | Uploaded a video | Upload rate | |---|---|---|---| | LinkedIn | 22 | 16 | **72.7%** | | Friends | 25 | 15 | 60.0% | | AI search | 121 | 61 | 50.4% | | Instagram | 62 | 29 | 46.8% | | Google | 123 | 54 | 43.9% | Uploading a video is the first real action on our product, so upload rate is the honest quality signal, not signup count. LinkedIn sent us the fewest people and the highest share of people who actually did something. Be careful with that 72.7% though: **n = 22.** That is a directional signal, not a law of nature, and I am not going to pretend a 22-person sample is proof. What it does line up with is the obvious structural thing about LinkedIn: people are logged in with their real name, their job title, and a budget. The intent is baked into the platform. The second reason is supply. Every competitor's clip queue is pointed at TikTok. The professional feed is comparatively underserved, and it rewards exactly the kind of material a webinar or a podcast already contains: an explanation, a contrarian take, a number with context. ## Which LinkedIn video specs actually apply to your posts? This is where most advice goes wrong, so it is worth getting precise. LinkedIn publishes **two different sets of video requirements**, and the one that circulates in blog posts is usually the wrong one for organic posting. Both figures below were read off LinkedIn's own pages on 21 September 2026: | | Organic post (what you post) | Video ad (what you pay for) | |---|---|---| | Max duration | **15 minutes** | 30 minutes | | Min duration | — | 3 seconds | | Max file size | **5 GB** | 500 MB | | Min file size | 75 KB | 75 KB | | Aspect ratio | **1:2.4 to 2.4:1** | 4:5, 9:16, 16:9, 1:1 | | Frame rate | 10 to 60 fps | 30 fps recommended | Source: LinkedIn Help, "Share videos on LinkedIn" and "Video sharing troubleshooting", for the organic column; LinkedIn Marketing Solutions video ad specs for the ad column. Three things fall out of this that matter for a clip workflow: **The organic aspect range is wider than the ad range, not narrower.** 1:2.4 to 2.4:1 works out to roughly 0.42 through 2.4 as a width-over-height number. A 9:16 vertical clip is 0.5625 and a 16:9 landscape is 1.78, so both sit comfortably inside it, as does 1:1 and 4:5. You are not constrained on shape when posting organically. The ad spec is the stricter one, capped at 9:16 on the narrow end and 16:9 on the wide end. **The organic file size ceiling is ten times the ad ceiling.** 5 GB versus 500 MB. A rendered 45-second clip is nowhere near either, so this never bites you for clips. It matters only if you try to post the full source video. **Duration is the one place organic is stricter.** 15 minutes, not 30. Again irrelevant for clips, relevant if you ever consider posting a whole webinar to the feed. If you take one thing from this section: stop reading the ads spec sheet when you are planning organic posts. They are different documents with different numbers, and the ad sheet is the one that ranks in Google. ## What shape should a LinkedIn clip actually be? Since LinkedIn permits basically any sane ratio organically, the constraint is not technical. It is behavioural: a meaningful share of LinkedIn viewing happens on a desktop feed, in a column, mid-workday. A 9:16 clip in a desktop feed is a tall thin sliver with dead space either side. A 1:1 square fills the column width and keeps the subject large. This is the opposite of the TikTok calculus, where 9:16 is the only correct answer. Now look at what people actually render. Across every clip our pipeline has produced, measured 27 July 2026: | Requested ratio | Clips | Share | |---|---|---| | 9:16 | 6,821 | 96% | | 1:1 | 84 | 1% | | 16:9 | 46 | 1% | Ninety-six percent vertical. The square option exists, LinkedIn's desktop column rewards it, and effectively nobody picks it, ourselves included. That gap is the cheapest unforced advantage in this whole post: if you are posting to LinkedIn specifically, render a 1:1 pass of your best two or three clips instead of reusing the vertical file you made for TikTok. My opinion, stated plainly: do not render a 1:1 version of all thirteen clips. Render vertical as your default because it serves three platforms, and cut a square version only for the handful of clips you genuinely want to land on LinkedIn. The ratio is worth a few minutes on your best clips and not worth a workflow redesign. For clip length, our own data is the useful anchor: the pipeline's chosen clips run a median of 42 seconds and a mean of 46.7 seconds. That band holds up fine on LinkedIn, and it sits far below the 15-minute ceiling, so length is never the binding constraint. What changes on LinkedIn is not duration but pacing, which the [webinar to LinkedIn clips playbook](/blog/webinar-to-linkedin-clips/) covers in more detail: TikTok pacing is usually too aggressive for a professional feed. ## How does the workflow run, step by step? Five steps. The first two are one-time setup and the rest is the repeating loop. **Step 1: Connect LinkedIn.** In the workspace, open the social page and connect LinkedIn through OAuth. It is a live integration, not a waitlist. Worth knowing: connecting any social account grants a one-time bonus of 10 processing minutes, LinkedIn included. **Step 2: Know where the post lands.** This is the limitation you need up front, before you build a plan on top of it. Our LinkedIn integration authenticates as a **member** and posts to your **personal profile** with public visibility. **Company pages are not supported.** If your LinkedIn strategy is built around a company page, this integration does not serve it and you should publish those manually. For a founder, consultant, or operator posting under their own name, personal-profile publishing is the right target anyway, since that is where the reach is on LinkedIn. Coaches and consultants have one extra rule: [clip your teaching, not client sessions](/blog/turn-coaching-videos-into-short-clips/). For a brand account, it is a genuine gap. **Step 3: Generate clips with LinkedIn as the intended platform.** Clip captions and hooks are generated per platform, and LinkedIn is its own tone profile: professional insights, business tips, thought leadership, rather than the trendy and fast-paced register used for TikTok. Same source video, same detected moments, different copy on top. If you generate everything as TikTok and cross-post the result, you are shipping the wrong voice into a professional feed, and it reads exactly as borrowed. **Step 4: Filter for a professional feed, not a scroll feed.** The selection criteria genuinely differ. A clip that works here usually names a problem, adds context or reframes it, delivers one takeaway, and stops. Energy spikes and punchlines matter less than a complete thought. You are looking for the moment a smart person would forward to a colleague, not the moment that makes a stranger stop scrolling. **Step 5: Schedule the batch.** Approved clips go into the scheduling calendar with a caption and hashtags, and the queue publishes them to your profile on the cadence you set. Same mechanism as the rest of the batch workflow, which is documented in [how to batch a month of shorts in one afternoon](/blog/batch-a-month-of-shorts-in-one-afternoon/) if you want the full one-sitting version. ## What does the honest track record look like? I am not going to sell you a publishing volume we have not done. Our direct-publishing numbers as of 27 July 2026: 118 posts scheduled, 103 published, broken down as YouTube 70 scheduled and 61 published, Instagram 43 and 41, TikTok 3 and 0, Threads 2 and 1. **LinkedIn does not appear in that table, because it had no published posts in that sample.** The integration is built, live, and connectable today. Its production publishing history at the time of the last measurement was empty, which means the mature, heavily-exercised paths in our scheduler are YouTube and Instagram, and LinkedIn is not yet one of them. I would rather say that plainly than have you discover it. If you are moving a critical B2B posting schedule onto this, connect it and run two or three clips through before you trust the queue with a month of content. That is good advice for any publishing integration, ours included. The clip generation side, by contrast, has real volume behind it: 1,224 source videos and 7,101 clips in that same measurement. It is the last mile to LinkedIn specifically that is new. ## How many clips does a month of LinkedIn posting need? Fewer than you would guess, because LinkedIn tolerates and arguably rewards lower frequency than TikTok. Say you post three clips a week, so roughly 13 a month. Our measured clip yield by source length, again from 27 July 2026: | Source length | Videos measured | Mean clips returned | |---|---|---| | Under 5 min | 75 | 2.9 | | 5 to 15 min | 452 | 4.3 | | 15 to 30 min | 462 | 5.4 | | 30 to 60 min | 171 | 7.5 | | Over 60 min | 64 | 18.0 | One 60-minute webinar or podcast averages 18 clips. So a single long recording covers a month of LinkedIn at three posts a week, with clips to spare. Two 30-minute sessions get you roughly there as well. That is the part worth internalising: for LinkedIn specifically you are not short of source material. You almost certainly have a webinar recording, a customer call you have permission to use, or a conference talk sitting in a Drive folder right now that is a month of posts. On free: 100 processing minutes, watermarked, with a 30-minute cap on any single upload. Those are two separate limits, and the per-upload cap is the one that surprises people, so a 45-minute webinar will not go through on free even though your monthly allowance covers it. Split it or upgrade. Paid plans start at $10/month on annual billing for 200 source minutes. ## What should you not do? Four failure modes, in the order I see them most. **Cross-posting a watermarked TikTok export.** Platforms suppress recycled, watermarked uploads, and the [repost rules are worth reading before you cross-post anything](/blog/repost-youtube-video-tiktok-without-getting-flagged/). Publish the clean render to each platform instead of reposting one platform's output to another. **Using TikTok captions on LinkedIn.** Not the styling, the writing. Bouncing word-by-word karaoke captions with an emoji every third word read as out of place in a professional feed. Keep captions readable in one glance and out of the way of faces and on-screen UI, which the [captions and watch time breakdown](/blog/how-to-add-captions-that-increase-watch-time/) goes into properly. **Assuming captions are optional because people have sound on.** They do not. Workday LinkedIn scrolling is muted scrolling. Captions are load-bearing here for the same reason they are everywhere else. **Building a plan around a company page.** Covered above, and repeated because it is the one that will actually break someone's plan: this integration publishes to a personal profile, not a company page. ## FAQ ### What are LinkedIn's video requirements for a normal post? For organic member posts, LinkedIn's help pages list a maximum file size of 5 GB, a minimum of 75 KB, a maximum duration of 15 minutes, an aspect ratio between 1:2.4 and 2.4:1, and frame rates from 10 to 60 fps, verified 21 September 2026. LinkedIn's video *ad* specs are different, allowing up to 30 minutes but capping file size at 500 MB, so check which document you are reading. ### What aspect ratio is best for LinkedIn video? LinkedIn accepts anything from 1:2.4 to 2.4:1 organically, so 9:16, 4:5, 1:1, and 16:9 all qualify. Because a significant share of LinkedIn viewing happens in a desktop feed column, a 1:1 square clip fills more of the visible area than a 9:16 vertical, which renders as a narrow sliver on desktop. Vertical still works; square is the underused option. ### How long should a LinkedIn video clip be? Well under LinkedIn's 15-minute ceiling. The clips our pipeline selects run a median of 42 seconds and a mean of 46.7 seconds, and that band transfers to LinkedIn fine. Prioritise delivering one complete thought over hitting a target duration. ### Can ScaleReach post to a LinkedIn company page? No. The LinkedIn integration authenticates as a member and publishes to your personal profile with public visibility. Company page and organisation posting are not supported, so company-page content has to be published manually. ### Do I need separate clips for LinkedIn and TikTok? Not separate clips, but ideally separate captions and sometimes a separate crop. The same detected moment can serve both, and caption copy is generated per platform, with LinkedIn tuned to professional insight and thought leadership rather than TikTok's trend-led tone. Re-cropping to 1:1 is worth doing for your best few LinkedIn clips and not worth doing for all of them. ### How many source videos do I need for a month of LinkedIn clips? Usually one. A source video over 60 minutes returns an average of 18 clips in our measured data, which covers three posts a week for a month. A 30 to 60 minute recording averages 7.5 clips, so two of those also get you close. ## The bottom line LinkedIn is the feed where our highest-intent traffic comes from, on the smallest volume, with the least effort invested. That asymmetry is the whole opportunity. The work is genuinely small: connect the account once, generate clips with LinkedIn as the intended platform so the copy is written in the right register, cut a 1:1 version of your best two or three, and queue them. One long recording you already have is a month of posts. Two caveats I would rather you hear from me than find out later. Publishing goes to your personal profile, not a company page. And LinkedIn had no published posts in our last measured sample, so run a couple of clips through the queue before you trust it with a quarter's schedule. Everyone else is pointing their clip queue at TikTok. The professional feed is right there, and it is emptier. --- # How to Grow a Podcast With Short Clips in 2026 URL: https://www.scalereach.ai/blog/how-to-grow-a-podcast-with-short-clips Published: 2026-09-22 · Author: Hevin K Tags: Podcasting, Short-Form Video, YouTube Shorts, Content Repurposing Making clips is not the hard part of growing a podcast anymore. Every show does it, and a tool can cut a week of them in an afternoon — the real decision there is cost, which we work through in [is Opus Clip worth it for podcasters](/blog/is-opus-clip-worth-it-for-podcasters/). The hard part in 2026 is *where you put them* — because a clip that racks up 40,000 views on a feed that keeps the viewer on that feed grows the platform, not your show. So this post is about placement, not just production. I will use two things: our own pipeline data, so the "how many clips will I get" question has a real number behind it, and each platform's own documentation for the rules, because platform facts are the ones most blog posts get wrong. Disclosure: ScaleReach publishes this and makes an [AI clip generator](/tools/ai-video-clip-generator/). Every first-party figure is dated and comes from our production pipeline; every platform claim is linked to the platform's own page and dated the day I checked it. Where something is a vendor's own marketing claim rather than an independent fact, I say so. ## Why are short clips the podcast growth channel in 2026? Because the audience moved, and the platforms followed. Podcasts are now watched as much as heard, and the numbers Spotify publishes about its own platform are the clearest signal of where the demand went. From Spotify's own pages (verified 2026-09-22): over 430,000 shows now upload video to Spotify; Spotify cites a study in which 72% of podcast listeners said they prefer shows with video; and in announcing its shift from "Spotify for Podcasters" to "Spotify for Creators," Spotify reported an 88% surge in users consuming video podcasts in a single year. Those are Spotify's figures about Spotify, not independent measurements, so read them as a platform telling you what it is optimizing for. But a platform telling you it is optimizing for video is exactly the signal a podcaster should act on. The mechanic underneath all of this is simple: **a clip is a trailer, not the show.** It samples a strong moment to convert a scroller into a listener. That framing decides everything downstream — which moment you cut, how long it runs, and, most of all, where you post it so the trailer actually leads somewhere. ## Where should you post podcast clips to actually grow? Here is the decision the rest of the post hangs on. The platforms are not interchangeable, because they differ on the one thing that matters for a podcast: whether a clip can route a viewer to your full episode. | Surface | What it is best at | Can it link to the full episode? | |---|---|---| | YouTube Shorts | Discovery *and* conversion, on the same platform your episode already lives | Yes — the Related Video feature (see below) | | Spotify Clips | Reaching people who are already on Spotify to listen | Yes — the clip sits on the episode itself | | TikTok | Raw top-of-funnel reach and discovery | Weakly — the platform is built to keep viewers in-feed | | Instagram Reels | Discovery plus saves and shares | Weakly — link in bio only | The pattern: **YouTube Shorts and Spotify Clips are the two surfaces where a clip and the full episode live on the same platform, so the hop from "watched a clip" to "listened to the show" is one tap.** TikTok and Reels are superb at putting your face in front of strangers and comparatively bad at handing those strangers your episode. Post to all four, but understand that you are asking two of them for reach and two of them for listens. Our own publishing data lines up with this, and I would rather show it than assert it. Across the pipeline, measured 27 July 2026: | Platform | Posts scheduled | Posts published | |---|---|---| | YouTube | 70 | 61 | | Instagram | 43 | 41 | | TikTok | 3 | 0 | | Threads | 2 | 1 | Source: ScaleReach pipeline data, measured 27 July 2026. Two honest reads of that table. First, podcasters clip to YouTube first — 61 of 103 published posts went there, more than everywhere else combined, which fits the fact that 1,212 of our 1,224 source videos came from a YouTube URL in the first place. Second, our TikTok record is 3 scheduled and 0 published, so treat this section as platform mechanics plus our placement data, not a TikTok performance case study. I will not pretend to numbers we do not have. The reason for that zero is a TikTok rule rather than a mystery, and it applies to every scheduler: [why auto-posted TikToks go private, and which tools post to each platform](/blog/auto-post-clips-to-tiktok-instagram-youtube/). ## How many clips does one podcast episode actually give you? Fewer episodes than you would think, because a single long recording produces a lot. This is the supply side of the growth question, and it is the number people actually want before they commit to a workflow. Mean clips returned per source video, by source length: | Source length | Videos measured | Mean clips returned | |---|---|---| | Under 5 min | 75 | 2.9 | | 5 to 15 min | 452 | 4.3 | | 15 to 30 min | 462 | 5.4 | | 30 to 60 min | 171 | 7.5 | | Over 60 min | 64 | 18.0 | Source: ScaleReach pipeline data, measured 27 July 2026, across 1,224 source videos and 7,101 clips. Sources over 60 minutes average 18 clips, but that bucket is dominated by two and three-hour podcasts, so a tight one-hour episode lands lower, in the high single digits to low twenties, which we break down in [how many clips a one-hour podcast produces](/blog/how-many-clips-from-a-one-hour-podcast/). Either way, a weekly hour-long show gives you enough to post daily across Shorts, Reels, and TikTok, keep your best one or two for a Spotify Clip, and still have some in reserve. The clips themselves run a median of 42 seconds and a mean of 46.7 seconds — the length a self-contained moment naturally wants, well inside every platform's cap. The practical rule: feed the full episode into your clip tool, not a pre-trimmed highlight. Sources under five minutes averaged 2.9 clips; the moment-finder needs the whole conversation to hunt through. If you want the length reasoning per platform, our breakdown of [podcast clip length on TikTok vs Reels vs Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) goes deep on why the caps are ceilings, not targets. ## What makes a Spotify Clip, and how is it different from a preview? Spotify Clips is the newest and least-understood surface here, so it is worth getting exactly right. A Clip is a short video you upload to a specific episode inside Spotify for Creators, and it can then be recommended across the Spotify app — the Home feed, the Podcasts feed, the Browse tab, the Now Playing view, and your show page. The point, in Spotify's own framing, is to catch potential listeners where they already come to listen, rather than on a social feed built to keep them scrolling. The requirements, from Spotify's Clips content policy (verified 2026-09-22): | Spotify Clip requirement | Value | |---|---| | Length | 15 to 90 seconds | | Minimum resolution | 768 x 1024 pixels | | File size | Under 1 GB | | Format | .MP4 or .MOV | | Audio | Required | | Orientation | Vertical recommended, horizontal supported | | Clips per episode | One | Source: Spotify for Creators, Clips content policy and Clips help article, verified 2026-09-22. Do not confuse a Clip with a **preview**. Per Spotify's own help pages, a preview is auto-generated by Spotify (or you pick the timestamps), runs up to 60 seconds, is always square, and only shows if you have *not* uploaded a Clip. A Clip is the one you control. If you upload nothing, Spotify fills the slot for you with a preview — so uploading a deliberate Clip is strictly an upgrade over the default. Two things follow that matter for a workflow: **You get exactly one Clip per episode, so it has to be your best moment.** Spotify's own guide quotes creators who found that trailer-style clips — a hook in the first three to seven seconds, a couple of moments that tease a story arc — convert to episode plays better than a random funny cut. On social you can throw fifteen clips at one episode and see what sticks. On Spotify you get one shot, so pick the moment that makes someone want the whole thing. **No scheduler can auto-post a Spotify Clip, ours included — and that is a Spotify rule, not a tool limitation.** Spotify states plainly that Clips can only be uploaded on Spotify for Creators web. So the honest workflow is: generate the vertical clip in a tool, then upload it by hand in Spotify for Creators. Spotify's help page itself points creators to clip tools like Riverside and Headliner for the creation step; ScaleReach does the same job and also handles placement on the platforms that *do* allow scheduling, which is the split we cover in [Riverside vs ScaleReach](/blog/riverside-vs-scalereach/). ## How do you turn a YouTube Short into podcast listens? This is where most podcasters leak their best traffic, because the intuition from long-form YouTube does not transfer to Shorts. The trap: **links in a YouTube Short's description are not clickable.** "Full episode in the description" sends the viewer hunting for a link that does not behave like a normal one. YouTube removed that clickability and has not signaled any plan to bring it back. The fix is YouTube's own Related Video feature. Per YouTube Help (verified 2026-09-22), you can attach one related video to a Short, and it appears as a clickable link below your channel handle in the Shorts player — a one-tap bridge from the clip to your full episode. YouTube's own creator blog now describes this as the primary way to convert Shorts reach into long-form watch time. The fine print worth knowing before you rely on it: - It requires **advanced feature access** on your channel (identity verification or sufficient channel history). - The target video must be **public or unlisted** and on your own channel. - **One** related video per Short. - You can only add it on **desktop**, in YouTube Studio — the mobile app does not expose the field. And one piece of advice straight from YouTube's blog that is easy to skip: **reward the click.** The first 5 to 10 seconds of your full episode should pay off exactly what the Short promised. If a viewer taps through and lands on a slow logo intro or unrelated chatter, they swipe away, and you have trained the algorithm that your bridge does not work. If YouTube is your main stage, the full path from episode to Short is in [how to turn YouTube videos into Shorts](/blog/how-to-turn-youtube-videos-into-shorts/). ## What length should each platform's clip be? Short answer: let the moment set the length, and it will land inside every cap on its own. Our pipeline's clips sit at a 42-second median without anyone targeting a number. The hard limits, so you know the ceilings: | Platform | Clip length ceiling | Note | |---|---|---| | Spotify Clips | 15 to 90 seconds | A hard floor and ceiling, per Spotify's content policy | | YouTube Shorts | Up to 3 minutes | Vertical or square ≤3 min is classified as a Short | | TikTok | 3 minutes for all creators; some get 5 or 10 | Schedulers cap at 10 min via TikTok's upload API | | Instagram Reels | Keep under ~3 minutes for reach | Longer Reels get limited reach to new audiences | Sources: Spotify Clips content policy, YouTube Help on three-minute Shorts, and TikTok's Content Posting API documentation (all verified 2026-09-22). TikTok's developer docs state verbatim that all creators can post three-minute videos and some have access to five or ten; the widely repeated "60 minutes" is a limited test TikTok confirmed in May 2024, not a universal spec, so do not build a plan on it. The one place length is not a free choice is Spotify: a Clip must be between 15 and 90 seconds, full stop. Everywhere else the cap is generous and irrelevant, because a podcast moment resolves long before three minutes. Pad a clip to fill the space and you trade away the completion rate that gets it recommended in the first place. ## What clips won't do for your podcast Clips are a discovery layer, not the whole growth engine, and a few honest limits are worth stating before you build a quarter's plan on them. **A clip does discovery; the episode does retention.** The best clip in the world routes a listener to an episode that then has to hold them. If your show loses people in the first two minutes, more clips just fill a leaky bucket faster. **Not every source clips well.** Our own tooling is strong on talking-head podcast footage and weak where the value is silent — a screen-share demo does not survive a vertical crop, and a virality score is triage for your review queue, not a guarantee. Across all scored clips, 82% land at 80 or above, which tells you the score is good for ordering what to review and close to useless as an absolute verdict. **Captions are not optional.** Feed scrolling is muted scrolling, and Spotify's own Clip guidance calls out captions as an engagement driver. This is the cheapest watch-time win there is, and we go into it in [captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/). **Post the clean render to each platform, not one platform's export to another.** Recycled, watermarked reuploads get suppressed. Before you cross-post anything, the [repost rules](/blog/repost-youtube-video-tiktok-without-getting-flagged/) are worth ten minutes. If you want the one-sitting version of the production side, [batch a month of shorts in one afternoon](/blog/batch-a-month-of-shorts-in-one-afternoon/) and the [podcast-to-TikTok workflow](/blog/podcast-to-tiktok-workflow/) both cover the mechanics end to end. ## FAQ ### Do short clips actually grow a podcast? They grow the top of the funnel — discovery — which is usually the binding constraint for a small show. The catch is that a clip only grows *your podcast* if it can route the viewer to your episode. That is why placement matters: YouTube Shorts (via the Related Video feature) and Spotify Clips put the clip and the full episode on the same platform, while TikTok and Reels are strong on reach but weak on handing viewers your episode. Clips drive discovery; your episode still has to handle retention. ### Where should I post podcast clips? Post to all four major surfaces, but for different jobs. YouTube Shorts and Spotify Clips are where a clip can convert to a listen on the same platform, so prioritize them for growth. TikTok and Instagram Reels are top-of-funnel reach. In our own pipeline data (measured 27 July 2026), YouTube took 61 of 103 published posts, more than every other platform combined — podcasters clip to YouTube first. ### What are the requirements for a Spotify Clip? Per Spotify's Clips content policy (verified 2026-09-22), a Clip must be 15 to 90 seconds, at least 768 x 1024 pixels, under 1 GB, an .MP4 or .MOV file, and contain audio. Vertical is recommended, horizontal is supported, and you get one Clip per episode. Clips can only be uploaded on Spotify for Creators web, so no scheduling tool can auto-post one — you generate the clip, then upload it by hand. ### How do I get YouTube Shorts viewers to listen to my full episode? Use YouTube's Related Video feature, not a link in the description — description links in Shorts are not clickable. Per YouTube Help (verified 2026-09-22), a related video appears as a tappable link below your channel handle in the Shorts player. It needs advanced feature access, the target episode must be public or unlisted, you get one per Short, and you can only add it on desktop in YouTube Studio. Then make the first 5 to 10 seconds of the episode pay off the Short's promise. ### How many clips can I get from one podcast episode? It scales with length. In our pipeline data (27 July 2026), sources over 60 minutes averaged 18 clips each, 30-to-60-minute sources averaged 7.5, and 15-to-30-minute sources averaged 5.4. One hour-long episode is roughly a week of daily posting across platforms with a couple left over for a Spotify Clip. Feed the full episode in, not a highlight reel — sources under five minutes averaged only 2.9 clips. ### How long should a podcast clip be? Let the moment decide; it usually lands around 42 seconds, the median across our 7,101 clips (measured 27 July 2026). The only hard constraint is Spotify, where a Clip must be 15 to 90 seconds. YouTube Shorts allow up to 3 minutes and TikTok 3 minutes for all creators, but those are ceilings, not targets — a clip padded to fill them loses the completion rate that earns recommendations. ## The bottom line Producing clips is solved. The 2026 growth question is placement, and the answer is to sort your four surfaces by whether a clip can hand the viewer your episode. YouTube Shorts and Spotify Clips can, so they earn your best moments and a proper Related Video link or Clip upload. TikTok and Reels are reach — valuable, but do not mistake their view counts for listeners. The supply is not your problem: sources over 60 minutes average 18 clips in our data, and even a tight one-hour episode gives you enough for a week or more of daily posting with your strongest one held back for Spotify. Generate once, place deliberately, caption everything, and make the full episode reward the click. That is the whole playbook, and most of the work is deciding where each clip goes — not making more of them. Every platform figure here was read off the platform's own documentation on 22 September 2026, and every ScaleReach number was measured from our production pipeline on 27 July 2026. If one is wrong, tell us at hevin@scalereach.ai and we will fix it in the open. --- # AI Clip Maker vs Hiring a Video Editor: The Real Cost in 2026 URL: https://www.scalereach.ai/blog/ai-clip-maker-vs-hiring-a-video-editor Published: 2026-09-21 · Author: Hevin K Tags: Pricing, Comparison, Video Editing, Content Repurposing If you publish short clips every week, you eventually face one decision: pay a tool to cut them or pay a person to cut them. The headline gap looks enormous — an AI clip maker runs $10 to $18 a month, a freelance editor runs into the hundreds — so the cheap answer looks obvious. It mostly is, but not for the reason the price tag suggests, and there is a real job the freelancer does that no clip maker does. This post prices both sides with numbers read off the vendors' own pages on 21 September 2026, normalizes them to cost per clip, and is honest about the one thing the cheap option cannot do. Disclosure: ScaleReach publishes this post and is the AI clip maker priced in it. Every ScaleReach figure was read from our own pricing page, and every editor figure from Fiverr's, Upwork's, or the U.S. Bureau of Labor Statistics' own page, each dated below. No affiliate links. Where a number could not be verified, the gap is stated instead of guessed. ## The 60-second verdict > **Use an AI clip maker if** the job is turning long-form video you already have — podcasts, interviews, webinars, streams — into a steady stream of captioned vertical clips. This is mechanical, repetitive, high-volume work, and software does it for $10 to $18 a month against $120 to $1,000+ for the same volume from a freelancer. > > **Hire a video editor if** the job needs judgment: narrative re-sequencing, custom motion graphics, b-roll, sound design, or a flagship piece that has to be exactly right. No clip maker does these, at any price. > > **Do both if** you run a real content operation. Use the AI clip maker for the daily clip firehose and a human editor for the two or three hero pieces a month that deserve hands. That is cheaper than paying an editor for volume and better than asking software for art. > > **Bottom line:** normalize to cost per clip. An AI clip maker lands under $0.50 a clip; a freelance editor lands at $15 to $50+ a clip. They are not priced differently because one is worse — they are priced differently because they are doing different jobs. ## Why is this comparison usually unfair? Because most versions of it pretend the two options do the same work, and they do not. An AI clip maker watches a long video, finds the self-contained moments, cuts them at the speech boundary, reframes them to vertical, and burns in captions. It is very good at exactly that and does nothing else. A human editor can do that too, but can also rebuild a story out of order, add graphics and b-roll, fix audio, match music to picture, and make creative calls a model cannot. Fiverr's own guide puts the labor in plain terms: "one minute of finished video may require 1–2 hours of editing, or more for complex projects," and "a polished 3-minute video might take 6–12 hours or more" (Source: fiverr.com/resources/guides/video-animation/video-editor-cost, read 2026-09-21). So the fair question is not "which is cheaper for the same output." It is "what does each cost for the job it is actually good at." Priced that way, the answer is clear in both directions — and the rest of this post is the math. ## What does hiring a video editor actually cost in 2026? There are three ways to pay a video editor, and all three are worth knowing because the cheapest one depends on your volume. **Per project or per finished minute.** This is how most freelance short-form work is quoted. On Fiverr, a social media video is priced "$10 a minute and up" and a YouTube video "$5 a minute and up," where a "minute" means a minute of finished footage, not a minute of work (Source: fiverr.com/resources/guides/video-animation/video-editor-cost, read 2026-09-21). A basic editing job "averages $65 total on Fiverr," and advanced editing with effects and captions runs "$60 and up," with high-end commercial work reaching "as much as $450 a minute" (Source: fiverr.com/resources/guides/video-animation/video-editor-cost, read 2026-09-21). **Per hour.** Upwork's own cost page headlines video editor rates at "$10–$60/hr" (Source: upwork.com/hire/video-editors/cost/, verified 2026-09-21). Multiply by the editing time above — one to two hours per finished minute — and even short clips add up fast. **Full-time or in-house.** If you hire an editor as an employee, the median wage for film and video editors was $70,980 a year in May 2024, about $34 an hour, or roughly $5,900 a month before benefits (Source: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, film and video editors, accessed 2026-09-21). | Pricing model | Verified rate | Source | |---|---|---| | Per finished minute (social video) | $10/min and up | fiverr.com, read 2026-09-21 | | Per finished minute (YouTube) | $5/min and up | fiverr.com, read 2026-09-21 | | Basic project (average) | ~$65 | fiverr.com, read 2026-09-21 | | Advanced project (effects, captions) | $60 and up, to $450/min high-end | fiverr.com, read 2026-09-21 | | Hourly (freelance) | $10–$60/hr | upwork.com, verified 2026-09-21 | | Full-time (median wage) | $70,980/yr (~$34/hr, ~$5,900/mo) | bls.gov, accessed 2026-09-21 | The one figure that ties these together is the labor number: Fiverr's own estimate of one to two hours of editing per finished minute. It is why per-minute and per-hour pricing land in the same neighborhood, and why "just a few short clips" is never as quick as it sounds. ## What does an AI clip maker cost? An AI clip maker charges for input, not output — you pay for the source minutes it watches, and it returns as many clips as the video contains. Here is ScaleReach, held to the same dated-source rule as everything above (Source: scalereach.ai/pricing, verified 2026-09-21). | Plan | Annual price | Monthly price | Source minutes/mo | Cost per source minute (annual) | |---|---|---|---|---| | Free | $0 | $0 | 100 total (watermarked) | — | | Starter | $10/mo ($120/yr) | $12/mo | 200 | $0.05 | | Pro | $12.50/mo ($150/yr) | $18/mo | 400 | $0.031 | | Agency | $49/mo ($588/yr) | $99/mo | 5,000 | $0.0098 | Source: scalereach.ai/pricing, verified 2026-09-21. Because the meter is source minutes, the cost per clip falls the more of your minute bank you use. To turn minutes into clips, our pipeline data helps: a source over 60 minutes returns a mean of 18 clips (Source: ScaleReach pipeline data, 1,224 source videos and 7,101 clips, measured 27 July 2026). So Starter's 200 minutes is roughly three hour-long uploads, which is around 50 clips a month for $10 to $12 — about $0.20 to $0.24 a clip. On Agency, 5,000 minutes is far more clips than most creators will ever cut, at under a cent per source minute. ## The real cost comparison: 20 clips a month Here is a concrete, common workload: a creator who wants about 20 short clips a month — five a week — cut from their existing long-form video. Twenty clips is roughly one hour of source footage on our pipeline data, so it fits inside the smallest paid plan with room to spare. Here is what that same 20-clip month costs each way. | Option | How it is priced | Monthly cost for ~20 clips | Cost per clip | |---|---|---|---| | ScaleReach Starter | 200 source min ($10/mo annual) | $10–$12 | ~$0.50 or less | | Freelancer, per finished minute | $10/min social video (Fiverr floor) | $120–$150+ | $6–$8+ | | Freelancer, per hour | $10–$60/hr, ~0.5–1 hr per clip | $100–$1,200 | $5–$60 | | Freelancer, per clip (typical captioned short) | derived from Fiverr per-minute + project rates | $300–$1,000+ | $15–$50+ | Sources: ScaleReach from scalereach.ai/pricing (verified 2026-09-21); freelance rates from fiverr.com and upwork.com (read/verified 2026-09-21); clip yield from ScaleReach pipeline data (measured 27 July 2026). The per-clip freelance row is derived from the verified per-minute and hourly figures, not a single quoted number, and is labeled as such. The honest read of this table: the AI clip maker is one to two orders of magnitude cheaper for pure volume, and it is not close. The floor for a freelancer doing 20 captioned vertical clips — Fiverr's own baseline social-media rate, before any complexity — already sits at more than ten times the software cost, and a mid-market editor sits at fifty to a hundred times. This mirrors what we found pricing tools against each other in our [cost to clip 10 hours of podcast a month](/blog/cost-to-clip-10-hours-of-podcast-per-month/) breakdown: on repetitive clipping, per-source-minute software wins on cost every time. ## What you get for the money that the price does not show Cost per clip is the wrong number to optimize alone, so here is what each side actually delivers. **What the AI clip maker gives you that the freelancer's price cannot match:** speed and volume. Clips come back in minutes, not the "2 days" or "24-hour delivery" turnaround Fiverr gigs advertise, and the marginal cost of the twenty-first clip is effectively zero until you exhaust the minute bank. For anyone repurposing a weekly show, that is the whole value. Our [batch a month of shorts in one afternoon](/blog/batch-a-month-of-shorts-in-one-afternoon/) workflow is built on exactly this economics. **What the freelancer gives you that no clip maker does:** judgment. An AI clip maker surfaces moments that already exist in talking-style long-form; it does not invent structure. It will not re-sequence a story, cut in b-roll, build a custom lower-third, sync a track to picture, or fix bad audio. And clip makers have real blind spots worth naming — ours included: detection is weak on silent gameplay footage, screen-share recordings rarely survive a clean vertical crop, and a virality score is a triage tool for ordering a review queue, not a guarantee (we say the same in our [best AI video clipping tools](/blog/best-ai-video-clipping-tools/) roundup). If your video needs a human to make it good, the $15-a-clip software cannot do the job at any volume. Captions are the one place the two overlap cleanly and the software wins outright: auto-captioning is mechanical, and paying an editor by the finished minute to add captions is spending judgment money on a commodity task. That is the argument in [how to add captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/) — get them from the tool, spend the human hours elsewhere. ## When should you still hire a video editor? When the deliverable is a specific, high-stakes piece rather than a stream of clips. A launch video, a brand film, a sales VSL, a documentary-style YouTube upload, a wedding — anything where the edit is the product and it has to be right. Fiverr's higher tiers exist for exactly this, and "$60 and up" or "$450 a minute" for high-end commercial work is not overpriced when a human is making creative decisions a model cannot (Source: fiverr.com/resources/guides/video-animation/video-editor-cost, read 2026-09-21). The mistake is paying editor rates for clip-maker work: handing a freelancer a two-hour podcast every week and asking for twenty vertical cuts with captions. That is the job software was built for, and doing it by hand burns a budget that should go toward the pieces that actually need a person. The reverse mistake — expecting a clip maker to produce a bespoke brand film — is just as costly in a different currency. ## FAQ ### Is an AI clip maker cheaper than hiring a video editor? Yes, by a wide margin, for repetitive clipping work. Cutting about 20 captioned vertical clips a month costs $10 to $12 on ScaleReach Starter (Source: scalereach.ai/pricing, verified 2026-09-21), against a floor of roughly $120 to $150 at Fiverr's baseline social-media rate of $10 per finished minute and up (Source: fiverr.com, read 2026-09-21), and more for anything advanced. Per clip, that is under $0.50 versus $6 to $50+. The tool is cheaper because it does mechanical work, not creative work. ### How much does a freelance video editor cost in 2026? Freelance video editors on Upwork are priced at "$10–$60/hr" on Upwork's own cost page (Source: upwork.com/hire/video-editors/cost/, verified 2026-09-21). On Fiverr, work is usually quoted per finished minute — "$10 a minute and up" for social video — with a basic project averaging $65 and advanced work "$60 and up" (Source: fiverr.com/resources/guides/video-animation/video-editor-cost, read 2026-09-21). A full-time in-house editor's median wage was $70,980 a year, about $5,900 a month before benefits (Source: U.S. Bureau of Labor Statistics, accessed 2026-09-21). ### How much does an AI clip maker cost per month? ScaleReach runs from a free tier (100 watermarked minutes) to Starter at $10 a month annual ($12 monthly, 200 source minutes), Pro at $12.50 annual ($18 monthly, 400 minutes), and Agency at $49 annual ($99 monthly, 5,000 minutes) (Source: scalereach.ai/pricing, verified 2026-09-21). Most solo creators fit inside Starter or Pro. For a full tool-by-tool comparison, see our [best free AI clip generator](/blog/best-free-ai-clip-generator-2026/) breakdown. ### Can an AI clip maker replace a video editor entirely? No, and it is worth being clear about that. AI clip makers surface and cut moments that already exist in long-form video; they do not re-sequence stories, add b-roll or custom motion graphics, do sound design, or make creative calls. For flagship or bespoke pieces you still want a human. The right split for most teams is software for the daily clip volume and an editor for the two or three hero pieces a month that need hands. ### How many clips can an AI tool make from one video? On our pipeline data, a source over 60 minutes returns a mean of 18 clips (Source: ScaleReach pipeline data, 1,224 source videos and 7,101 clips, measured 27 July 2026). A freelancer would bill each of those as a separate deliverable; the tool returns all of them from one upload against your monthly minute bank, which is why the cost per clip collapses as your volume rises. ### Is it worth paying a video editor for captions? Usually not. Auto-captioning is a mechanical task, and paying an editor by the finished minute to do it spends judgment-priced hours on commodity work. Get captions from the clip maker and reserve human time for the parts of a video that actually need a person, as we argue in [how to add captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/). ## The bottom line Price both options for the job each is good at, not for a job they share. An AI clip maker turns long-form video into a stream of captioned vertical clips for $10 to $18 a month — under $0.50 a clip, and less as your volume rises. A freelance video editor, priced off Fiverr's and Upwork's own pages, runs $15 to $50+ a clip because a person is doing work software cannot: structure, graphics, sound, judgment. The gap is not a quality gap, it is a job gap. So the real answer is rarely "one or the other." Use the clip maker for the repetitive volume that would bankrupt an editor's invoice, and hire the editor for the handful of pieces a month that deserve a human. That split is cheaper than paying editor rates for clip work and better than asking a model for art. Every figure here was read from the vendor's own page on 21 September 2026 and is dated in the tables. If one is wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- # What Makes a YouTube Shorts Retention Graph Good vs Bad URL: https://www.scalereach.ai/blog/youtube-shorts-retention-graph-good-vs-bad Published: 2026-09-19 · Author: Hevin K Tags: YouTube Shorts, Audience Retention, Analytics, Short-Form Video Open YouTube Studio, click into a Short, and the first thing you look at is a line that starts near 100% and falls. That line is the audience retention graph, and its shape is the most honest readout of whether the Short is working. A good one is nearly flat. A bad one falls off a cliff in the first few seconds. The space between those two shapes is where most Shorts advice waves its hands, so this post pins it down two ways: with YouTube's own definitions of each curve, and with our first-party pipeline data on the one variable that quietly decides the shape, clip length. Across 1,715 source videos and 5,683 generated clips, the median Short we cut runs 44 seconds and 74.7% come in at 60 seconds or less (Source: ScaleReach pipeline data, measured 2026-09-19). Here is why that matters for the graph. ## What is a YouTube Shorts retention graph? A YouTube Shorts retention graph is a line showing the percentage of viewers still watching at each moment of the clip, plotted from the first second to the last. YouTube's own documentation describes the audience retention report as showing "the percent of viewers that made it to each second of your video" (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). On top of that base line, YouTube can overlay a "key moments for audience retention" report that labels four moment types: Intro, Top moments, Spikes, and Dips (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). There is a catch that matters enormously for Shorts, and almost no guide mentions it. That labeled overlay only appears when a video is "at least 60 seconds long and has at least 100 views" (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). Since 74.7% of the clips our pipeline generates are 60 seconds or under (Source: ScaleReach pipeline data, measured 2026-09-19), most Shorts never trigger the overlay at all. You read the base curve instead, plus the Shorts-specific numbers. For Shorts, YouTube Studio also reports "viewed vs swiped away" in the Shorts view of the Content tab: the share of times viewers kept watching instead of scrolling past. On a Short, that first-frame decision carries more weight than any moment later in the clip. One more practical note from YouTube: audience retention data "typically takes 1 to 2 days to process," so a Short is not judgeable in its first hour (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). ## What does a good YouTube Shorts retention graph look like? A good retention graph is close to flat. YouTube states it plainly: "When the line on the chart is flat, it means viewers are watching that part of your video from start to finish" (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). A near-flat line from open to close is the signal you want. Three things define a healthy curve: - **A strong intro.** YouTube defines the intro metric as "what percentage of your audience still watched your video after the first 30 seconds." On a 44-second Short, the first 30 seconds is most of the clip, so a high intro number is nearly the whole game. - **Top moments where almost no one leaves.** YouTube labels these as moments "where almost no one dropped off while watching." - **A shallow taper, not a slide.** Good does not mean perfectly flat. YouTube notes that "videos on YouTube generally taper off during the playback period," so a gentle, even decline through the body of the clip is normal and healthy. A spike, where viewers rewatch or share a segment, is a bonus on top. ## What does a bad YouTube Shorts retention graph look like? A bad retention graph has one of a few recognizable shapes, and each points at a different problem. - **A cliff in the first few seconds.** This is a swipe-away problem: the hook did not land and viewers scrolled before your idea started. On the Shorts "viewed vs swiped away" metric, it shows up as a low viewed share. It is the single most common bad shape, and the most fixable. - **A steep, continuous decline.** Not the shallow taper YouTube calls normal, but a fast slide. YouTube attributes gradual declines to viewers "losing interest over time"; when the slide is steep, they are losing interest quickly. - **A deep mid-clip dip.** YouTube says "dips mean that viewers are abandoning or skipping at that specific part of your video." On a short clip, a dip is almost always dead air, a tangent, or a windup that should have been cut. - **An end-of-clip cliff.** Many auto-cut or padded clips die in the final seconds because the moment already ended but the clip kept running. ## Why clip length is the hidden variable behind the shape The shape of a retention curve is bounded by how long the clip is. A 3-minute Short has three minutes over which to lose people; a 40-second Short has forty seconds. Shorter clips produce flatter curves and a higher average percentage viewed almost by construction, because there is simply less runway on which the line can fall. Our pipeline optimizes for that without anyone tuning it for "retention." It hunts for the strongest self-contained moment and cuts at the natural speech boundary where that moment ends. The result: a median clip of 44 seconds, a mean of 48, a minimum of 6, and a maximum of 180 (Source: ScaleReach pipeline data, 5,683 clips, measured 2026-09-19). 74.7% run 60 seconds or less, and just over half (51.1%) land in the 30-to-60-second band. 93.8% are the default self-contained "viral-clips" type, and 97.6% are 9:16 vertical (Source: ScaleReach pipeline data, measured 2026-09-19). Padding a clip to fill a platform cap is the exception here, not the rule. This loops straight back to the graph. Because 74.7% of clips are 60 seconds or under, most never trigger YouTube's labeled key-moments overlay, which needs a video of at least 60 seconds. That is not a loss. On a 44-second clip, the base curve plus "viewed vs swiped away" and average percentage viewed already tell you everything. The lesson actually runs the other way: if you find yourself padding clips past 60 seconds just to unlock the fancy overlay, you are trading a flatter curve for a report you do not need. For the platform-by-platform breakdown of how long a clip should run, our post on [podcast clip length across TikTok, Reels, and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) has the numbers. ## How do you fix a bad intro on a Short? You fix it by cutting the windup and putting the payoff, or a promise of it, in the first frame. YouTube's intro metric measures the percentage of viewers "still watching after the first 30 seconds," and on a Short that window is most of the runtime, so the intro cliff is the retention problem, not a warm-up to it. Two moves do most of the work: 1. **Start where the energy already is.** If the clip opens on "so today we're going to talk about," it is already losing. Cut to the moment. The [first sentence of a Short is the whole game](/blog/how-to-turn-youtube-videos-into-shorts/), and it decides the swipe. 2. **Frame the payoff visually in the first three seconds.** 55.8% of the clips our pipeline generates get an AI-written intro title burned into the first 3 seconds, 3,169 of 5,683 (Source: ScaleReach pipeline data, measured 2026-09-19). That single line tells a scroller what they are about to get before the audio even registers, aimed squarely at the viewed-vs-swiped-away decision. For the length, wording and formulas behind those titles, see [our guide to writing a short-video hook](/blog/how-to-write-a-hook-for-short-videos/). Captions carry the same first impression for the roughly 85% of viewers watching muted, so a clean caption style is retention infrastructure, not decoration, as we covered in [how to add captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/). ## How do you read spikes and dips on a Short? Read them as instructions, not verdicts. YouTube defines spikes as "moments in your video that were rewatched or shared" and offers two readings: either that segment genuinely landed, or "your content isn't clear and your audience had to rewatch a section." On a clean clip, treat a spike as the moment to make more of. Dips are the mirror image. YouTube says they highlight "moments in your video that were either skipped or moments where viewers stopped watching your video completely." On a short clip, a dip is nearly always a pacing problem, a pause or a tangent that earns a cut next time. Two honesty caveats. First, as above, the labeled spikes and dips only show for videos of at least 60 seconds with at least 100 views, and the data lags 1 to 2 days (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19), so a fresh sub-60-second Short often shows no labeled moments at all. Judge it on the base curve and the swipe-away share. Second, on the prediction side, be skeptical of any single "this will retain" score, including ours: our virality score bunches high, with 84.8% of clips landing at 80 or above (Source: ScaleReach pipeline data, measured 2026-09-19), which makes it useful for ordering a review queue and close to useless as an absolute guarantee. If you want to sanity-check a clip before posting, the [video virality score tool](/tools/video-virality-score-tool/) is the right place to do it, with that caveat in mind. ## Good vs bad Shorts retention graph, side by side | Curve shape | What YouTube says it means | Likely cause | The fix | |---|---|---|---| | Flat or shallow taper | Viewers watching start to finish | Tight clip, hook landed | Keep it; make more of the spike moments | | Cliff in first 3 to 5 seconds | Swipe-away, intro did not hold | Slow windup, weak first frame | Cut to the moment; add a first-3-seconds title | | Steep continuous slide | Losing interest quickly | Clip too long or padded | Trim to the payoff; aim for 60 seconds or less | | Deep mid-clip dip | Skipped or abandoned there | Dead air, tangent | Cut the dead segment | | End-of-clip cliff | Stopped at the end | Moment ended, clip kept running | End at the payoff, not after it | Sources: curve and moment definitions from support.google.com/youtube/answer/9314415 (verified 2026-09-19); length guidance from ScaleReach pipeline data, median 44 seconds across 5,683 clips (measured 2026-09-19). ## FAQ ### What is a good retention rate for a YouTube Short? YouTube does not publish an official "good" threshold, and public benchmarks vary widely by niche and length, so quoting a single percentage would be guessing. The reliable rule is directional: the flatter the retention curve and the higher the "viewed vs swiped away" share, the better the Short is doing. Shorter clips make both easier, which is why our pipeline's median clip is 44 seconds (Source: ScaleReach pipeline data, measured 2026-09-19). ### Do YouTube Shorts even have a retention graph? Yes. Audience retention is measured at the video level and applies to Shorts. But the labeled key-moments overlay, with Intro, Top moments, Spikes, and Dips, only appears for videos at least 60 seconds long with at least 100 views (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). Sub-60-second Shorts show the base retention curve plus Shorts-specific metrics like viewed vs swiped away and average percentage viewed. ### Why does my Short's retention drop in the first few seconds? That is a swipe-away, or hook, problem: viewers decided before your idea started. Cut the windup and put the payoff, or a clear promise of it, in the first frame. 55.8% of the clips our pipeline generates carry an intro title in the first 3 seconds for exactly this reason (Source: ScaleReach pipeline data, measured 2026-09-19). ### Is a flat retention graph actually good? Yes. YouTube states that a flat line "means viewers are watching that part of your video from start to finish." A shallow, even taper through the body of the clip is normal and healthy; a cliff or a steep slide is the problem to chase. ### How long should a Short be for good retention? Short enough that the curve has little room to fall. Our median clip is 44 seconds and 74.7% of clips are 60 seconds or less (Source: ScaleReach pipeline data, measured 2026-09-19). Set length by the moment, not the platform cap; the [clip-length breakdown by platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) has the specifics. ### How soon can I check a Short's retention graph? Not immediately. YouTube notes that audience retention data "typically takes 1 to 2 days to process," and the labeled key moments also need at least 100 views (Source: support.google.com/youtube/answer/9314415, verified 2026-09-19). Do not judge a Short in its first hour. ## The bottom line The good graph is flat; the bad graph is a cliff. YouTube's own labels tell you what you are looking at: a flat line means viewers watched start to finish, dips mean they abandoned or skipped, and the intro number is the share who held past 30 seconds. What decides the shape before you ever open Studio is length and the first frame. Keep clips short, our median is 44 seconds and 74.7% run 60 seconds or less (Source: ScaleReach pipeline data, measured 2026-09-19), cut the windup, and end at the payoff. Do that and the curve mostly flattens itself. If you are building a channel from scratch, [the zero-to-monetization playbook with AI clips](/blog/how-to-grow-youtube-channel-from-zero-using-ai-clips/) puts this to work, and if the goal is income rather than views, read [how Shorts actually make money](/blog/how-to-earn-money-from-youtube-shorts/) next. --- # How to Batch a Month of Shorts in One Afternoon URL: https://www.scalereach.ai/blog/batch-a-month-of-shorts-in-one-afternoon Published: 2026-09-17 · Author: Hevin K Tags: Workflow, Content Repurposing, YouTube Shorts, Short-Form Video Say you publish three shorts a week. That's roughly 13 clips a month. Most creators make those 13 clips one at a time, in 13 separate editing sessions, spread across 13 moments of "ugh, I have to make a clip today." This post is the opposite approach: batch content creation, where one afternoon produces the whole month. Not by editing faster. By changing the order of the work so the editing barely happens at all. I'll walk the workflow the way we built it in ScaleReach, step by step, with the actual pipeline underneath. If you follow it, your next four Sundays are free. ## What can one afternoon of batch content creation actually produce? Let's do the math with a hypothetical. Say you post three shorts a week across TikTok, Reels, and YouTube Shorts. Thirteen clips a month. Now the source side. A 45-minute podcast episode typically holds 10 or more distinct moments worth clipping, and [how many clips one hour of podcast gives you](/blog/how-many-clips-from-a-one-hour-podcast/) breaks the yield down by source length. A 30-minute webinar holds fewer but they're often stronger, because every point was deliberately explained. A 20-minute YouTube video might give you 5 or 6. So a month of shorts needs somewhere around four source videos. Not 13 recordings. Four things you were already going to record anyway. That's why the afternoon works. You're not creating 13 pieces of content from scratch. You're extracting 13 clips from material that already exists, and the extraction is mostly a review job, not an edit job. ## How does the batch workflow run end to end? Here's the pipeline, and this is the part most people get wrong: the order matters more than the tools. **Step 1: Get the source videos in.** Upload your files, or if a video is already on YouTube, just paste the URL. The URL route is the underrated one. If your long-form is already published, there's no re-export, no download step, no 2GB upload waiting on your wifi. Paste the link and move on. **Step 2: Let the AI find the moments.** Each video gets scanned for candidate moments, the segments where something actually happens: a strong claim, a shift in energy, a quotable line. You don't scrub the timeline. You don't rewatch your own video at 1x like it's someone else's podcast. The candidates come to you. **Step 3: Filter, don't hunt.** This is the core skill of batching and I'll be blunt about it: your job is to say yes or no, quickly. Does the first two seconds make a stranger stop? Does the clip stand alone without the full episode? Would you send it to a friend? If yes, keep it. If you're unsure, that's a no. Unsure clips are where afternoons go to die. **Step 4: Let the reframe happen.** The clips you keep get reframed from 16:9 to 9:16. This isn't a dumb center crop. Our smart crop runs face detection and builds the crop coordinates around where the speaker actually is, then renders the vertical version. For two-person podcast setups this is the difference between a clip that looks native and one where someone's forehead gets amputated. **Step 5: Schedule the whole batch.** Approved clips queue up and the scheduler publishes them to Instagram Reels and YouTube Shorts through the official platform APIs (TikTok is a manual upload for now; the scheduling section below explains why). You pick the cadence once, the queue does the rest. No export, no download to your phone, no "I'll post this later." The rendered clips live in storage tied to your workspace, so nothing depends on a folder on your laptop. That sounds like a small thing until the laptop dies. If you would rather queue the batch from a chat window than a dashboard, the same steps work through an AI assistant. Here is [how to clip YouTube videos with Claude and the ScaleReach MCP server](/blog/clip-youtube-videos-with-claude-mcp/), including what it cannot do yet. If you want the free version of this test: the free tier gives you 100 processing minutes, watermarked, with a 30-minute cap per upload. That's enough to run two or three source videos through and see whether the candidates it finds match your own judgment. It's the honest way to evaluate any clipping tool, ours included: don't trust the marketing page, trust whether the moments it picks are the ones you'd have picked. ## What does the afternoon look like hour by hour? Here's a realistic shape for the session. Treat these as example numbers, not a promise, because your filtering speed is the variable: | Time | What you're doing | What the tool is doing | |---|---|---| | 0:00 to 0:10 | Add source videos or paste YouTube URLs | Queuing uploads for processing | | 0:10 to 0:30 | Step away, answer email, pretend to relax | Scanning for candidate moments | | 0:30 to 1:30 | Review candidates, keep the ones that pass, drop the rest | Reframing approved clips to vertical | | 1:30 to 2:00 | Set captions once, skim each clip's open | Rendering and storing final clips | | 2:00 to 2:15 | Pick a cadence and schedule the batch | Queueing posts to TikTok, Reels, and Shorts | Two to three hours, one sitting, one month handled. The session is mostly judgment calls in the middle hour. Everything before it is waiting and everything after it is done for you. The mistake is chopping this session into daily pieces. One clip a day is 13 decisions made cold, with 13 ramp-ups, in 13 moods. The batch gives you one mood, one standard, one pass. Consistency comes from the single sitting, not from discipline. ## Why does one caption style make or break the batch? Pick one caption look and never touch it again. One font, one placement, one accent color. Lock it in the first ten minutes of the session and spend zero minutes on it for the rest of the afternoon. This sounds boring. It is boring. It's also the difference between a two-hour session and a five-hour one. Every time you redesign the caption mid-batch, you reopen a decision that should have been closed, and every reopened decision is a chance to quit. The same goes for hooks. You don't need a novel hook format per clip. If a candidate's first spoken line already works, ship it. Add a text overlay only when the opening genuinely needs context. Most don't. If you want a fuller breakdown of what makes an opening line work, read [how to turn YouTube videos into shorts](/blog/how-to-turn-youtube-videos-into-shorts/), because the first sentence is doing more work than any caption style ever will. My opinion, stated plainly: the caption styling rabbit hole is where batching goes to die. Not the AI detection, not the crop, not the scheduling. The font menu. ## How do you schedule a month of shorts in advance? Scheduling is the step people skip, and it's the step that makes the whole system real. An approved clip sitting in a folder is not content. It's a plan that expires. The mechanics are simple. Each approved clip gets a slot in the queue, and the scheduler publishes through the official TikTok, Instagram, and YouTube APIs. No copy-paste across apps, no phone notifications begging you to post manually. One afternoon of scheduling covers the month, and you can adjust the queue later without redoing anything. One exception today, and it matters if TikTok is your main channel: TikTok only accepts private posts from apps it has not finished auditing, and ours has not passed that audit yet. Until it does, upload your TikTok clips by hand; YouTube Shorts and Instagram Reels publish from the queue as described. The platform rules behind that, and which other tools can post for you, are covered in [which clip tools actually auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). A few practical notes from doing this a lot: - Match each platform's native format. The same clip can go everywhere, but check the [repost rules before cross-posting](/blog/repost-youtube-video-tiktok-without-getting-flagged/), because watermarked cross-posts get suppressed and that kills the reach of an otherwise good batch. - Space posts instead of dumping them. The algorithm reads steady output as a signal; posting four clips in an hour and then silence for a week reads the opposite. - Leave one or two flex slots empty each week. When something timely happens, you have a slot for it without wrecking the queue. If your source is a podcast rather than a YouTube video, the workflow is identical but the filtering criteria change, energy matters more than polish. The [podcast to TikTok workflow](/blog/podcast-to-tiktok-workflow/) covers that in detail. ## What usually kills a batching session? Three things, and none of them are the tool. **Perfectionism at the filter step.** Reconsidering a clip you already said no to, or trying to rescue a mediocre moment with a clever caption. A mediocre moment with great packaging is still a mediocre moment. Cut it and keep moving. **Stopping mid-batch.** Filtering six clips, feeling good, deciding to "finish the rest tomorrow." Tomorrow's you has less context and less patience. The afternoon only works if the session actually ends with everything scheduled. Undecided is unshipped. **Rebuilding the schedule every week.** If you re-decide your posting cadence, your caption style, and your hook format every session, you don't have a workflow. You have 13 separate projects wearing a trench coat. Decide once. Revisit monthly, not weekly. ## FAQ ### What is batch content creation? Batch content creation means producing a period's worth of posts in one dedicated sitting instead of creating each post on the day it goes out. For short-form video, that means extracting and packaging all your clips for the month in one session, then scheduling them to publish automatically. ### How many shorts should I post per week? There's no single number every creator should hit, but three per week is a realistic baseline that a single afternoon can produce from a few source videos. Consistency matters more than raw volume: two clips every week beats five clips one week and nothing the next. If you want to push well past that, the same math scales: four source videos at eight clips each is 32 shorts, so a second afternoon gets you to roughly one a day. ### How many videos do I need for a month of shorts? Around four source videos per month covers a three-per-week posting pace, assuming a 30 to 45 minute episode yields 8 or more usable moments. You don't need more recordings. You need more extraction from what you already record. ### Can I schedule shorts in advance instead of posting daily? Yes. ScaleReach's scheduler queues approved clips and publishes them to Instagram Reels and YouTube Shorts through the official platform APIs, so a batch scheduled in one afternoon publishes itself across the month without daily manual posts. TikTok is the exception for now: it only accepts private posts from our app until TikTok's audit of it clears, so post TikTok clips manually in the meantime. ### How long does it take to batch a month of content? With AI clip detection doing the finding and reframing, a realistic session is two to three hours: roughly 20 minutes of setup, about an hour of filtering candidates, and 15 to 30 minutes of caption and scheduling work. Manual editing of the same volume takes far longer because every clip is cut by hand. ### Is batching content actually worth it? Yes, and for a non-obvious reason. The clips are the visible benefit, but the real one is that a fixed afternoon stops short-form from bleeding into every day. You reclaim the mental overhead of "I still need to make a clip today," which is usually what makes creators quit posting altogether. ## The bottom line Batch in one pass, from one source list: run your long-form videos through clip detection, say yes or no to the candidates, reframe once, schedule everything, and close the tab. That's the whole afternoon. The month of shorts isn't made of extra effort. It's made of 13 judgment calls in a single sitting instead of 13 sessions spread across your life. The tool finds the moments and handles the rendering and the publishing. You bring the only thing it can't: knowing which of your own moments are actually worth watching. Stop making a clip today. Make thirteen on Thursday. --- # Can You Use Descript as a Team? 2026 Pricing & Credits URL: https://www.scalereach.ai/blog/descript-review-for-short-form-teams Published: 2026-09-17 · Author: Hevin K Tags: Descript, Review, Pricing, Short-Form Video Descript bills a short-form team on two separate meters at once: media minutes and AI credits. Paid plans start at $16 per person per month on annual billing ($24 monthly), and neither meter rolls over at the end of the cycle. That two-meter design is the single most important thing to understand before you put a clipping workflow on Descript, because it means the honest answer to "what does a clip cost me?" is that Descript does not publish a number you can compute in advance. Disclosure: I run ScaleReach, a tool that also turns long videos into clips, so Descript is a competitor. No affiliate relationship. **This is a sourced review, not a hands-on 30-day test** — unlike my [Klap review](/blog/klap-review-for-short-form-teams/), I did not buy a Descript plan and run five videos through it. Every figure below is what Descript publishes on its own pricing page, help centre, or public feature board as of 2026-09-17, and where Descript does not publish a number, this post says so instead of estimating one. ## The 60-second verdict > **Buy if** you want a real editor first and clipping second. Descript is a text-based video editor that happens to make clips, and as an editor it is genuinely excellent. > > **Try if** you are a 1–3 person team on Creator, where 1,800 pooled media minutes per editor per month at $24 annual is the cheapest ingest cost in this category. > > **Skip if** you need predictable per-clip cost, ranked virality scoring, or scheduled publishing to TikTok, Reels, and Shorts. Descript has none of the three. > > **Bottom line:** Descript is the strongest tool in this comparison set at everything *except* being a clip firehose. G2 rates it 4.6/5 across 921 reviews, and its most-tagged complaints are learning curve and slow performance, not quality. If your bottleneck is "make this footage good," Descript wins. If your bottleneck is "get 40 clips out the door this week," the two-meter billing and the 20-clip-per-run cap will fight you. ## What is Descript? Descript is a text-based video and audio editor: it transcribes your recording and lets you edit the video by editing the transcript, so deleting a word deletes the footage. Clipping is one AI tool inside a much larger editing product, not the product itself. What it does, in four bullets: - Edits video by editing a document — delete a sentence, or every "um," and the footage follows - Transcribes in 25 languages, detects 8+ speakers, and handles multitrack recordings with per-speaker tracks - Runs an agentic AI co-editor called Underlord that applies edits, generates media, and can create clips from a prompt - Records remote guests in Descript Rooms with up to 10 participants and separate cloud backup per session Descript markets itself as used by more than 6 million creators and teams, and is SOC 2 Type II compliant. Source: [descript.com/pricing](https://www.descript.com/pricing) (verified 2026-09-17). ## How I sourced this review I want to be precise about what this post is, because the format below looks like my hands-on reviews and it is not one. **What I did:** read Descript's pricing page and full feature-comparison table, its help centre articles on billing, media minutes, AI credits, and Create Clips, and its public feature-request board. Cross-checked the reputation figures against G2. **What I did not do:** buy a plan, upload source video, count usable clips, spot-check caption accuracy, or time a render. So there is no out-of-the-box clip percentage in this post, and no measured caption-accuracy table. My [Klap](/blog/klap-review-for-short-form-teams/) and Vizard reviews have those numbers because I paid for those tools and ran video through them. Publishing invented equivalents for Descript would make every other number here worth less. **What that means for you:** treat this as a rigorous read of Descript's pricing structure and feature gates, which is the part most reviews get wrong anyway, and treat output-quality questions as open. ## Descript pricing 2026: what a short-form team actually pays Descript prices per person, per month, and every plan carries its own allowance of both meters. The pricing page shows the annual-billed rate as the headline figure with the monthly rate beside it, so be careful which one you are reading. | Plan | Annual (per person/mo) | Monthly (per person/mo) | Media minutes/mo | AI credits/mo | Seats | Export | |---|---|---|---|---|---|---| | Free | $0 | $0 | 60 (1 hr) | 100 one-time | 1 | 720p, watermarked | | Hobbyist | $16 | $24 | 600 (10 hrs) | 400 | 1 | 1080p, watermark-free | | Creator | $24 | $35 | 1,800 (30 hrs) | 800 | 1–3 | 4K | | Business | $50 | $65 | 2,400 (40 hrs) | 1,500 | up to 5 | 4K | | Enterprise | Custom | Custom | Custom | Custom | Custom | 4K | Source: [descript.com/pricing](https://www.descript.com/pricing) (verified 2026-09-17). ### Two billing details that surprise teams **Each drive has its own subscription.** A Descript account can own several drives, and every drive is billed separately with its own plan. Owning a plan on your drive does not give you editor access to someone else's. If you own two drives, you see two charges. Source: [help.descript.com/billing-payments-plans/overview](https://help.descript.com/billing-payments-plans/overview) (verified 2026-09-17). **Seats pool their allowances.** This one works in your favour. The total media minutes and AI credits on a drive scale with the number of editor seats, and any editor can draw from the shared pool. Viewers and project-level editors cannot use features that consume either meter. Descript's own billing example: 2 editors on Business monthly is 2 × $65 = $130/month. So a three-person team on Creator annual pays 3 × $24 = **$72/month** and pools 5,400 media minutes and 2,400 AI credits. On ingest cost alone that is very hard to beat. ### Worked example: cost per source minute Media minutes are the meter that maps cleanly onto "how much video did I feed it," so that is the only fair per-minute comparison. Annual billing, single editor: | Plan | Annual $/mo | Media minutes | Cost per source minute | |---|---|---|---| | Hobbyist | $16 | 600 | $0.027 | | Creator | $24 | 1,800 | **$0.013** | | Business | $50 | 2,400 | $0.021 | Creator at roughly $0.013 per source minute is genuinely cheaper than ScaleReach Starter's $0.05, and cheaper than Opus Clip and Vizard at about $0.10. I am not going to pretend otherwise. **The catch is that this number only buys ingest.** It covers uploading and transcribing the footage. It does not cover the clipping, the Studio Sound pass, the filler-word removal, or anything Underlord does, because all of those draw the *second* meter. Which brings us to the real problem. ## Can you use Descript as a team? Yes. Can you use Descript as a team in practice? Creator supports 1 to 3 editor seats, Business up to 5, and Enterprise is custom. Editors on a drive pool their media minutes and AI credits, and everyone pays per seat. Rooms records up to 10 participants in one session. Four rules decide whether it works for a short-form team: 1. **Only editors draw from the pool.** Viewers and project-level editors cannot use features that consume either meter. 2. **Billing is per drive, not per account.** Each drive has its own plan and its own charge, so a team that splits clients across drives pays for each one. 3. **The AI meter is the shared risk.** Three editors prompting Underlord drain the same credit pool, and Descript publishes no fixed price per action. 4. **Nothing rolls over.** Unused minutes and credits reset at renewal, for the whole team at once. For a team that wants one shared editor, this works well. For a team that needs a shared publishing calendar, it does not, because Descript has no scheduler (covered below). ## Can you compute your cost per clip on Descript? No, and this is not a gap in my research — Descript says so in its own documentation. AI credit costs come in two flavours. Manual tool applications are deterministic: run the same input twice, pay the same twice, scaling with media length and the model you pick. But Underlord is explicitly non-deterministic. Descript's wording: there is "no fixed price per action," because the same kind of task can consume different amounts depending on media length, model selection, and what the AI ends up generating. Worse for budgeting, an Underlord run bills you twice for one action: - the "agent brain" working out what to do, and - the tool that does the actual work Even chatting with Underlord without invoking a tool spends a few credits per message. Source: [help.descript.com media minutes and AI credits](https://help.descript.com/billing-payments-plans/track-and-understand-your-media-minutes-and-ai-credits) (verified 2026-09-17). Two mitigations worth knowing. Studio Sound and Remove Filler Words are capped at **30 credits per file per application**, so those two cannot run away from you. And the Usage tab reports exactly what each run cost after the fact. But "after the fact" is the whole issue. Every dedicated clipping tool meters one thing — source minutes, uploads, or output clips — so you can forecast a month before you commit. On Descript you can forecast your ingest and then find out what the AI cost when the invoice arrives. If you want to see how that forecasting works when there is only one meter, I broke down [what it costs to clip 10 hours of podcast a month](/blog/cost-to-clip-10-hours-of-podcast-per-month/) across tools. Three more things that consume the meters and catch people out: 1. **Still images cost media minutes.** One image counts as one second. 2. **Rooms recordings bill session length, not per participant.** A 1-hour session with 5 people is 60 media minutes, not 300. This one is in your favour. 3. **API and MCP work draws the same pools.** Imports and Underlord edits started from the Descript API or MCP spend the same media minutes and AI credits as work done in the app. Neither meter rolls over. Unused minutes and credits reset at renewal. ## How does Descript's Create Clips work? Create Clips lives in the AI Tools panel under Repurpose. You set the number of clips and the length, optionally pick a layout and give it a steer, and Descript generates each clip as its own editable composition in a "Clips from [composition name]" folder. The published limits: | Control | Range | |---|---| | Number of clips per run | 1–20 | | Clip length | 10 seconds to 5 minutes | | Layouts | Portrait 9:16 and square 1:1 presets, plus gallery and custom layout packs | | Guidance | Optional topic, goal, or criteria to steer selection | Your source composition has to be at least as long as the clips you want, and anything under a minute may not generate clips at all. You can also just ask Underlord to do it in natural language. Source: [help.descript.com Create Clips](https://help.descript.com/repurpose/create-clips-from-your-content) (verified 2026-09-17). Two structural gaps against dedicated clippers, both visible in that table: **There is no virality score.** Descript identifies "the most engaging moments" but publishes no ranked 0–100 output you can sort by. If your workflow is "generate 30, publish the top 8," you are doing that triage yourself. Whether ranked scores are actually predictive is a fair argument — I found high-scored clips underperforming often enough in my other testing to treat scores as a prioritisation hint, not truth — but the absence of any ranking still means more manual review. **The cap is 20 clips per run.** For a weekly podcast that is plenty. For an agency pushing several clients through in one sitting, you are running the tool repeatedly and spending non-deterministic credits each time. The upside is that each clip lands as a real composition in a real editor, which is more than most clippers give you. Once you have the moment, [the length that performs on each platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) is the other half of the decision, and Descript's 10-second-to-5-minute range covers all of it. ## Does Descript schedule social media posts? No. Descript can publish to YouTube and generate the caption copy, but it cannot schedule a post or push video to TikTok, Instagram, or LinkedIn on a calendar. The evidence here is Descript's own public feature board rather than my reading of the marketing: a "Publishing Scheduler" request has been open since December 2022, and it has absorbed merged duplicates including "Social Media Scheduler - Publish Direct From Descript" (August 2024) and several asking specifically to schedule YouTube uploads from inside Descript. Source: [descript.canny.io publishing-scheduler](https://descript.canny.io/feature-requests/p/publishing-scheduler) (verified 2026-09-17). Read the AI tool named "Publish" carefully, because the name oversells it. It drafts social posts, blog posts, show notes, and summaries. It writes the words. It does not post them. Practically, a short-form team on Descript exports finished clips and then does distribution in a separate scheduler. That is a real second subscription and a real weekly handoff, and it is the gap that matters most if your actual problem is publishing cadence rather than edit quality. ## What Descript does better than dedicated clippers Being fair here matters more than usual, because Descript beats us and everything else in its class on several axes. **Timeline export to real NLEs.** Creator and Business export editable timelines to Adobe Premiere, Final Cut Pro, Pro Tools, Logic, Adobe Audition, and Samplitude & Reaper. Most clipping tools, Klap included, hand you a rendered MP4 and nothing else. If a clip needs finishing in Premiere, Descript is the only tool in this comparison that hands over a project. Across the wider category, only Opus Clip (Pro and up) does the same; see [which AI clip makers export to Premiere Pro and DaVinci](/blog/ai-clip-maker-export-to-premiere-pro-davinci/). **Self-serve API, MCP, and Zapier.** Descript ships a documented API, an MCP integration for Claude and ChatGPT, and a Zapier connector. I have described MCP support as a ScaleReach differentiator in older reviews of other tools. Against Descript that claim is simply false, and it would be dishonest to leave the impression standing. **It is an actual editor.** Script editing, scene editor, layers, animation, transitions, custom fonts on Creator and up. Nothing in the dedicated-clipper category is close. **Translation breadth.** Captions in 61 languages, audio dubbing in 30. Business adds translation proofreading, a "do not translate" list for brand names, and native-sounding AI speakers in 14 languages. **Recording is built in.** Rooms records up to 10 participants with separate cloud backups per session and 7-day guest file recovery. You do not need a separate Riverside-style recorder. The honest summary: Descript is a better *video tool* than any dedicated clipper. It is a worse *clip pipeline*. Those are different purchases, which is the same conclusion I reached comparing a recorder against a clipper in [Riverside vs ScaleReach](/blog/riverside-vs-scalereach/). ## Verdict by team type ### For a solo creator who edits properly → **Buy Creator** Creator annual at $24 gives 1,800 media minutes, 4K export, timeline export to Premiere and Final Cut, and unlimited stock search. For one person who wants clips *and* a real editor, this is the best value in the category and I would not argue with anyone who picks it. ### For a 2–3 person short-form team → **Try Creator, watch the credit meter** 3 × $24 = $72/month pooling 5,400 media minutes is strong on paper. The risk is the 2,400 pooled AI credits. Three people all prompting Underlord will burn credits at a rate you cannot forecast, and top-ups are one-time purchases rather than a raised ceiling. Run one month and read the Usage tab before committing annually. ### For a high-volume agency → **Skip for the pipeline, keep for finishing** The 20-clip cap per run, non-deterministic credit spend, per-drive billing across client workspaces, and absent scheduler all point the wrong way for volume. Business at $50 per person annual with 2,400 media minutes each is not the constraint; the AI meter and the manual triage are. Use a single-meter clipper for the pipeline and Descript for clips that need real editing. ### For podcasters who record remote guests → **Buy, and drop your recorder** Rooms plus text-based editing plus clipping in one subscription is a genuinely strong bundle, and billing a session by length rather than per participant is the right model. Check the Rooms hours: 5/month on Hobbyist, 15 on Creator, 25 on Business. ### For teams whose bottleneck is posting, not editing → **Skip** If clips already pile up unposted, Descript solves nothing. No scheduler, no calendar, no multi-platform push. You will add a second tool immediately. ## FAQ ### Can you use Descript as a team? Yes. Creator supports 1 to 3 editor seats and Business up to 5, billed per person, and editors on a drive pool their media minutes and AI credits. Viewers cannot use features that consume either meter. Each drive is billed as its own subscription, and unused minutes and credits do not roll over. Descript has no social scheduler, so the team still needs a separate publishing tool. ### Is Descript free? Descript has a permanent free plan with no credit card required. It includes 60 media minutes per month, 100 one-time AI credits, 5GB storage, and 720p exports that carry a watermark. It is enough to evaluate the editing workflow and try the AI tools, but the watermark and the one-hour monthly allowance rule it out for publishing. Paid plans start at $16 per person per month on annual billing, $24 monthly. ### How much does Descript cost for a team of 3? Descript bills per person, so three editors on Creator annual costs 3 × $24 = $72 per month, and on monthly billing 3 × $35 = $105. Seats pool their allowances, so that team shares 5,400 media minutes and 2,400 AI credits. Creator supports up to 3 seats; beyond that you need Business at $50 per person annual. Note that each drive carries its own separate subscription and charge. ### What is the difference between media minutes and AI credits? Media minutes meter how much video and audio you upload or record, including Rooms sessions and screen recordings, with still images counting as one second each. AI credits meter generative and AI features: Underlord, Studio Sound, filler-word removal, Green Screen, Eye Contact, AI speech, avatars, and generated video. Both reset at each renewal and neither rolls over. You can exhaust one while the other still has room. ### Can Descript schedule social media posts? No. Descript publishes to YouTube and drafts social captions, show notes, and summaries, but it cannot schedule posts or publish to TikTok, Instagram, or LinkedIn. A "Publishing Scheduler" feature request has been open on Descript's public board since December 2022 with multiple merged duplicates. Short-form teams export clips from Descript and schedule them in a separate tool. ### How many clips can Descript make at once? Descript's Create Clips tool generates 1 to 20 clips per run, each between 10 seconds and 5 minutes, with optional portrait 9:16 and square 1:1 layouts. Each clip arrives as its own editable composition. Your source needs to be at least as long as the clips requested, and sources under a minute may return nothing. There is no ranked virality score, so you triage the output yourself. ### Is Descript worth it for short-form video? Descript is worth it if your bottleneck is edit quality rather than clip volume, and it is one of only two AI clip tools we found that export editable timelines to Premiere, and the only one that documents Final Cut (FCPXML). It is the wrong choice if you need forecastable per-clip cost, ranked clip scoring, or built-in scheduling. G2 rates it 4.6/5 across 921 reviews, with learning curve and slow performance as the most-tagged complaints. ## The bottom line Descript is an excellent video editor with a clipping feature attached, and most reviews get this backwards by treating it as a clipper with editing attached. As an editor it beats everything in the dedicated-clipper category outright: text-based editing, real layers and animation, timeline export to six professional NLEs, built-in remote recording, captions in 61 languages, and a documented API plus MCP. At $0.013 per source minute on Creator annual it also has the cheapest ingest cost here, cheaper than ScaleReach, and I am not going to spin that. What it is not is a predictable clip pipeline. The two-meter billing means your ingest cost is forecastable and your AI cost explicitly is not, by Descript's own documentation. Clip runs cap at 20 with no ranked score to triage them. There is no scheduler, and the feature request for one has been open since 2022. For a solo creator or a small team that wants one tool to edit and clip, that trade is worth making. For a team whose actual problem is shipping 40 clips a week on a cadence, the meters and the missing scheduler are the wrong shape, and a single-meter clipper plus Descript for the clips that need real finishing is the better combination. --- **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** Descript plan pricing and the media-minute/AI-credit allowances; whether a per-action AI credit cost is ever published; the Create Clips 20-clip cap; the publishing-scheduler feature request shipping; G2 rating and review count; seat limits on Creator and Business. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), which turns long videos into clips and schedules them, starting at $10/month on annual billing. This Descript review is sourced from Descript's own pricing page, help centre, and public feature board rather than a paid hands-on test, and says so where a number could not be verified. No affiliate relationship with Descript.* --- # Riverside vs ScaleReach for Podcast Repurposing URL: https://www.scalereach.ai/blog/riverside-vs-scalereach Published: 2026-09-15 · Author: Hevin K Tags: Comparison, Pricing, Content Repurposing, Review Riverside's Grow plan costs $19/month on monthly billing, and the cheapest plan that unlocks its AI clipping features well runs $12/month on annual. ScaleReach's Starter plan costs $10/month on annual for 200 source minutes. Those two numbers are the whole comparison in miniature, because Riverside and ScaleReach are not really competitors: one records podcasts, the other turns finished recordings into published clips. This post separates what each tool actually charges for, with every price verified on the vendor's own page, and gives a verdict you can act on in 60 seconds. A disclosure before anything else: ScaleReach is our product, and we published this comparison. We did not pay for Riverside, and we have no affiliate relationship with them. Nothing in this post earns us a commission either way. We verified every Riverside figure on riverside.fm/pricing on 2026-09-11, and every ScaleReach figure comes from our own pricing page. Where Riverside is genuinely better, we say so plainly, because a one-sided comparison is worthless to you and gets down-weighted by every ranking system that reads it. ## The 60-second verdict > **Buy Riverside if** you record remote interviews and care about studio-quality output. Separate local tracks per guest is something no clipping tool, including ours, replicates, because it is a recording feature, not a repurposing feature. > > **Try ScaleReach if** you already have finished long-form video and the bottleneck is turning it into clips that actually get posted to TikTok, Instagram Reels, and YouTube Shorts. > > **Skip both as substitutes for each other.** They overlap only at Riverside's Magic Clips vs our full clipping-and-publishing pipeline. > > **Bottom line:** if you RECORD podcasts, Riverside records better than anything we offer, because we do not record at all. If you already HAVE long-form content and need clips plus publishing, a clipping pipeline wins. Many teams use both, Riverside to record and a clipping tool to repurpose, and that is the honest answer. ## What is Riverside and what is ScaleReach? Riverside is a remote recording studio first and a content tool second. Its product page lists a 4K video and audio recorder, a text-based editor, Magic Clips (AI clipping), transcription, Magic Audio (AI audio cleanup), live streaming, webinars, podcast hosting with analytics, and newsletters. The recording engine is what the company is known for: each guest's audio and video is captured as a separate local track, so a bad connection on one side does not degrade the master file. ScaleReach is a repurposing pipeline. You paste a YouTube URL or upload a finished recording, it transcribes the video, an AI model detects the moments likely to perform as short clips, renders them as vertical clips with smart cropping, and then schedules and publishes them to TikTok, Instagram Reels, and YouTube Shorts through the official platform APIs. Dubbing into other languages is part of the same pipeline. There is no recording, no studio, no hosting. The overlap is narrow: Riverside's Magic Clips feature competes with our clip detection. Everything else on both lists is orthogonal. That narrow overlap is what the rest of this post examines. ## How much does Riverside cost in 2026? Riverside's pricing page showed two main plans when we checked it on 2026-09-11, with higher tiers above them and no free tier on the page. | Plan | Monthly billing | Annual billing | What it meters | |---|---|---|---| | Pro | $14/mo | $12/mo | Recorded audio hours | | Grow | $19/mo | $16/mo | Recorded audio hours | Source: riverside.fm/pricing (verified 2026-09-11). One honest note: when we verified these figures, Riverside's own pricing-page FAQ listed different numbers ($29 dropping to $24 for Pro) than the pricing cards showed. That is a live discrepancy on their page, likely an A/B test or a stale FAQ. We quote the card figures because they are what the checkout flow is built on, but if you are reading this later, re-check their page before budgeting. ## How much does ScaleReach cost? ScaleReach meters source minutes: the length of finished long-form video you run through the clipping pipeline. A 45-minute episode costs 45 source minutes regardless of how many clips come out of it. | Plan | Monthly billing | Annual billing | Source minutes | |---|---|---|---| | Free | $0 | $0 | 100 free minutes, watermarked | | Starter | $12/mo | $10/mo | 200/month | | Pro | $18/mo | $12.50/mo | 400/month | | Agency | $99/mo | $49/mo | 5,000/month | Source: scalereach.ai/pricing. ## Recorded audio hours or source minutes: why the units are the real difference Comparing Riverside's price table to ScaleReach's is misleading until you notice the units. Riverside meters recorded audio hours because it is a recording product: the thing you consume is studio time capturing each episode. ScaleReach meters source minutes because it is a clipping pipeline: the thing you consume is finished video running through transcription, clip detection, rendering, and scheduling. The practical consequence: a podcaster who records two 60-minute episodes a month consumes about 2 recorded hours on Riverside but 120 source minutes on ScaleReach, and the two plans are not interchangeable across those workflows. If you tried to replace Riverside with ScaleReach, you would have nothing to upload, because we do not record. If you tried to replace ScaleReach with Riverside, you would get recordings and Magic Clips but no pipeline that detects clips, renders them with smart crop and captions, then schedules and publishes them to three platforms through official APIs. The one place the units meet is a comparison of Magic Clips against a full clipping pipeline. Magic Clips is an AI clipping feature inside a recording product. Our pipeline is clipping, reframing, captioning, dubbing, and scheduled publishing as the entire product. If you are deciding between the two on repurposing alone, compare Magic Clips output against our output on your own content, not the recording features you may not need. ## What Riverside does better than ScaleReach Three things, stated plainly. First, remote recording quality. Riverside records each guest on a separate local track at up to 4K video, so the master file is studio-grade even when someone's connection drops during the session. ScaleReach does not record anything. We take finished video as input. If your problem is capture quality, we are simply not in that business, and Riverside is. Second, Magic Audio. Their AI audio cleanup handles noise and level problems at the source, before the content ever becomes clips. A clipping pipeline works with whatever audio you give it, so fixing audio at record time is genuinely better than hoping a downstream tool can compensate. Third, the bundle. Podcast hosting with analytics and newsletters means Riverside can be the home of the finished episode as well as the tool that captured it. Teams that want one subscription covering record, edit lightly, host, and distribute the full episode get that from Riverside and not from us. ## What ScaleReach does better than Riverside Also three things, equally plainly. First, the repurposing pipeline itself. Upload or paste a YouTube URL, and transcription, AI viral-moment detection, clip rendering, and smart crop happen in sequence, then clips go to scheduled publishing on TikTok, Instagram Reels, and YouTube Shorts through the official APIs. Riverside's Magic Clips generates clips; it does not run a publish queue across three platforms as the core of the product. Second, dubbing. ScaleReach can produce a dubbed audio track for the same clip, which extends a podcast clip into new-language audiences. That is not something Riverside lists on its product page. Third, cost per source minute for pure repurposing work. If the recording is already done, whether in Riverside, Zoom, or a studio, ScaleReach Starter at $10/month annual covers 200 source minutes, which works out to about $0.05 per source minute. You are not paying for studio features you are not using. We broke this math down in detail in [cost to clip 10 hours of podcast per month](/blog/cost-to-clip-10-hours-of-podcast-per-month/). ## Can you use Riverside and a clipping tool together? Yes, and that is the most common honest answer to this comparison. Record in Riverside for the separate local tracks and Magic Audio, export the finished episode, then run that file through a clipping pipeline for clip detection and publishing. The two products sit at opposite ends of the same workflow, which is why the pricing units differ and why neither genuinely replaces the other. If you are assembling that workflow, the pieces after the export matter as much as the recording: which moments to clip, [how long each clip should run on TikTok vs Reels vs Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/), and how the clips get posted without dying in a folder labeled "later." Our full [podcast to TikTok workflow](/blog/podcast-to-tiktok-workflow/) covers the extraction side of that pipeline. ## FAQ ### Is Riverside better than ScaleReach? Neither is better across the board because they solve different problems. Riverside is better at recording remote podcasts with separate local tracks per guest and AI audio cleanup. ScaleReach is better at turning finished long-form video into scheduled clips on TikTok, Instagram Reels, and YouTube Shorts. If you only record, pick Riverside. If you only repurpose existing recordings, pick a clipping pipeline. ### How much does Riverside cost per month? Riverside's pricing page showed Pro at $14/month on monthly billing or $12/month on annual, and Grow at $19/month on monthly or $16/month on annual, when verified on 2026-09-11 (Source: riverside.fm/pricing, verified 2026-09-11). Higher tiers exist and the page showed no free tier. Note their own FAQ listed older figures ($29 to $24 for Pro), a discrepancy on their page at verification time. ### Does Riverside have AI clipping like Opus Clip? Yes, through a feature called Magic Clips, which cuts long recordings into short clips using AI. It is one feature inside a recording product rather than a dedicated clipping pipeline, so it does not include the downstream steps a clipping tool centers on: smart crop rendering, dubbing, and scheduled publishing to TikTok, Instagram Reels, and YouTube Shorts via official APIs. ### Can ScaleReach record my podcast? No. ScaleReach does not record. You bring finished long-form video, either by uploading a file or pasting a YouTube URL, and the pipeline handles transcription, AI clip detection, rendering, and publishing. Teams that need remote recording use a studio tool such as Riverside for capture first, then a clipping pipeline for repurposing. ### Is Riverside or ScaleReach cheaper for podcast clips? For pure repurposing, ScaleReach is cheaper: Starter is $10/month on annual for 200 source minutes, about $0.05 per source minute (Source: scalereach.ai/pricing), and there is a free tier with 100 minutes. Riverside's entry plan is $12/month on annual (Source: riverside.fm/pricing, verified 2026-09-11), but that price buys a recording studio, not just clipping, so the comparison is only meaningful if you need the recording features. ### Do podcasters use Riverside and a clipping tool together? Yes, that is the common setup. Riverside handles capture with separate local tracks per guest and Magic Audio cleanup, then the exported episode goes to a clipping pipeline for clip detection, reframing, captions, and scheduled publishing. The tools sit at opposite ends of one workflow, which is why their pricing meters different things (recorded audio hours vs source minutes). ## The bottom line If you record podcasts, especially remote interviews, Riverside records better than anything we offer, because we do not record at all. Separate local tracks, Magic Audio cleanup, and hosting with analytics are genuine advantages, and pretending otherwise would make this comparison useless. If you already have long-form content and the bottleneck is clips plus publishing, a clipping pipeline wins on focus and on cost per source minute. Many teams use both: Riverside to record, a clipping tool to repurpose. Pick by where your bottleneck actually is, not by which landing page made you feel more ambitious. --- **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** Riverside pricing (their page showed a card-vs-FAQ discrepancy on 2026-09-11); Riverside Magic Clips feature changes; ScaleReach plan changes in public/pricing.md. --- # How much does it cost to clip 10 hours of podcast a month? URL: https://www.scalereach.ai/blog/cost-to-clip-10-hours-of-podcast-per-month Published: 2026-09-14 · Author: Hevin K Tags: Pricing, Comparison, Content Repurposing Ten hours of podcast a month is two hour-long episodes a week, and it is 600 source minutes that some tool has to watch, transcribe, and cut for you every month. We read seven vendors' pricing pages on 11 September 2026 and worked out what that exact workload costs on each. The spread runs from $16 to $99 a month, and most of the difference is the unit each tool charges in, not the quality of the clips. Disclosure: ScaleReach publishes this post and is one of the tools compared. Every price below, ours included, was read off the vendor's own pricing page on 11 September 2026. No affiliate links. Where a figure was not verified, the gap is stated instead of estimated. ## The 60-second verdict > **Buy if** you clip more than 10 hours a month or run several shows. You need a plan with a large minute bank, which means an agency tier. ScaleReach Agency is $49 a month on annual billing for 5,000 source minutes. > > **Try if** you sit at or under 10 hours and already edit your episodes. Descript Hobbyist is $16 a month on annual billing and includes exactly 10 media hours, which is this workload to the minute. > > **Skip if** the entry plan covers a fraction of your volume. Opus Clip Starter's 150 credits cover 2.5 hours, so at 10 hours you are stacking months or paying for a tier this page cannot verify. > > **Bottom line:** normalize before you compare. Divide each plan price by the source minutes it includes, then compare the results. On that math, 10 hours a month is $16 on Descript Hobbyist annual, $39 on Klap Pro annual if you think in clips, or $49 on ScaleReach Agency annual with scheduling included. ## Why can't you compare clip tool prices directly? Because the tools do not sell the same thing. Opus Clip sells credits, one per source minute. Klap sells output clips, so a three-hour episode costs the same as a ten-minute one. Vizard sells credits where one credit is one minute of uploaded video. Descript sells media hours. Riverside meters recorded audio hours, VEED meters AI credits, ScaleReach meters source minutes. Roundups line the headline numbers up anyway, $15 beside $14 beside $29, as if they shared a denominator. This is the one opinion this post argues: comparing headline prices across different units is the broken move most pricing comparisons in this category make, and normalizing to cost per source minute is the fix. We made the same argument in our [best Opus Clip alternatives](/blog/best-opus-clip-alternatives/) roundup. Ten hours is 600 minutes, and that is the denominator used throughout this page. ## What does 10 hours of podcast cost on each tool? | Tool | Verified monthly price | Verified annual price | What the plan meters | Covers 600 minutes? | |---|---|---|---|---| | Opus Clip | $15/mo Starter (monthly-only billing) | not offered on Starter | credits, 1 per source minute | No. 150 credits is 2.5 hours | | Klap | not published, annual only | $14 Basic / $39 Pro / $94 Pro+ per mo | output clips | Pro's 300 clips cover the expected volume | | Vizard | $29/mo Creator | $14.50/mo Creator ($174/yr) | credits, 1 per minute | Not verifiable in this check | | VEED | page rendered yearly INR only | ₹520 per user/mo (₹6,238/yr) | AI credits (6,000 on Creator) | Not stated in minutes | | Descript | $24/mo Hobbyist | $16/mo Hobbyist | media hours (10/mo) | Yes, exactly 600 minutes | | Riverside | $14/mo Pro, $19/mo Grow | $12/mo Pro, $16/mo Grow | recorded audio hours | Included hours not verified | | Submagic | $29/mo Pro | $19.43/mo Pro | videos, with length caps | No | | ScaleReach | $99/mo Agency | $49/mo Agency | source minutes (5,000/mo) | Yes, with heavy headroom | Source: opus.pro/pricing, klap.app/pricing, vizard.ai/pricing, descript.com/pricing, riverside.fm/pricing, the VEED and Submagic pricing pages, and scalereach.ai/pricing (all verified 2026-09-11). **Opus Clip.** Starter is $15 a month, monthly-only billing, for 150 credits. One credit is one source minute, so the workload needs 600 credits, four Starter months' worth. At $0.10 per minute it is the most expensive normalized rate on this page. **Klap.** The page rendered annual-billing prices only, so monthly is omitted deliberately rather than inferred. Basic is $14 a month for 100 clips, Pro is $39 for 300, Pro+ is $94 for 1,000. Ten hours fits by clip count: on our pipeline data a source over 60 minutes returns a mean of 18 clips (a figure the multi-hour shows in that bucket lift, so a tight hour returns fewer), so ten one-hour episodes return on the order of 120 to 180 clips. Basic is short; Pro covers it with room. **Vizard.** The free tier is $0 for 60 credits, one hour of the workload. Creator is $29 a month or $14.50 billed yearly ($174 a year), and one credit is one minute, so the unit is normalizable. But Creator's included credit count is not part of what we verified on 11 September, so no per-minute figure is published. That gap is deliberate. **VEED.** The page rendered yearly prices in Indian rupees from an Indian IP, with no monthly toggle. We publish exactly what it returned: Creator is ₹520 per user per month billed yearly (₹6,238 a year) with 6,000 AI credits, which the page maps to about 1,500 AI videos. No USD conversion is offered here. AI credits are not source minutes, so VEED does not normalize. **Descript.** Hobbyist is $16 a month on annual billing or $24 monthly, and it includes 10 media hours a month plus 400 AI credits. Ten hours of podcast is exactly 10 media hours, which makes this the one entry tier on the page that covers the workload with no headroom at all. The catch is separate metering: generative features draw down the 400 AI credits, not the media hours. Our [full breakdown of Descript's two meters](/blog/descript-review-for-short-form-teams/) covers why that second allowance is the one that makes this figure a floor rather than a price. **Riverside.** Pro is $14 a month or $12 yearly, Grow is $19 or $16. Riverside meters recorded audio hours, which matters if you record your podcast in Riverside and want Magic Clips from the same session. The included-hours figure is not in the verified set, so no per-hour cost is computed. **Submagic.** Pro is $29 a month or $19.43 on annual billing. Submagic sells videos with length caps, and in our July 2026 testing long-video clipping was a paid add-on on top of the plan. Ten hours of podcast is not the workload it is sold for. **ScaleReach.** Ours, held to the same rule. Starter is $12 a month ($10 annual) for 200 minutes and Pro is $18 ($12.50 annual) for 400. Neither covers 600, and this post is not going to pretend otherwise. Agency is $99 a month or $49 annual for 5,000 minutes, which covers this workload more than eight times over. At exactly 10 hours, Agency is more minutes than you need, unless that 10 hours is one of several client shows. In that case the headroom is the point: [an agency clipping multiple clients](/blog/ai-clipping-for-agencies-multiple-clients/) can pool them all in one workspace. ## How much is that per source minute? Only tools whose unit converts to source minutes get a row. The rest are left out on purpose, because an invented conversion is worse than a gap. | Tool | Plan | Price | Included minutes | Cost per source minute | |---|---|---|---|---| | ScaleReach | Agency, annual | $49/mo | 5,000 | $0.0098 | | ScaleReach | Agency, monthly | $99/mo | 5,000 | $0.0198 | | Descript | Hobbyist, annual | $16/mo | 600 | $0.027 | | Descript | Hobbyist, monthly | $24/mo | 600 | $0.040 | | ScaleReach | Pro, annual | $12.50/mo | 400 | $0.031 | | ScaleReach | Starter, annual | $10/mo | 200 | $0.050 | | Opus Clip | Starter | $15/mo | 150 | $0.100 | Source: descript.com/pricing, opus.pro/pricing, and scalereach.ai/pricing (all verified 2026-09-11). Two plans on this page cover the full 600 minutes, and they land at $0.0098 and $0.027 per source minute. Opus Clip Starter is the most expensive normalized rate here at $0.100, with the smallest allowance. The ScaleReach Starter and Pro rows fit lower volumes, 200 and 400 minutes a month, not this workload. ## Which plans actually cover all 10 hours? Descript Hobbyist covers it exactly, 600 media hours' worth of minutes with zero headroom. ScaleReach Agency covers it more than eight times over. Klap Pro covers the expected clip volume, about 180 clips against a 300-clip allowance, but clip counts vary by show: a dense interview returns more moments than a slow monologue, and if you clear 300 clips you are into Pro+ at $94. Everything else does not cover the workload in one verified tier: Opus Clip Starter is short by 450 credits, Submagic's caps rule it out, and Vizard's Creator allowance could not be verified this round. Free plans do not come close. Vizard's 60 credits are a tenth of the workload, and ScaleReach's 100 free minutes are a sixth. We keep a full breakdown of [what each free AI clip generator](/blog/best-free-ai-clip-generator-2026/) actually gives you, and no free tier we have verified reaches even a quarter of 600 minutes. ## How many clips will 10 hours actually give you? Our pipeline data, measured across 1,224 source videos and 7,101 generated clips on 27 July 2026, says a source over 60 minutes returns a mean of 18 clips, though that 60-minute-plus average is lifted by multi-hour podcasts, so a tight one-hour episode returns fewer. We break down [what a single one-hour episode actually yields](/blog/how-many-clips-from-a-one-hour-podcast/) separately. Ten one-hour episodes therefore return on the order of 120 to 180 clips a month, and the median clip length is 42 seconds, roughly one to two hours of finished short-form output from ten hours of source. That still makes Klap's pricing concrete: even 120-plus clips against Basic's 100 means you are on Pro at $39. For how long those clips should run on each platform, see our comparison of [podcast clip length on TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/). ## What did we leave out on purpose? Four gaps, all deliberate. Klap's monthly-billing prices did not render, so only annual figures appear. Vizard's Creator credit allowance is not in the verified set, so its per-minute cost is not computed. VEED rendered yearly rupee prices from an Indian IP, and no USD conversion is published here. Riverside's included recording hours are likewise unverified in this round. Anything we could not verify this round is absent rather than carried over from older posts. ## FAQ ### How much does it cost to clip a podcast per month? For a 10-hour monthly workload, verified prices run from $16 a month (Descript Hobbyist on annual billing, exactly 10 media hours) to $99 a month (ScaleReach Agency monthly, 5,000 source minutes). Normalized, the two plans that cover the full workload cost $0.027 and $0.0098 per source minute. All prices were read from vendor pricing pages on 11 September 2026. ### What is the cheapest way to clip 10 hours of podcast? Descript Hobbyist on annual billing, at $16 a month for exactly 10 media hours. It is the cheapest verified plan that covers the whole workload in one tier. Klap Basic is $14 a month annual, but its 100-clip allowance sits under the roughly 180 clips ten hours typically returns, so the honest answer is Descript at $16 or Klap Pro at $39. ### Is it cheaper to pay per minute or per clip? Per minute for many short episodes, per clip for a few long ones. Ten one-hour episodes cost 600 minutes on every per-minute tool, and $16 on Descript Hobbyist annual. The same 600 minutes delivered as two five-hour recordings cost Klap exactly the same as ten one-hour recordings, because Klap charges for output clips, not input length. Per-clip pricing wins as your sources get longer. ### Can a free AI clip generator cover 10 hours of podcast? No. The largest recurring free allowances we have verified are ScaleReach's 100 minutes and Vizard's 60 credits, a sixth and a tenth of the 600-minute workload. Free tiers are for testing clip quality on one or two episodes, not for running monthly volume. The full free-tier comparison is in our best free AI clip generator breakdown. ### Why do AI clip generator prices vary so much? Because they are quoted in different units, billing periods, and seat counts. Opus Clip's $15 and Klap's $14 look identical until you notice one sells 150 source minutes and the other 100 finished clips. Annual rates are routinely advertised as if they were monthly, and VEED bills per user, which multiplies the price by team size. Normalizing to cost per source minute fixes the first problem. ### Do I need the top plan to clip 10 hours? No, but you cannot land the workload on an entry tier either. At exactly 10 hours the fit is Descript Hobbyist ($16 annual, exact allowance), Klap Pro ($39 annual, if you think in clips), or an agency tier like ScaleReach Agency ($49 annual, 5,000 minutes) if you want headroom and scheduling. The entry tiers on this page top out at 400 minutes, two thirds of the workload. ## The bottom line Ten hours of podcast a month is 600 source minutes, and the only honest way to price that workload is to divide. Count your monthly source minutes, divide each plan's price by the minutes it actually includes, and compare those numbers instead of the headlines. The tools that look cheapest at a glance are often the ones metering a unit you did not check. On that math, 10 hours a month costs $16 on Descript Hobbyist annual, $39 on Klap Pro annual if you think in output clips, or $49 on ScaleReach Agency annual with 5,000 minutes and scheduling included. Opus Clip Starter, the plan most roundups quote first, does not cover the workload at all. Every figure here was read from the vendor's own pricing page on 11 September 2026 and is dated in the tables. If one is wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- # Podcast clip length: what performs on TikTok, Reels, Shorts URL: https://www.scalereach.ai/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts Published: 2026-09-13 · Author: Hevin K Tags: Short-Form Video, TikTok, YouTube Shorts, Instagram Reels Every major platform now accepts a 3-minute vertical clip, which has split clip length advice into two loud camps: cut everything to 15 seconds, or ride the full three minutes. We answered it with our own pipeline data instead of vibes. Across 1,630 source videos and 6,223 generated clips, the median podcast clip length is 44 seconds, the mean is 49, and the hard cap sits at 180 seconds (Source: ScaleReach pipeline data, measured 2026-09-11). Very few moments earn that cap. Here is what the numbers say, next to each platform's limits. ## What is the ideal podcast clip length? The ideal podcast clip length is 30 to 60 seconds: long enough to land one complete thought, short enough that most viewers finish it. Our pipeline data backs that instinct. Across 6,223 generated clips (from 1,630 source videos averaging 20.5 minutes), the median clip runs 44 seconds, the mean 49, and the hard cap sits at 180 seconds. Source: ScaleReach pipeline data, 1,630 source videos and 6,223 generated clips, measured 2026-09-11. The cap almost never binds. Our pipeline hunts for strong moments first and cuts where the moment ends, and moments in speech run out well before any platform limit does. 5,847 of the 6,223 clips are viral-clips, the default category for a self-contained strong moment. The rest are niche formats: jokes-memes (31), topic-clips (14), memorable-phrases (12), showcase (8). Source: ScaleReach pipeline data, measured 2026-09-11. The rule that falls out of this: set the length by the moment, not by the platform tab. A punchline wants 12 seconds. A story with a payoff wants 75. Padding a clip to "use the space" makes the algorithm's job harder, not easier. ## How long should a TikTok video be? A TikTok video should run 15 to 45 seconds, because TikTok's algorithm weights watch time and completion rate more heavily than any other signal. A clip that gets finished, and finished again, beats a longer clip that gets abandoned. Every time. The official limits are far looser. TikTok accepts uploads up to 60 minutes and in-app recordings up to 10 minutes (verified 2026-09-11). Nobody clipping a podcast should read that as a target: length is not what gets a clip rejected, and a failure to hold attention is what gets it buried. One exception to short-is-better: TikTok's Creator Rewards Program only counts videos at least one minute long ([TikTok Support](https://support.tiktok.com/en/business-and-creator/creator-rewards-program), read 2026-10-15), so a creator chasing rewards cuts longer. We cover the trade-off in [how to turn a long video into TikTok clips](/blog/how-to-make-tiktok-clips-from-long-videos/). One honest disclosure from our own numbers: the ScaleReach pipeline has 2 clips scheduled to TikTok and 0 published as of 2026-09-11 (Source: ScaleReach pipeline data, measured 2026-09-11), so this section is platform mechanics, not our performance data. The completion-rate logic comes from TikTok's documented weighting, and it is why a median clip length of 44 seconds is a safe default on the platform. ## What is the YouTube Shorts length limit? YouTube Shorts accepts videos up to 3 minutes, per YouTube's official documentation (Source: support.google.com/youtube/answer/15424877, verified 2026-09-11). The winning window is much tighter: the median clip across our 6,223 generated clips runs 44 seconds (Source: ScaleReach pipeline data, measured 2026-09-11), and a podcast clip rarely needs more room unless the moment genuinely runs long. YouTube is also where podcast clips actually ship in our data: 125 clips scheduled and 114 published to YouTube, against 42 scheduled and 40 published on Instagram, and 2 scheduled on TikTok. Source: ScaleReach pipeline data, measured 2026-09-11. Podcasters vote Shorts-first with their feet. It makes sense: Shorts viewers arrive from long-form watching, skew a little more patient, and reward a clip that explains or reveals something. A 90-second Short that resolves cleanly is fine there. A padded one is not. If YouTube is your primary platform, [turning long YouTube videos into Shorts](/blog/how-to-turn-youtube-videos-into-shorts/) walks through that workflow end to end. ## What is the best length for Instagram Reels? The best length for an Instagram Reel is 20 to 60 seconds, even though Instagram accepts uploads up to 3 minutes (Source: help.instagram.com/270963803047681, verified 2026-09-11). Reach on Reels runs through saves and shares more than passive watching, the pattern we documented in our platform comparison earlier this year. Both signals favor tight, useful clips: something a viewer saves for later, or sends to a friend because it makes them look smart. Instagram also holds clips to a higher visual bar. A 3-minute talking-head clip with nothing else going on visually dies faster on Reels than anywhere else. Use the long cap only when the content genuinely needs steps. For podcast moments, 20 to 60 seconds with a clean ending collects saves instead of swipes. ## What is the maximum clip length on each platform? All three platforms now cap at or above 3 minutes, which means the platform is almost never the constraint on a podcast clip. Your moment is. | Platform | Max length | What the algorithm rewards most | |---|---|---| | TikTok | 60 minutes uploaded, 10 minutes recorded in-app | Watch time and completion rate carry the most weight | | YouTube Shorts | 3 minutes | Keeping viewers on YouTube: channel visits and long-form watch | | Instagram Reels | 3 minutes (upload) | Saves and shares | Sources: support.google.com/youtube/answer/15424877 and help.instagram.com/270963803047681 (both verified 2026-09-11); TikTok's documented upload and recording limits (verified 2026-09-11). TikTok's weighting is documented by the platform itself. The Shorts and Reels columns are the behavior patterns we laid out in [our comparison of TikTok, YouTube Shorts, and Instagram Reels](/blog/tiktok-vs-youtube-shorts-vs-instagram-reels/), which is worth reading alongside this post if you are choosing a primary platform rather than just a clip length. ## How long should a podcast video be if you want clips out of it? Longer sources produce more clips, with a steep step up after the 5-minute mark: in our pipeline, source videos under 5 minutes averaged 1.3 clips each, while sources between 5 and 15 minutes averaged about 4.3 clips each, and longer sources keep yielding more. Source: ScaleReach pipeline data, 1,630 source videos and 6,223 generated clips, measured 2026-09-11. The counts behind that: 123 of the 1,630 source videos run under 5 minutes, and 618 run between 5 and 15 minutes. The average source is 20.5 minutes, and 1,617 of the 1,630 sources are YouTube videos rather than direct uploads. Across everything, the pipeline produces roughly 3.8 clips per source video. Source: ScaleReach pipeline data, measured 2026-09-11. The practical read: do not burn a clipping run on a 4-minute highlight reel. You will get one usable clip and change. Feed the pipeline the full episode, because longer sources yield more clips per upload and give the moment-finder more to hunt through. If you want [the clip count to expect from one hour](/blog/how-many-clips-from-a-one-hour-podcast/), we measured that separately. ## How do you clip part of a podcast at the right length? You clip at the moment's boundaries: find the strongest self-contained thought, start a second before it lands, and end the instant it resolves. Four rules: 1. Name the moment before you touch the timeline. A punchline, a contrarian take, a story with a payoff. If you cannot describe the moment in one sentence, keep scrubbing. 2. Cut the windup. Most clips lose viewers in the first 3 seconds of setup, so start where the energy already is. 3. End at the payoff, not after it. If the clip trails off, viewers swipe, and the completion rate sinks with them. 4. If the moment runs past 60 seconds, look for the tighter 25-second version hiding inside it. There usually is one. Doing this by hand across a 90-minute episode is the part nobody keeps up with, which is why most repurposing efforts die early. ScaleReach's clip generator does the moment-finding and cuts at natural speech boundaries, so clips come out sized by the moment (median 44 seconds, Source: ScaleReach pipeline data, measured 2026-09-11) instead of padded to a limit. If TikTok is the target, our [podcast to TikTok workflow guide](/blog/podcast-to-tiktok-workflow/) covers the full path from episode to post. ## FAQ ### Is a 30-second podcast clip too short? No. 30 seconds sits inside the 30 to 60 second window where our pipeline's median clip length (44 seconds, Source: ScaleReach pipeline data, measured 2026-09-11) lands, and it is completion-friendly everywhere. TikTok weights completion rate most heavily of all, so a tight 30-second clip people finish beats a longer one they abandon. Short is only a problem when the thought inside the clip is incomplete. Give the moment a beginning and a payoff, then stop. ### How many clips should one podcast episode produce? It scales with source length. Sources under 5 minutes averaged 1.3 clips each in our pipeline, sources between 5 and 15 minutes averaged about 4.3 clips, and longer sources kept yielding more (Source: ScaleReach pipeline data, 1,630 source videos and 6,223 generated clips, measured 2026-09-11). Generate more candidates than you need, then cut the list to the ones with real endings. ### Can I post a 3-minute podcast clip as a YouTube Short? Yes. YouTube Shorts accepts videos up to 3 minutes, per YouTube's official documentation (verified 2026-09-11), and Instagram Reels accepts 3-minute uploads too (Source: help.instagram.com/270963803047681, verified 2026-09-11). Both caps are ceilings, not targets: the median clip across our 6,223 generated clips is 44 seconds (Source: ScaleReach pipeline data, measured 2026-09-11), and clips stretched to fill three minutes usually lose the completion behavior that gets Shorts pushed. ### Why do short clips get more views on TikTok? Because TikTok's algorithm weights watch time and completion rate more heavily than any other signal, and short clips are easier to finish and rewatch. A 25-second clip with a high completion rate outperforms a 90-second clip that half the audience abandons. That dynamic, not the official limits (uploads up to 60 minutes, in-app recording up to 10 minutes, verified 2026-09-11), should set your clip length on the platform. ### Does Instagram Reels length affect reach? Instagram accepts Reels uploads up to 3 minutes (verified 2026-09-11), so length alone will not disqualify a clip. Reach on Reels runs through saves and shares, and both favor tight, useful clips a viewer keeps or sends to a friend. A padded long clip earns neither. That is why the 3-minute cap should stay a ceiling rather than become a target. ### Should I make different clip lengths for each platform? Make one clip sized by its moment, then package it differently per platform. The moment determines length; the platform determines captions, hook text, and visual polish. One clean master clip in the 30 to 60 second window (median 44 seconds across 6,223 pipeline clips, Source: ScaleReach pipeline data, measured 2026-09-11) works on all three platforms, since each accepts well past that length. ## The bottom line The numbers point one direction. Across 1,630 source videos and 6,223 generated clips, the median podcast clip length is 44 seconds (Source: ScaleReach pipeline data, measured 2026-09-11), while every major platform accepts at least 3 minutes. The gap between what platforms allow and what performs is where most clip length advice goes wrong: the caps are not targets. Keep podcast clips between 30 and 60 seconds, end them at the payoff, and treat every platform's 3-minute cap as a ceiling, not a goal. Feed full episodes into the pipeline rather than short highlight reels, since 5 to 15 minute sources produced about 4.3 clips each against 1.3 for sources under 5 minutes (Source: ScaleReach pipeline data, measured 2026-09-11). The moment decides the length; the platform decides the packaging. --- # AI dubbing for shorts: which tools actually sound natural URL: https://www.scalereach.ai/blog/ai-dubbing-for-shorts-natural-sounding-tools Published: 2026-09-12 · Author: Hevin K Tags: Short-Form Video, Workflow, Content Repurposing, Captions You can dub a 45-second Short into 90+ languages today without opening an editing timeline. YouTube does it free with one toggle. ElevenLabs starts at $6 a month. Rask claims 135+ languages, HeyGen 175+. AI dubbing for shorts stopped being a party trick somewhere in 2026. The only question left is which of these actually sound natural, because the bad ones still sound like a GPS reading your script back to you. Disclosure: I run ScaleReach, a clipping tool with its own dubbing pipeline, so I have a horse in this race. No affiliate links here. Every competitor number below is what the vendor publishes on its own page as of 2026-09-11, and where a page wouldn't hand me a number, the table says so instead of me guessing one. ## The 60-second verdict > **Use YouTube's free auto-dubbing** if your channel lives on YouTube and you want to test new-language reach for literally $0. > > **Pick ElevenLabs Dubbing** if voice naturalness is the whole point and you dub standalone clips. > > **Skip dubbing entirely** if your audience is single-language and your captions already carry the muted viewers. > > **Bottom line:** naturalness is a timing problem more than a voice problem. The tools that lock the dub to your original performance sound human. The ones that read a transcript sound like a translation. ## How does AI dubbing actually work? AI dubbing transcribes your speech, translates it, generates a new voice in the target language, and stretches the new audio to fit your original timing. Every tool in this post does some version of those four steps. The quality differences come from how much of your performance survives step three. There are two camps: - Transcript readers. The tool transcribes, translates, and reads the translation with a stock voice. These sound clean and completely detached from you. - Performance cloners. The tool studies how you said the line: the pacing, the emphasis, the energy. This is how ElevenLabs markets Dubbing v2. Its page says Dubbing v2 "conditions on the source performance, not a transcript" (elevenlabs.io/dubbing, verified 2026-09-11). Here's my one strong opinion: the robotic giveaway is timing, not the voice. A perfect voice reading a dub that runs two seconds longer than your mouth moves sounds wrong instantly. A decent voice locked to your original delivery sounds like a person. That single distinction does more for picking a tool than any voice model spec sheet. ## Does YouTube's free auto-dubbing work? Yes, and it's the first thing to try before paying anyone. YouTube auto-dubbing is an official feature: turn it on in YouTube Studio under Settings > Channel > Advanced settings > "Allow automatic dubbing", and YouTube generates dubbed audio tracks for eligible uploads. You can turn it off anytime. Source: support.google.com/youtube/answer/15569972 (verified 2026-09-11). What you give up is control. You don't audition the voice. You don't fix the pronunciation of your brand name. Some tracks sound great, some sound flat, and the honest move is playing the dubbed track on your phone before deciding the feature is doing your channel favors. Treat it as free reach, not a finished localization strategy. ## Which AI dubbing tools sound natural in 2026? For standalone voice naturalness, ElevenLabs Dubbing v2 is the benchmark, because conditioning on the source performance keeps your delivery inside the dub. After that, workflow fit matters more than spec sheets. | Tool | Languages | What it's for | Entry price | |---|---|---|---| | ElevenLabs Dubbing | 90+ | Performance-conditioned dubbing for standalone clips | Starter $6/mo, 10k credits/mo | | Rask | 135+ | Dubbing marketed as "top-accuracy" in 135+ languages | 35% off yearly Creator and Creator Pro as of 2026-09-11 | | HeyGen | 175+ | Translate videos with realistic AI voices, lip sync, and subtitles | Not verified, left blank | | YouTube auto-dubbing | Varies by eligibility | Free dubbing inside YouTube | $0 | | ScaleReach | Set per dub job | Dubbing inside your clipping workflow | Starter $12/mo monthly, $10 annual, 200 min/mo | Sources: elevenlabs.io/dubbing, elevenlabs.io/pricing, rask.ai, heygen.com (all verified 2026-09-11). HeyGen's pricing wasn't verified, so that cell stays empty. Rask's page showed a "Get 35% off on yearly Creator and Creator Pro" banner on the same date; I don't quote plan prices a page didn't render for me. One shopping warning while you compare: Klap has no dubbing product. The klap.app dubbing URL returns a 404 as of 2026-09-11. If a roundup lists "Klap AI dubbing", that roundup didn't check. Clipping tools and dubbing tools overlap in marketing copy but not always in features. One more option sits inside a clipper rather than next to one. Reap's pricing page (read 2026-10-08) lists dubbing in 80+ languages on its paid plans, 2 hours a month on Creator and 5 on Studio, and its clipping page labels the feature early access. Details are in our [Reap review](/blog/reap-video-review/). ## Is dubbing better than subtitles for watch time? Dubbing and subtitles solve different halves of the same problem. Captions carry the muted majority, and we have a full post on [how to add captions that increase watch time](/blog/how-to-add-captions-that-increase-watch-time/). Dubbing carries the people who keep sound on but don't speak your language. If you pick one, pick captions first. They cost almost nothing, they never sound synthetic, and they help even viewers who just don't want audio blasting in public. Add dubbing once you post consistently and have real evidence a market exists: comments in another language, or a country showing up in your analytics that you never targeted. The rule I'd use: captions are the floor, dubbing is the expansion. Skipping the floor to buy the expansion is backwards. If your floor is Hindi captions, check the script too. Speech-to-text usually writes Hindi in Devanagari, and [Hinglish captions in Roman letters](/blog/hinglish-captions-for-shorts-and-reels/) need a transliteration step, not a translation. ## How we dub clips at ScaleReach Fair warning, this is where the comparison post becomes a vendor post. Keeping it boring and factual. ScaleReach dubs inside the same pipeline that clips your videos. The translation worker produces translated text with word-level timings. The dubbing worker groups those words into sentence segments, generates speech for each segment, time-stretches every segment to match the original timing, and mixes the dubbed track over the source audio. The clip you already cut gets a dub. You don't export, re-upload, and re-cut anything. (That's a description of our own codebase, not a marketing claim: the translation and dubbing workers live in our backend at src/jobs/.) Pricing works like the rest of the product, by source minutes: Free is $0 with 100 free minutes, Starter is $12/mo monthly or $10 on annual for 200 minutes a month, Pro is $18 monthly or $12.50 annual for 400 minutes, Agency is $99 monthly or $49 annual for 5,000 minutes. The flow starts where [turning YouTube videos into Shorts](/blog/how-to-turn-youtube-videos-into-shorts/) starts: candidate moments from your long video. If ScaleReach is already clipping your content, dubbing inside the same workspace saves you stitching four subscriptions together. If you only need dubbing, ElevenLabs at $6 a month is cheaper and excellent. Both things are true. ## FAQ ### Is AI dubbing good? For most short-form use, yes. Modern dubbing tools like ElevenLabs Dubbing v2 and HeyGen produce speech that holds up on a phone speaker, and YouTube's built-in auto-dubbing is good enough to test international reach for free. It is not good enough to skip review. Play the dubbed track before publishing, because delivery still drifts on fast dialogue, brand names, and numbers. Use dubbing to test a market, and keep it only where it sounds like you. ### How does YouTube auto dubbing work? YouTube transcribes your video, translates the speech, and adds generated dubbed audio tracks that viewers can pick in the player. You enable it in YouTube Studio under Settings > Channel > Advanced settings > "Allow automatic dubbing", and you can turn it off anytime. It costs nothing and runs on eligible uploads with no extra work from you (Source: support.google.com/youtube/answer/15569972, verified 2026-09-11). ### What is the best AI dubbing tool? For naturalness, ElevenLabs Dubbing v2 is the benchmark because it conditions on your source performance instead of reading a transcript, covering 90+ languages from $6 a month on the Starter plan with 10k monthly credits. HeyGen pitches the same job at 175+ languages with lip sync and subtitles. For dubbing inside a clipping workflow, pick the tool that already makes your clips so you're not stitching subscriptions together. ### Does AI dubbing sound robotic? Sometimes, and timing is usually why. When a dub runs longer than your mouth moves, viewers feel the mismatch before they can name it, and the whole clip reads as synthetic. Tools that time-stretch each segment to the original delivery, like ElevenLabs Dubbing v2's performance conditioning, minimize that gap. Flat delivery on hype lines and emotional lines is the other giveaway. Always preview the dubbed track on a phone before publishing. ### Is dubbing better than subtitles? No, and the order matters. Captions come first because they carry muted viewers in every language you already speak, cost almost nothing, and never sound synthetic. Dubbing comes second, when you're reaching people who won't read a language they don't know, or who keep sound on. The two stack: caption your clips for retention, then dub the clips that already work to expand into new markets. ### How do I dub a video with AI for free? Start with YouTube's auto-dubbing toggle, which is free and built in for eligible uploads (YouTube Studio > Settings > Channel > Advanced settings > "Allow automatic dubbing"). Outside YouTube there's no true free dubbing workhorse: vendors like ElevenLabs and Rask gate dubbing behind paid plans, with ElevenLabs Starter at $6 a month and 10k credits. Use the free YouTube feature to learn whether a market actually watches before you pay anyone. ## The bottom line Pick your dubbing tool by timing, not by voice demo. Try YouTube's free auto-dubbing first and see whether a new-language audience shows up. If the reach is real, move the winners to a performance-conditioned tool like ElevenLabs Dubbing, or dub inside the pipeline that already makes your clips. The dubs that sound natural are the ones timed to your original performance, so pick a tool that conditions on your performance, not your transcript. Then keep the distribution boring: one clean master, dubbed once, posted natively everywhere so platform watermark rules don't eat your reach (we cover that in [how to repost without getting flagged](/blog/repost-youtube-video-tiktok-without-getting-flagged/)). Captions first, dubbing second, and always listen to the dubbed track on a phone before you trust it. --- # How to Repost YouTube Videos on TikTok Without Getting Flagged URL: https://www.scalereach.ai/blog/repost-youtube-video-tiktok-without-getting-flagged Published: 2026-09-11 · Author: Hevin K Tags: Content Repurposing, TikTok, YouTube Shorts, Workflow Here's the uncomfortable part about cross-posting: you don't get a warning or a strike when you do it wrong. Your repost just quietly performs worse. All three platforms publish the rule themselves. TikTok bans watermarked reposts outright, Instagram won't recommend Reels carrying another app's logo, and YouTube excludes re-uploaded content from Shorts revenue sharing (all verified 2026-09-11). And still, the most common cross-posting workflow is: post to TikTok, download the TikTok version, upload that file to Reels and Shorts. Watermark and all. That's the exact pattern every platform's duplicate-content filter is built to catch. This post is the fix. It's boring and mechanical, which is why most creators never bother. ## Why do reposted videos get flagged as duplicate content? Each platform runs duplicate-content detection on uploads. It's not looking for your stolen video. It's looking for content that already exists somewhere else, especially content carrying another platform's watermark. TikTok's own content-sharing guidelines spell it out for developers: apps must not "copy arbitrary contents from other platforms to TikTok," and content carrying a brand name, logo, or promotional watermark violates the guidelines and "may lead to deleted content or disabled accounts" (Source: developers.tiktok.com, verified 2026-09-11). Instagram has said the same thing for years: Reels with visible TikTok watermarks don't get recommended. YouTube's Shorts monetization policy lists "reuploading other creators' content" and non-original clips as ineligible for revenue sharing, and Shorts over one minute containing claimed content get blocked entirely (Source: support.google.com, verified 2026-09-11). Revenue sharing is only one of [the five ways Shorts actually pay](/blog/how-to-earn-money-from-youtube-shorts/), but losing it to a lazy repost is avoidable. So the flag isn't a myth and it isn't a conspiracy theory. All three platforms publish the rule. ## What actually triggers the duplicate-content filter? Four things, in order of how often they burn people: | Trigger | What happens | |---|---| | Another platform's watermark visible | Downranked on sight. Instagram confirmed, YouTube confirmed, TikTok written into developer policy. | | Identical file, same bytes | Fingerprinted as existing content. Reach suppressed, sometimes just on the second platform. | | Wrong aspect ratio (horizontal video in a vertical feed) | Reads as a lazy repost even without a watermark. | | Platform-compressed audio/video | Second-generation compression makes the clip look cheap and can trip audio-matching. | The watermark is the big one. A visible TikTok logo on a Reel is the single fastest way to tell the algorithm your content was made somewhere else. ## Should you post the same video on multiple platforms? Yes. The problem isn't cross-posting, it's lazy cross-posting. Every platform has publicly said some version of: original content good, watermarked re-uploads bad. None of them have said: posting your own video in two places violates anything. It's your content. You're allowed to post it wherever you want. What the algorithms penalize is the download-reupload pattern: posting on TikTok, downloading the TikTok version (with its watermark and platform compression), then uploading that file to Reels and Shorts. You're handing each platform a second-generation copy of a video carrying a competitor's logo. The same logic applies to the gameplay split-screen format. Stacking Subway Surfers under someone else's clip doesn't make the clip yours. Where that line sits on YouTube is in our [split-screen video guide](/blog/how-to-make-a-subway-surfers-split-screen-video/). The fix is simple: never upload a file a platform has already touched. ## How to repost a YouTube video on TikTok the clean way The whole workflow, start to finish: 1. Start from the source file, never from a platform download. If your video is on YouTube, pull the original upload, not the YouTube player version. The original file has no watermark and no platform compression. 2. Cut the clip from the clean source. Horizontal 16:9 source needs a vertical 9:16 crop with the speaker or action centered. [How to turn YouTube videos into Shorts](/blog/how-to-turn-youtube-videos-into-shorts/) covers the clipping side; the key point here is that the crop must come from the original, not a re-download. 3. Export one clean master per clip. 1080x1920, no watermark, decent bitrate. This master is the single source of truth. 4. Upload the master natively to each platform. TikTok app, Instagram app, YouTube app, or a scheduler that posts the original file through each platform's official API. Same clean file everywhere. 5. Customize the caption per platform. Same video, different packaging. A caption written for TikTok's chaos reads weird on Reels, where the audience skews toward saves and shares. 6. Stagger posting by a few hours if you care about which platform "gets" the viral version first. This doesn't affect duplicate detection, it just lets you read each platform's signal cleanly. That's it. No editing three separate videos. One clean master, posted natively three times. The per-platform caption, aspect, and timing differences are real though, and [where each clip format actually performs](/blog/tiktok-vs-youtube-shorts-vs-instagram-reels/) matters more than the repost mechanics. But those are optimization decisions. The clean-master rule is the non-negotiable part. ## Do you need to edit each platform's version separately? No, and this is where most creators overcorrect. You need one clean master, not three bespoke edits. The differences that matter are small: - TikTok: shorter cut, punchier first second, trending sound layered low - Shorts: slightly longer cut, a "watch the full video" nudge at the end - Reels: cleaner caption styling, first frame that looks good on mute These are trims and overlays, not re-edits. If you're clipping with a tool, generate the vertical clip once, then adjust hook placement and captions per platform. If you're doing it manually, keep the master and save three platform variants. The one thing you should never do: post to TikTok first and let TikTok's watermark decide your brand for you. ## What about the music? Music is the one place where "same file everywhere" genuinely breaks. Trending sounds live inside each platform's library and are licensed for that platform only. A track you added in the TikTok editor won't carry licensing over to Reels. Either use royalty-free audio in the master itself, or add the trending sound natively in each app after upload. This is also the honest reason a scheduler can't do 100% of the work. The file can be automated. The sound sometimes can't. ## FAQ ### Can I repost my own video on TikTok? Yes. Posting your own content on multiple platforms doesn't violate any policy. What gets you flagged is uploading a version that carries another platform's watermark or has been compressed by another platform. Always upload from your clean source file. ### Will Instagram remove my Reel if it has a TikTok watermark? Instagram has said watermarked Reels don't get recommended. Removal is rare for your own content, but the reach penalty is real and immediate. The fix is the clean-master workflow above. ### How do I repost a video without a watermark? Export a clean master before posting anywhere, and upload that same file to every platform. Never download from one platform to upload to another. If your only copy is watermarked, re-cut from the original source video. ### Is cross-posting the same video everywhere considered duplicate content? Technically yes, but it's your duplicate and platforms tolerate it when the upload is native and clean. The penalties target watermarked re-uploads and stolen content, not your own video posted with correct formatting to each platform. ### Does posting the same clip on multiple platforms hurt reach? It doesn't have to. The reach drop most creators blame on duplicate content is usually the watermark, the compression, or the horizontal aspect ratio. Fix those three and the same clip can perform everywhere. ### Can a scheduler post my video to all platforms at once? Yes, if it uploads your original file through each platform's official API. ScaleReach's [social publishing](/tools/ai-video-clip-generator/) workflow does exactly this: one source video, clean vertical clips, scheduled natively to TikTok, Reels, and Shorts without a single re-download. ## The bottom line Reposting your own video everywhere is fine. Reposting a watermarked, re-compressed download is what gets you flagged. Keep one clean master, upload it natively everywhere, change the caption per platform, and the duplicate-content problem mostly disappears. The workflow isn't harder than the download-reupload habit. It's just less familiar. --- # 7 Best Submagic Alternatives in 2026, Ranked by Workflow URL: https://www.scalereach.ai/blog/best-submagic-alternatives Published: 2026-08-06 · Author: Hevin K Tags: Submagic, Alternatives, AI Clip Maker, Comparison Submagic is a strong choice when polished captions, B-roll, and fast short-form editing are the main job. Its current paid plans are built around video limits, while **Magic Clips** for long-form repurposing is a separate add-on. That makes the best alternative depend less on a feature checklist and more on the source material you start with. [Check Submagic's current plan terms](https://www.submagic.co/pricing) before choosing: these products change quickly. This is a workflow ranking, not a claim that one tool wins for everybody. Each pick has a clear fit and a reason to skip it. ScaleReach is included because we publish this site; its limitations are stated rather than hidden. ## The short answer | If your main job is… | Start with… | Why | |---|---|---| | Turning long podcasts or webinars into clips and publishing them | **ScaleReach** | Long-form clip discovery, reframing, captions, and publishing in one workflow | | Repurposing long-form content with a browser-first team workflow | **Vizard** | A practical fit for collaborative clipping and review | | Using the established purpose-built clipper | **Opus Clip** | A focused long-form-to-shorts workflow | | Editing by changing the transcript | **Descript** | Text-based editing is the product, not an afterthought | | Making creator-led, mobile-first content | **Captions** | A better fit when creation starts on a phone | | Recording remote interviews before clipping them | **Riverside** | Recording and repurposing live in the same workflow | | Processing YouTube-focused talking-head content on a budget | **2short.ai** | A focused option for that narrower use case | ## 1. ScaleReach — best for long podcasts, webinars, and publishing Choose ScaleReach when the hard part is finding several usable moments in a long source video, then getting those clips ready to publish. It is built around that pipeline: clip discovery, captions, reframing, hooks, and scheduling from one workspace. **Skip it** if caption-template variety is your only priority; Submagic's caption-led editor is the more natural comparison. See the direct [ScaleReach vs Submagic comparison](/alternatives/submagic/) for that one-to-one decision. ## 2. Vizard — best for browser-first repurposing teams Choose Vizard when several people need to turn webinars, interviews, or podcasts into social cuts inside a browser-based review workflow. It is the sensible alternative when collaboration and repurposing matter as much as the final caption style. **Skip it** if you want a single, opinionated long-form-to-publishing pipeline rather than a broader editor. Review [Vizard's current product details](https://vizard.ai/). ## 3. Opus Clip — best for a familiar, purpose-built clipper Choose Opus Clip when you want a specialist long-form-to-short-form tool with a well-known clipping workflow. It is a useful benchmark if your team already knows its editor or needs to compare the default category experience before switching. **Skip it** if predictable source-minute economics or an all-in-one publishing workflow matter more than the familiar brand. Read the [Opus Clip review](/blog/opus-clip-review/) for our tested limitations, or [how Opus Clip and Submagic compare on price and video length](/blog/opus-clip-vs-submagic/). ## 4. Descript — best for transcript-first editing Choose Descript when the final video needs meaningful editorial work after clipping: cutting lines, restructuring a conversation, cleaning audio, or collaborating on a script. Its text-first editing model makes it a better fit than Submagic when the transcript is your timeline. **Skip it** if your only job is automatically finding highlights from a long show. Review [Descript's current product](https://www.descript.com/). ## 5. Captions — best for creator-led mobile workflows Choose Captions when content starts as a talking-head recording on a phone and the creator wants to film, style, and publish in a mobile-first flow. That is a different workflow from sending a 90-minute podcast into a clipping engine. **Skip it** if your raw material is mostly long interviews, webinars, or YouTube uploads. Review [Captions' current product](https://www.captions.ai/). ## 6. Riverside — best when you record the source too Choose Riverside when remote recording is the first job and clipping is the follow-up. Keeping recording, transcripts, edits, and short-form extracts close together can remove handoffs for interview-led shows. **Skip it** if you already have the source files and only need a dedicated clipping workflow. Review [Riverside's current product](https://riverside.fm/). ## 7. 2short.ai — best for a narrow YouTube workflow Choose 2short.ai when the work is primarily turning talking-head YouTube uploads into short clips and you want a focused, lighter-weight tool. **Skip it** for broad collaboration, publishing, or a recording workflow. Review [2short.ai's current product](https://2short.ai/). ## How to choose without wasting a month 1. Pick one recent source video that represents your normal work. 2. Run it through two tools, not seven. 3. Count publishable clips after your own review—not clips generated. 4. Check whether the tool handles the next step: editing, approvals, or publishing. 5. Compare current terms on each vendor's official pricing page before paying. ## FAQ ### What is the best Submagic alternative overall? There is no universal winner. Choose ScaleReach for a long-form-to-publishing workflow, Vizard or Opus Clip for browser-based repurposing, Descript for transcript editing, Captions for mobile-first creator work, Riverside for recording plus clips, and 2short.ai for a narrow YouTube workflow. ### Is Submagic still worth using? Yes—when polished captions and fast short-form editing are the main outcomes. Its current site also presents publishing and long-form Magic Clips features. The reason to switch is not that Submagic is missing everything; it is that your source material or workflow may fit another tool better. ### Which Submagic alternative is best for podcasts? Start with ScaleReach, Vizard, Opus Clip, or Riverside. The right choice depends on whether the bottleneck is finding moments, reviewing clips with a team, publishing them, or recording the episode itself. ### Do these alternatives have the same pricing model? No. Tools in this category meter source minutes, videos with length caps, credits, seats, recordings, or add-ons. Compare the unit against your own monthly source material; a lower headline price does not automatically mean lower cost for your workflow. ## Disclosure ScaleReach competes with the products listed here and appears first only for the long-form-to-publishing workflow. Its known limitations are published in the [best AI video clipping tools](/blog/best-ai-video-clipping-tools/) roundup. No vendor paid for placement or links. Product capabilities and plan terms change; verify them with the linked official sources before buying. --- # Best Free AI Clip Generator in 2026: What Each Free Plan Actually Gives You URL: https://www.scalereach.ai/blog/best-free-ai-clip-generator-2026 Published: 2026-08-04 · Author: Hevin K Tags: AI Clip Maker, Free, Pricing, Comparison Every clipping tool markets a free plan, and every free plan means something different. "Free" ranges from 3 free videos ever to 100 minutes a month, from no watermark to a hard 3-day expiry on your exports. This is not a ranked list — the right free plan depends entirely on how much source video you have and what you're testing for — so instead it's a straight comparison of what you get, read off each vendor's own pricing page on **4 August 2026**. ScaleReach's own free allowance moved from 30 to 100 minutes on 7 September 2026 and is stated at the current figure; every competitor figure is still as read on 4 August. Disclosure: this is published by ScaleReach, one of the eight tools compared. Its own free plan is listed with the same limitations as everyone else's. ## Free plan comparison | Tool | Free allowance | Recurring? | Watermark | Export/storage limit | |---|---|---|---|---| | **ScaleReach** | 100 minutes | Monthly | Yes | 30 min max per upload | | Vizard | 60 credits (60 min upload) | Monthly | Yes, 720p export | 3-day project storage | | Opus Clip | 60 credits (60 min) | Monthly | Yes | Clips not exportable after 3 days, no editing | | Descript | 60 media minutes, 100 one-time AI credits | Monthly (minutes) | Not stated on plan card | — | | 2short.ai | 30 minutes of analysis | Monthly | Not stated | Fast exports capped at 60 min/month on paid Lite tier, not free | | Riverside | Unlimited recording | N/A — not minute-metered | Yes, 720p | Magic Clips included even on free | | Submagic | 3 videos | One-time, not recurring | Not stated | — | | Klap | None | — | — | — | One credit equals one minute of source video on Vizard and Opus Clip, so their free tiers are directly comparable to each other and to ScaleReach's minutes. Descript and 2short.ai meter differently enough that a direct minute-for-minute read is close but not exact — see the notes below. ## What each free tier is actually for **ScaleReach — 100 minutes/month, watermarked, renews monthly, 30 min cap per upload.** The largest monthly minute allowance in this comparison, enough for roughly three 30-minute podcast episodes through the full pipeline — real viral-moment detection, captions, and reframing on your own footage. The catch is the per-file cap: any single upload is limited to 30 minutes on the free tier, so the 100 minutes only spend on sources that are already short enough, and a longer episode needs splitting first. Renews every month rather than being a one-time trial, so it works as an ongoing low-volume option, not just a demo. **Vizard — 60 credits/month, 720p export, 3-day storage.** Double ScaleReach's free minutes, but the free-tier export is capped at 720p and watermarked, and unexported projects vanish after 3 days. Good for testing clip quality on a longer source video; the storage window means you need to export promptly. **Opus Clip — 60 credits/month, watermarked, no editing, 3-day export window.** Same minute allowance as Vizard, but the free tier explicitly excludes the editor — you get auto-generated clips only, no manual adjustment — and exported clips stop being downloadable after 3 days even though the credits are monthly. If you want to actually edit before you commit to a paid plan, this tier won't let you. **Descript — 60 media minutes/month, 100 one-time AI credits.** The most usable free tier by watermark policy: nothing on Descript's plan card states a watermark restriction, and clipping is one feature inside a full text-based editor rather than the whole product. The AI credits (for generative features like Studio Sound or Overdub) are separate from the 60 minutes and are a one-time grant, not monthly. **2short.ai — 30 minutes of analysis/month.** The smallest recurring minute allowance here, but every feature — face tracking, animated subtitles, brand presets — is unlocked on every tier including free, so the free plan isn't feature-limited, only volume-limited. Fast server-side export capping at 60 minutes/month is a Lite-tier ($9.90) detail, not part of the free plan. One wrinkle: its plan card says 30 minutes and a banner lower on the same page says 15, which our [2short.ai review](/blog/2short-ai-review/) records. **Riverside — unlimited recording, Magic Clips included, 720p watermarked export.** Different unit entirely: Riverside doesn't meter free-tier minutes because it's a recording platform first. If you're recording remote interviews and want clips from the same session, the free tier lets you test the full recording-to-clip pipeline, just at 720p with a watermark. **Submagic — 3 free videos, no card required.** Not a recurring monthly allowance — three videos, once. Best read as a one-time trial of caption quality rather than an ongoing free option. Submagic's actual long-video clipping feature (Magic Clips) is a separate paid add-on even on paid plans, so the free trial mainly demonstrates captions, not clip discovery. For a long-form-first option, see the direct [ScaleReach vs Submagic comparison](/alternatives/submagic/). **Reap — 1 hour/month, renews, 720p watermarked.** Not in the table above. Reap's pricing page (read 2026-10-08) calls its free plan "free forever": 1 hour of clipping and captioning a month, 9:16 only, projects deleted after 7 days. Our [Reap review](/blog/reap-video-review/) covers the paid plans. **quso.ai free plan: 75 credits/month, renews, 720p watermarked, TikTok only.** Not in the table above. quso.ai (formerly vidyo.ai) gives 75 credits a month on its free plan, which is about 75 minutes of source video, with 720p watermarked exports, a 5 GB upload cap, 7-day storage and publishing to TikTok only (quso.ai pricing, read 2026-10-13). It renews monthly, so it sits alongside Vizard and Opus Clip as an ongoing low-volume option. Our [quso.ai review](/blog/quso-ai-review/) covers the paid plans and how its credits are spent. **Choppity: 1 hour/month, renews, no downloads.** Not in the table above. Choppity's pricing page (read 2026-10-16) gives the free plan 1 hour of AI video analysis a month, the editor and captions, 2 GB of storage and 3-day projects, but lists exports and downloads as not included. It is a preview of what the AI picks, not a way to publish clips. Our [Choppity review](/blog/choppity-review/) covers what the paid plans cost. **VDClip: 30 minutes/month, renews, watermarked.** Not in the table above. VDClip's pricing page (read 2026-10-17) calls it a permanent free plan, with a watermark, 5-day project storage and publishing to six networks capped at 4 posts a day. Its home page lists a virality score on Free, but its comparison table does not. Our [VDClip review](/blog/vdclip-review/) has the paid plans in US dollars. **LumiClip: 60 minutes once, watermarked. Ssemble: no free plan found.** Neither is in the table above. LumiClip's pricing page (read 2026-10-19) gives 60 credits one time, 720p with a watermark and no social posting, while its home page describes a monthly limit. Ssemble's pricing page lists only paid plans. Our [LumiClip review](/blog/lumiclip-review/) and [Ssemble review](/blog/ssemble-review/) have the paid plans. **Klap — no free tier.** Klap's pricing page lists Basic, Pro, and Pro+ with no free option, only a money-back guarantee on paid plans. If a genuine free tier matters to you, Klap is excluded by default rather than by a limitation within a plan. ## The three things that actually differ **Monthly allowance, and separately the per-file cap.** ScaleReach gives 100 minutes, Vizard, Opus Clip and Descript 60 each, 2short.ai 30. But allowance and maximum upload length are two different limits, and the second one decides whether a given video is usable at all. A 45-minute podcast episode fits inside Vizard's, Opus Clip's and Descript's 60 minutes and uploads as one file. It fits inside ScaleReach's 100 minutes with room to spare and still needs splitting, because the free tier caps any single upload at 30 minutes. It does not fit 2short.ai's 30 minutes either way. So the tool with the most minutes is not automatically the tool that will take your longest video — check both numbers before assuming a free tier covers your source. And if your volume is serious, no free tier will cover it: we priced [the cost to clip 10 hours of podcast a month](/blog/cost-to-clip-10-hours-of-podcast-per-month/) across seven tools, and the largest free allowance covers a sixth of that workload. **Whether the free tier is monthly or one-time.** Submagic's 3 videos are a trial that runs out. Every other tool listed except Riverside renews its allowance every month, so it stays usable as a genuine ongoing option for low-volume creators, not just a way to kick the tires once. **What the watermark or export limit actually blocks.** A watermark alone (ScaleReach, Vizard, Opus Clip, Riverside) still lets you judge clip quality and caption accuracy — you just can't post the output publicly. Opus Clip's free tier goes further and removes the editor entirely, and its 3-day export window means an unexported clip is gone even though you're inside your monthly credit allowance. That's a meaningfully different kind of "free" from a watermark you can plan around. ## FAQ ### Which AI clip generator has the most generous free plan by minutes? By raw monthly minutes it is ScaleReach at 100, ahead of Vizard, Opus Clip and Descript at 60 each and 2short.ai at 30 — though ScaleReach caps a single upload at 30 minutes on the free tier, so the other three take a longer individual video in one piece. Note this page is published by ScaleReach; the figure is stated because it is what the pricing page says, not as a verdict. Descript's free tier is the only one of the minute-metered set that states no watermark restriction. Riverside doesn't cap free-tier minutes at all because it meters recording differently, not upload length. ### Is there a genuinely free AI clipping tool with no watermark? Descript's free plan card does not state a watermark limitation, which makes it the one clear exception in this comparison — every other tool listed watermarks free-tier exports. Confirm on Descript's own pricing page before relying on this, since plan terms change. ### Does Opus Clip's free plan let you edit clips before exporting? No. Opus Clip's own pricing page states editing is not included on the free tier — you get auto-generated clips as they come out of the pipeline, with export blocked entirely after 3 days even if you haven't used your monthly credits. This is a real constraint that vendor comparisons on price alone tend to skip. ### Which tool has no free tier at all? Klap. Its pricing page lists three paid tiers (Basic, Pro, Pro+) and a money-back guarantee, but no free plan. If testing without any commitment matters, exclude Klap and compare the other seven. ### Are these free-tier minutes worth using to actually test clip quality, or just to see the interface? For minute-metered tools (ScaleReach, Vizard, Opus Clip, Descript, 2short.ai) the free tier runs the real clipping and captioning pipeline on your own footage, not a demo video, so it's a genuine quality test — just watermarked and volume-limited. Riverside and Submagic's free tiers work the same way for their respective jobs (recording-to-clip, and caption polish). None of the eight tools compared give you a synthetic or degraded pipeline on the free tier; the limitation is volume and export, not quality. ## Disclosure This page is published by [ScaleReach](https://www.scalereach.ai/), which competes with every tool listed. ScaleReach's own free tier — 100 minutes/month, watermarked, 30 minutes maximum per upload — currently carries the largest monthly allowance here, and its restrictions are stated in the same detail as every other tool's, including the per-file cap that the allowance figure alone hides. No free tier is ranked above another; the comparison is by allowance and restriction, not verdict. No affiliate links. No vendor paid for placement. Competitor free-plan terms were read from each vendor's own pricing page on 4 August 2026; ScaleReach's own allowance changed on 7 September 2026 and is stated at the current figure. All terms are subject to change — verify before publishing further comparisons against this page. For paid-tier pricing and cost per source minute, see the [best AI video clipping tools](/blog/best-ai-video-clipping-tools/) and [best Opus Clip alternatives](/blog/best-opus-clip-alternatives/) roundups. Found a free-plan term that's changed? hevin@scalereach.ai. --- # The 9 Best AI Video Clipping Tools in 2026, Ranked by Job URL: https://www.scalereach.ai/blog/best-ai-video-clipping-tools Published: 2026-07-27 · Author: Hevin K Tags: AI Clip Maker, Comparison, Pricing, Review "Best AI video clipping tool" has no single answer, because the tools in this category are hired for at least six different jobs and priced in three different units. A tool that is excellent at turning a 90-minute podcast into 18 clips is a poor choice for polishing captions on a 45-second talking-head video, and the price comparison between them is meaningless anyway — one charges per input minute, the other per video with a length cap. So this list is organised by job. Every price was read off the vendor's own pricing page on **27 July 2026**. Where a page would not render a figure, that is stated instead of estimated. Disclosure: this is published by ScaleReach, one of the nine tools, and its limitations are listed in its own entry. If you are still deciding between a tool and a person, see [what an AI clip maker costs versus hiring a video editor](/blog/ai-clip-maker-vs-hiring-a-video-editor/). ## The six jobs, and the tool for each | Job | Pick | Entry price (27 Jul 2026) | Why | |---|---|---|---| | Long podcast or webinar into clips, cheaply | **ScaleReach** | $12/mo, $10 annual, 200 min | Lowest cost per source minute with scheduling included | | Same job, most included minutes | **Vizard** | $29/mo, $14.50 annual, 600+ credits | 4× Opus Clip's minutes at a similar headline price | | Cheapest way to test AI clipping at all | **2short.ai** | $9.90/mo, 5 hrs | $0.033 per source minute, all features on all plans | | Caption polish on short video | **Submagic** | $19/mo, $12 annual | Best caption output; clipping is a paid add-on | | Clip then keep editing | **Descript** | $24/mo, $16 annual, 600 min | Text-based editing on the same timeline | | Record the source and clip it | **Riverside** | $288/year (Pro) | Multitrack 4K recording with Magic Clips built in | The remaining three — Opus Clip, Klap and VEED — are covered below because they win specific edge cases, not because they lose. ## 1. ScaleReach — long-form to clips, cheapest per minute **Price:** Free $0 for 100 minutes (watermarked, 30 min max per upload — raised from 30 minutes on 7 September 2026, after the 27 July price sweep below). Starter $12/month, $10 annual, 200 min. Pro $18/month, $12.50 annual, 400 min. Agency $99/month, $49 annual, 5,000 min. **Unit:** source minutes. **$0.060/minute** on Starter monthly, $0.050 annual. Purpose-built for the podcast and YouTube case: viral-moment detection, word-by-word captions, auto-reframe, hook overlays, split-screen backgrounds, and publishing to connected accounts from the same dashboard. There is also an MCP server, so Claude or ChatGPT can run the pipeline directly, which no other tool in this list offers. **Limitations:** TikTok publishing has never completed successfully in our production data, because TikTok limits unaudited apps to private posts and ours is still in review. YouTube and Instagram have published at volume; LinkedIn connects but has no completed post in our data yet. Screen-share source footage does not survive a vertical crop. Gaming detection is driven by the transcript, so silent gameplay is effectively invisible to it. We measured what that does to a real stream in [our Twitch VOD to TikTok guide](/blog/turn-twitch-stream-into-tiktok-clips/). ## 2. Vizard — the same job with more headroom **Price:** Free 60 credits/month at 720p, watermarked, 3-day storage. Creator $29/month, $14.50 annual ($174/year), from 600 credits/month, 6 social accounts. Business $39/month, $19.50 annual, 20 social accounts, +$5/month per seat. **Unit:** credits, 1 credit = 1 minute of upload. **$0.048/minute** monthly, $0.024 annual. The cleanest interface in the category, 4K export, scheduling, subtitle translation, and 600 minutes of upload length per file. If your monthly volume is 5 to 10 hours, the annual Creator price is hard to beat on a pure minutes basis. **Limitations:** credits are consumed on upload, so an abandoned video still costs you. The free tier's 720p watermarked export makes it a demo, not a working plan. ## 3. 2short.ai — cheapest real per-minute price **Price:** Free 30 minutes of analysis/month. Lite $9.90/month, 5 hours. Pro $19.90/month, 15 hours. Premium $49.90/month, 50 hours. **Unit:** analysis minutes. **$0.033/minute** on Lite, $0.022 on Pro. Every feature is on every plan — face tracking, animated subtitles, unlimited 1080p exports, brand presets — and the tiers only change analysis hours. That is the most honest pricing structure here. **Limitations:** no scheduler, so publishing is manual. Lite caps fast server-side exports at 60 minutes a month. Output on overlapping or noisy audio is weaker than Opus Clip or Vizard. See our [2short.ai review](/blog/2short-ai-review/) for the plan-by-plan detail. ## 4. Submagic — captions, not clip discovery **Price:** 3 free videos. Starter $19/month, $12 annual, 15 videos up to 2 minutes. Pro $39/month, $23 annual, 40 videos up to 5 minutes. Business + API $69/month, 100 videos up to 30 minutes. **Magic Clips is a +$19/month add-on** (+$12 annual) for 10 long videos. **Unit:** videos, with a per-video length cap. The caption output is the best on this list and the Pro tier's AI clean audio, filler-word removal and bad-take removal are genuinely useful. Publishing to TikTok, YouTube and Instagram is included from Pro. **Limitations:** the length caps make the cheap plans unusable for podcasts, and turning long video into clips is a separate paid add-on. If you came here to clip a 90-minute episode, this is the wrong tool at the wrong price. Detail in the [Submagic review](/blog/submagic-review-for-captions-and-edits/), the direct [ScaleReach vs Submagic comparison](/alternatives/submagic/), or this ranked guide to [the best Submagic alternatives](/blog/best-submagic-alternatives/). ## 5. Descript — when the clip is a first draft **Price:** Free $0, 60 media minutes/month, 100 one-time AI credits. Hobbyist $24/month, $16 annual, 600 minutes. Creator $35/month, $24 annual, 1,800 minutes. Business $65/month, $50 annual, 2,400 minutes. **Unit:** media minutes. **$0.040/minute** monthly on Hobbyist, $0.027 annual. Text-based editing, Studio Sound, filler-word and retake removal, transcription in 25 languages, dubbing in 30+ on Business, and the most usable free tier in this list at 60 minutes with no watermark on the plan card. **Limitations:** clipping is one feature inside a full editor, so the automatic path has more steps. AI credits are metered separately from media minutes and generative features consume them quickly. That second meter is non-deterministic on Underlord runs, which is why [Descript's cost per clip can't be forecast](/blog/descript-review-for-short-form-teams/) the way a single-meter tool's can. ## 6. Riverside — record and clip in one place **Price:** Free $0, 720p, watermarked, Magic Clips included. Pro billed **$288/year**. Grow **$408/year**. Webinar $408/year. Business contact-sales. **Unit:** separate-track download hours — 15 on Pro, 20 on Grow. Local-quality multitrack recording up to 4K, unlimited transcription, text-based editing, AI B-roll and eye contact, podcast hosting, and publishing to YouTube, Spotify, Apple and Instagram. If you are recording remote interviews anyway, this collapses two subscriptions into one. **Limitations:** monthly-billing prices did not render on the page we loaded, so only annual totals are verified above. Clip selection is the weakest of any tool here, because clipping is a feature on a recording platform rather than the product. ## 7. Opus Clip — the default, and what that costs **Price:** Free tier, watermarked. Starter $15/month, 150 credits. Pro $29/month, $14.50 annual, **300 credits per month**. Business custom. **Unit:** credits, 1 credit = 1 source minute. **$0.100/minute** on Starter. The category default for a reason: strong caption defaults, genre-specific reframing models with moving-object tracking on upper tiers, screenshare and gameplay layouts, scheduling to five networks, and 4.1/5 across 600+ G2 reviews. **Limitations:** the highest cost per source minute in this list, and the credit allowance is widely misreported. Pro is 300 credits per month; the 3,600 figure repeated elsewhere is the annual total on yearly billing. At ten hours of source video a week, Pro covers roughly four days. Credits also expire, at 60 days on monthly plans, and Opus Clip's help centre gives two contradictory answers about what happens to them if you cancel — checked 2026-09-24 in [this breakdown of its credit expiry rules](/blog/do-opus-clip-credits-expire/). Full detail, including the correction we had to publish, in the [Opus Clip review](/blog/opus-clip-review/). If Opus Clip is the tool you are replacing, the [Opus Clip alternatives roundup](/blog/best-opus-clip-alternatives/) ranks the switch options by cost per source minute. ## 8. Klap — priced per clip, which sometimes wins **Price:** Basic $14/month billed yearly ($168), 100 clips/month. Pro $39/month yearly ($468), 300 clips. Pro+ $94/month yearly ($1,128), 1,000 clips. **Unit:** output clips. $0.140/clip on Basic, $0.094 on Pro+. All features on all plans, unlimited social accounts, analytics. The per-clip model means a three-hour source video costs exactly the same as a ten-minute one, which is the cheapest structure in this list if you feed long streams. **Limitations:** monthly-billing prices did not render for us — the figures above are the yearly-billing display, and the page's "Save 50%" toggle implies monthly is roughly double, which we are not stating as fact. No free tier, only a money-back guarantee. Detail in the [Klap review](/blog/klap-review-for-short-form-teams/), or see who undercuts it month to month in [five Klap alternatives priced monthly and yearly](/blog/best-klap-alternatives/). ## 9. VEED — one editor for everything, region-priced **Price:** free tier with watermarked 720p exports. Paid pricing renders in local currency; loaded on 27 July 2026 it returned Creator ₹520/user/month billed yearly (₹6,238/year), Pro ₹1,068, Studio ₹1,722, plus tax. **Unit:** AI credits — 6,000 on Creator, 30,000 on Pro. A genuine browser editor with subtitles in 125+ languages, translation to 50+, avatars, dubbing, eye-contact correction and 4K export, used by large teams. **Limitations:** per-user billing means team cost scales linearly, AI credits drain fast on avatar and dubbing work, and performance degrades on long source files. Clip usefulness out of the box trailed purpose-built tools in our testing. Detail in the [VEED review](/blog/veed-review-for-ai-clips/). **Also worth a look: Choppity, for transcript editing.** It cuts clips when you delete words from the transcript, beeps swear words with one toggle and lists 97 languages, but it is priced at $16.80 to $33.60 a month on yearly billing for 3 to 5 hours of analysis. Our [sourced review of Choppity's plans and limits](/blog/choppity-review/) has the numbers. **Also worth a look: VDClip, for low per-minute cost.** The Brazilian clipper prices by input minute, publishes to six networks, automates comment replies and DMs, and works at about $0.021 to $0.044 a source minute at its current promotional prices. Independent reviews of it are scarce. See [how VDClip's plans and limits stack up](/blog/vdclip-review/). **Also worth a look: LumiClip and Ssemble, for low cost.** LumiClip prices by input minute at about $0.010 to $0.028 depending on plan and billing cycle, and Ssemble charges one credit per video of up to 20 minutes, from $6 a month yearly. Independent reviews of both are scarce. See [LumiClip's plans and limits](/blog/lumiclip-review/) and [Ssemble's pricing and credit rules](/blog/ssemble-review/). ## What a long video actually returns Every tool in this category sells "10 viral clips from one video." Here is what our own pipeline produced across **1,224 source videos and 7,101 generated clips**, measured 27 July 2026. No competitor and no language model can reconstruct these numbers, which is the only reason they are worth publishing. | Source length | Videos | Mean clips returned | |---|---|---| | Under 5 min | 75 | 2.9 | | 5 to 15 min | 452 | 4.3 | | 15 to 30 min | 462 | 5.4 | | 30 to 60 min | 171 | 7.5 | | Over 60 min | 64 | **18.0** | The mean source video was 22 minutes. Median clip length came out at 42 seconds, mean 46.7. Median wall-clock processing time was 169 seconds for a 5-to-15-minute source and 330 seconds above 30 minutes. Mean transcription confidence was 0.972. Two uncomfortable findings in the same dataset. **The clip count claim only holds above an hour** — a 20-minute upload returns about 5 clips, not 10, and any tool implying otherwise is quoting its best case. And **virality scores bunch hard**: 82% of scored clips landed at 80 or above, which makes the score a decent way to order a review queue and a poor way to decide whether to post. Treat every vendor's virality score, ours included, as a sort key rather than a verdict. Scores are also far less comparable than a table suggests — we checked [what each tool actually publishes about scoring, tracking and captions](/blog/ai-clip-maker-feature-comparison/) and found four different answers across six tools. ## Three pricing units, one bad comparison The reason roundups in this category disagree with each other is that they compare headline prices across incompatible units. - **Per source minute** — ScaleReach, Opus Clip, Vizard, Descript, 2short.ai. You pay for input length. - **Per output clip** — Klap. You pay for what comes out, so long sources get cheap. - **Per video with a length cap** — Submagic. Cheap-looking until the 2-minute Starter ceiling and the separate clipping add-on land. Riverside meters recording hours and VEED meters AI credits, so neither is comparable on either axis. The practical move: count your real monthly source minutes, then divide. If you upload 6 hours a month, that is 360 minutes — $21.60 on ScaleReach Starter overage terms, $36 on Opus Clip Starter credits, $11.88 on 2short.ai Pro. If you upload three 3-hour streams instead, Klap's per-clip model beats all three. We ran the same division for a fixed 10-hour monthly workload in [our cost-to-clip-10-hours breakdown](/blog/cost-to-clip-10-hours-of-podcast-per-month/), where only two verified plans cover all 600 minutes. ## FAQ ### What is the best AI tool to turn long YouTube videos into short clips? For long-form source video specifically, the purpose-built options are ScaleReach ($12/month for 200 minutes), Vizard ($29/month, $14.50 annual, from 600 credits), Opus Clip ($15/month for 150 credits) and 2short.ai ($9.90/month for 5 hours). All four detect moments, caption, and reframe to 9:16. Choose on unit economics: per source minute, 2short.ai is cheapest at about $0.033, ScaleReach is $0.060 with scheduling included, Vizard is $0.048, and Opus Clip is about $0.100. Prices read from vendor pricing pages on 27 July 2026. ### How many clips do you actually get from one long video? Across 1,224 videos through our pipeline, a 15-to-30-minute source returned a mean of 5.4 clips, a 30-to-60-minute source 7.5, and a source over 60 minutes 18.0. Under 5 minutes returned 2.9. The widely marketed "10 clips from one video" only holds for hour-plus source material. Median clip length was 42 seconds. ### Which AI clipping tool has the best captions? Submagic, on the evidence of our own paid testing — its caption output is better than the defaults of the purpose-built clippers. The trade-off is structural: Submagic is priced per video with a 2-minute cap on the $19 Starter plan and 5 minutes on Pro, and clipping long video is a +$19/month add-on. Opus Clip has the strongest caption defaults among tools that also do clip discovery natively. ### Are AI virality scores worth anything? As a sort order, yes. As a verdict, not much. In our data 82% of 7,101 scored clips landed at 80 or above, and 10 clips scored above 100, which is a bug rather than a category. That distribution means the score separates the top of a batch from the bottom but cannot tell you whether a clip will perform. Every vendor in this category publishes a score and none of them, ours included, should be read as a prediction. ### Which tool should an agency with multiple client channels use? On published allowances, ScaleReach Agency at $99/month or $49 annual covers 5,000 minutes, 10 workspaces and 10 team members. The minutes stay in the subscribed workspace rather than spreading across all 10, which is why [running every client inside one shared workspace](/blog/ai-clipping-for-agencies-multiple-clients/) is the cheaper setup. Klap Pro+ at $94/month yearly covers 1,000 clips with unlimited social accounts. Opus Clip Pro is not an agency plan despite being marketed to agencies — 300 credits per month covers roughly four days of a ten-hour-per-week workload, so agencies need a Business quote. Check whether billing is per seat first: VEED, Submagic and Descript all charge per user or per member, which multiplies the headline price by team size. ### Can any of these tools also translate or dub the clips? Yes, at different depths. Descript dubs into 30+ languages on its Business tier with proofreading. VEED translates subtitles into 50+ languages and dubs. Vizard translates subtitles on paid tiers. Submagic added AI caption translation at the Pro tier. Opus Clip transcribes in multiple languages but does not dub, and its help centre says it does not support Hindi. If translation is the primary job rather than a nice-to-have, a dedicated editor beats a clipper. For Hindi speakers, [which tools make Hinglish captions](/blog/hinglish-captions-for-shorts-and-reels/) is covered separately. ## Disclosure This page is published by [ScaleReach](https://www.scalereach.ai/), which competes with every tool listed here. ScaleReach appears first for the long-form job under the cost-per-source-minute rule stated in the table, and its limitations are listed in its own entry: no successful TikTok publish in production, poor results on screen-share footage, transcript-driven gaming detection that misses silent gameplay, and a virality score where 82% of clips pass 80. No affiliate links. No vendor paid for placement. Prices come from public pricing pages, read 27 July 2026, with two deliberate gaps — Klap's and Riverside's monthly-billing figures did not render, so only annual figures appear — and VEED shown in the local currency its page returned rather than a USD conversion. Feature judgements draw on our own paid testing, written up in the [Opus Clip](/blog/opus-clip-review/), [VEED](/blog/veed-review-for-ai-clips/), [Submagic](/blog/submagic-review-for-captions-and-edits/), [Vizard](/blog/vizard-review-for-podcast-and-webinar-clips/) and [Klap](/blog/klap-review-for-short-form-teams/) reviews. We also publish sourced reviews of tools we have not paid for, including [quso.ai (formerly vidyo.ai)](/blog/quso-ai-review/). Pipeline figures were measured against the production database on 27 July 2026. Found a price that has changed? hevin@scalereach.ai. --- # 14 Best Opus Clip Alternatives (2026), Ranked by Price per Minute URL: https://www.scalereach.ai/blog/best-opus-clip-alternatives Published: 2026-07-27 · Author: Hevin K Tags: Opus Clip, Alternatives, AI Clip Maker, Pricing The cheapest Opus Clip alternative per minute of source video is **LumiClip at $0.028**, against Opus Clip's **$0.100** on its $15 Starter plan. Vizard is the closest like-for-like swap, Klap is cheaper if you think in clips rather than minutes, and Descript is the pick if the clip is only the start of an edit. Every price below is the US price, read from the vendor's own pricing page on **26 October 2026**. Disclosure: this list is published by ScaleReach, which is itself an Opus Clip alternative. It ranks seventh under the rule below, because that is where its price lands. No vendor paid for placement, there are no affiliate links, and every entry, ours included, states a limitation. ## Opus Clip alternatives at a glance US prices, 26 October 2026. "Monthly" is the cheapest plan without a watermark, on monthly billing. | # | Tool | Best for | Monthly | Cost per source minute | Posting included | |---|---|---|---|---|---| | 1 | LumiClip | Lowest price per minute | $9.99 | $0.028 | Yes | | 2 | Wayin.ai | Cheap minutes, schedule on Pro | $13.99 to $15.99 | $0.028 to $0.032 | From Pro ($26.99) | | 3 | 2short.ai | YouTubers testing AI clipping | $9.90 | $0.033 | No | | 4 | Descript | Clipping inside a full editor | $24 | $0.040 | No | | 5 | VDClip | Publishing to six networks | $6.56 (promo) | $0.044 | Yes | | 6 | Vizard | Closest swap for Opus Clip | $29 | $0.048 | Yes | | 7 | ScaleReach | Clips, scheduling and MCP in one tool | $12 | $0.060 | YouTube and Instagram | | 8 | Choppity | Transcript-based editing | $24 | $0.133 | YouTube only | | 9 | quso.ai | Clipper plus a social suite | $29 | $0.290 | TikTok on Lite, 7 networks from $39 | | | Klap | Long sources, priced per clip | $29 | $0.29 per clip | Yes | | | Submagic | Caption polish | $19 | per video | From Pro | | | Ssemble | Videos up to 20 minutes | yearly only | per video | Yes | | | Riverside | Recording and clipping in one | $35 | per recording hour | From Grow | | | VEED | One browser editor for a team | yearly only | per AI credit | No | | | *Opus Clip (baseline)* | | $15 | $0.100 | From Pro ($29) | ## How this list was ordered One rule, applied to every tool that charges by the minute: **cost per source minute on the cheapest watermark-free plan, billed monthly.** Monthly, because it is what you pay without committing to a year, and because two tools here have no yearly option on their entry plan. The yearly figures are in each entry and in the full table further down. Five tools sell a different unit: clips (Klap), videos (Submagic, Ssemble), recording hours (Riverside) and AI credits (VEED). They cannot be ranked on a per-minute price without inventing a conversion, so they follow the ranked list in their own section. The rule rewards whoever charges least for input video. It does not measure clip quality, and it does not care whether posting is included. If you cut a few very long videos, per-clip pricing wins. If caption polish is your bottleneck, Submagic wins and none of the arithmetic matters. Those cases are called out in the entries. ## What does Opus Clip cost in 2026? Opus Clip (now styled OpusClip) has four plans on its US pricing page, read 26 October 2026: | Plan | Monthly | Yearly | Credits | Notable | |---|---|---|---|---| | Free | $0 | $0 | 60 a month | Watermark, up to 1080p, clips stop exporting after 3 days | | Starter | $15 | not offered | 150 a month | Auto-post to Shorts, TikTok and Reels, no scheduler | | Pro | $29 | $14.50 a month ($174 a year) | 300 a month | Scheduler, 2 seats, API, MCP connector, rollover | | Business | custom | custom | custom | Full API, 4K, SSO | One credit is one minute of source video. Unused Pro credits roll over for 1 month on monthly billing and 2 months on yearly. So the entry plan works out to **$0.100 per source minute**, Pro to $0.097 monthly and $0.048 yearly. Two things to know before comparing. First, **OpusClip prices by country.** Its pricing script charges the top tier in the US, Canada, the UK, Australia and the euro area, and a lower tier in India, Brazil and Mexico, where Starter shows as $9. Every Opus Clip figure on this page is the US price. Second, the 3,600 credits you see quoted for Pro is the yearly total, not a monthly allowance; [we got this wrong ourselves](/blog/opus-clip-review/) and had to rewrite a review. What happens to credits when you cancel is [documented two contradictory ways](/blog/do-opus-clip-credits-expire/), and [the cancellation steps](/blog/how-to-cancel-opus-clip/) matter if you are on your way out. ## 1. LumiClip: the lowest price per source minute **Best for:** creators who want a full clipper with posting at the lowest price, and who will judge the clips on the free hour first. **Published price (US, 26 Oct 2026):** Free, 60 credits once (1 hour), no posting. Try-Out $7.99 one-time for 180 credits. Starter $9.99/month or $5/month billed yearly ($59.94), 360 credits a month, 6 social accounts and 100 posts a month. Pro $24.99/month or $12.49/month yearly, 1,200 credits, 20 accounts, unlimited posts. **Cost per source minute:** $0.028 monthly, $0.014 yearly on Starter. **Against Opus Clip:** under a third of Opus Clip's per-minute price, with publishing to TikTok, Instagram Reels, YouTube Shorts and LinkedIn on the entry plan, and an automation agent that watches a YouTube or Twitch channel and clips it. **Limitation:** a thin public track record, no refund on unused time, and a free allowance that does not renew. We did not run our own videos through it; [what LumiClip charges and where it is thin](/blog/lumiclip-review/) has the detail. ## 2. Wayin.ai: cheap minutes, scheduling from Pro **Best for:** high-volume clippers who are happy to publish by hand on the entry plan. **Published price:** Free, 100 credits once, 720p, exports for 3 days, no auto-post. Starter, 500 credits a month, was under a price test on 26 October: US loads showed $13.99 (with a $4.99 yearly option), $15.99 (once with a $7.99 yearly option) or no Starter at all. Pro is steady at $26.99/month for 1,000 credits, or $9.58/month yearly with 12,000 up front, and adds scheduled auto-publishing to 10 accounts and 2K and 4K export. One credit is one minute. **Cost per source minute:** $0.028 to $0.032 on Starter, $0.027 on Pro, and about $0.0096 on Pro yearly. **Against Opus Clip:** roughly a third of the per-minute price at 1080p, with scheduling on a plan that still costs less than Opus Clip Pro. **Limitation:** the entry price moved between page loads, so confirm it at checkout. Starter is manual publishing only, across 3 accounts, and the pricing page does not say whether paid exports carry a watermark. The [ScaleReach vs Wayin.ai page](/alternatives/wayin/) has the plan-by-plan detail. ## 3. 2short.ai: the YouTuber's test plan **Best for:** YouTubers testing whether AI clipping is worth paying for at all. **Published price:** Free, 30 minutes a month on the plan card (another section of the same page says 15). Lite $9.90/month for 5 hours, monthly only. **Cost per source minute:** $0.033 on Lite. The larger plans bring it lower. **Against Opus Clip:** a third of the price per minute, and every plan gets every feature. The tiers only change the analysis hours, which is an honest pricing model. **Limitation:** no scheduler, so publishing stays manual, and output on overlapping or noisy audio sits below Opus Clip. Plan-by-plan detail is in our [2short.ai review](/blog/2short-ai-review/). ## 4. Descript: when the clip is the start of an edit **Best for:** creators who keep editing after the clip is cut. **Published price:** Free, 60 media minutes a month at 720p with a watermark, plus 100 one-time AI credits. Hobbyist $24/month or $16 yearly, 10 media hours (600 minutes) and 400 AI credits. Creator $35/month or $24 yearly, 30 hours. Business $65/month or $50 yearly, 40 hours. **Cost per source minute:** $0.040 monthly, $0.027 yearly on Hobbyist. **Against Opus Clip:** text-based editing on the same timeline, Studio Sound and filler-word removal, inside a tool you can use for everything else. **Limitation:** auto-clipping is one feature inside a full editor, so it takes more steps than a purpose-built clipper, AI credits drain separately from media minutes, and there is no social scheduling. See [what Descript costs a short-form team](/blog/descript-review-for-short-form-teams/). ## 5. VDClip: publishing to six networks **Best for:** creators who post everywhere, including Facebook, LinkedIn and Threads. **Published price:** Free, 30 minutes a month, watermarked. Lite $6.56/month for 150 minutes (list $8.20, an undated 20% promotion), monthly only. Premium $15.46/month or $115.85 a year for 420 minutes a month. **Cost per source minute:** $0.044 on Lite at the promotional price, $0.055 at list. Premium is $0.023 on yearly billing. **Against Opus Clip:** publishing and scheduling to TikTok, Instagram, YouTube, Facebook, LinkedIn and Threads from the entry plan, at under half Opus Clip's per-minute price. **Limitation:** the cheapest prices depend on a promotion with no end date, and the track record outside Brazil is thin. We cover [what VDClip charges and where the promotion matters](/blog/vdclip-review/). ## 6. Vizard: the closest like-for-like swap **Best for:** people who want Opus Clip's workflow with more minutes for the money. **Published price:** Free, 60 credits a month, 720p, 3-day storage, 60-minute upload cap. Creator $29/month or $14.50/month yearly ($174), from 600 credits a month with social scheduling to 6 accounts. Business $39/month or $19.50 yearly, plus $5/month per extra seat, 20 accounts. **Cost per source minute:** $0.048 monthly, $0.024 yearly on Creator. **Against Opus Clip:** the same $29 headline as Opus Clip Pro for twice the monthly minutes, with scheduling included. **Limitation:** the free plan exports at 720p with a watermark, so it is a demo, and paid uploads cap at 600 minutes a file. Detail in our [Vizard review](/blog/vizard-review-for-podcast-and-webinar-clips/). ## 7. ScaleReach: clips, scheduling and an MCP server in one tool **Best for:** creators posting mainly to YouTube Shorts and Instagram Reels who want clipping, scheduling and an MCP server in one place. **Published price:** Free, 100 minutes, watermarked, 30 minutes per upload, no card. Starter $12/month or $10/month yearly, 200 minutes. Pro $18/month or $12.50 yearly, 400 minutes. Agency $99/month or $49 yearly, 5,000 minutes. **Cost per source minute:** $0.060 monthly, $0.050 yearly on Starter. Pro is $0.045 and $0.031, Agency $0.020 and $0.0098. **Against Opus Clip:** 40% cheaper per minute at the entry tier, scheduling from the $12 plan rather than the $29 one, 100 free minutes rather than 60, and an MCP server so Claude, ChatGPT or Cursor can run the pipeline. **Limitation, and it is not small:** TikTok publishing has never completed in production, because TikTok restricts apps it has not finished auditing to private posts and ours is still in review. YouTube and Instagram have published at volume; LinkedIn connects but has no completed post in our data. Screen-share footage does not survive a vertical crop well. And the virality score bunches: 82% of 7,101 generated clips scored 80 or above, which makes it useful for ordering a review queue and close to useless as an absolute verdict. Opus Clip's is no better, as [our test of its Virality Score](/blog/how-accurate-is-the-opus-clip-virality-score/) shows. The head-to-head is on the [ScaleReach vs Opus Clip page](/alternatives/opus-clip/). ## 8. Choppity: transcript-first editing **Best for:** editors who want to cut clips from a transcript, with profanity censoring built in. **Published price:** Free, 1 hour a month, but no downloads. Starter $24/month or $16.80 yearly ($201.60), 3 hours of AI video analysis, 1080p and 4K exports, 1 social account. **Cost per source minute:** $0.133 monthly, $0.093 yearly on Starter. **Against Opus Clip:** a transcript editor, 4K export from the entry plan and multi-speaker tracking. **Limitation:** a higher per-minute price than Opus Clip, a free plan you cannot download from, and a scheduler FAQ that says direct publishing is YouTube-only for now. See our [Choppity review](/blog/choppity-review/). ## 9. quso.ai: a clipper inside a social suite **Best for:** teams that want clipping, a content calendar, captions and analytics in one subscription. **Published price:** Free, 75 credits a month, 720p, watermarked. Lite $29/month for 100 credits, or $19/month yearly for 200. Essential $39/month for 300 credits, or $26 yearly for 600. **Cost per source minute:** $0.290 monthly and $0.095 yearly on Lite. Essential is $0.130 and $0.043. **Against Opus Clip:** from Essential up, scheduling to seven platforms, a content planner and analytics, from the former vidyo.ai team. Lite publishes to TikTok only. **Limitation:** Lite is the most expensive per minute on this list on monthly billing, so it only makes sense if you use the rest of the suite. We cover [how its credits are spent](/blog/quso-ai-review/). ## Opus Clip alternatives that charge in other units These five do not sell minutes, so a per-minute ranking would be made up. Here is what each charges for, and when that unit beats per-minute pricing. ### Klap: per output clip **Published price:** Basic $14/month billed yearly for 100 clips a month, Pro $39 for 300, Pro+ $94 for 1,000. The page shows yearly prices by default and says "Save 50%"; its own code lists monthly prices of $29, $79 and $189. Unlimited social accounts on every plan. No free plan. **Cost per clip:** $0.29 monthly and $0.14 yearly on Basic. **When it wins:** a three-hour stream costs the same as a ten-minute video, so long sources are cheap. If you are leaving Klap rather than Opus Clip, the [Klap alternatives comparison](/blog/best-klap-alternatives/) prices five tools monthly and yearly. ### Submagic: per video, with a length cap **Published price:** Starter $19/month or $12 yearly per member, 15 videos up to 2 minutes each. Pro $39 or $23, 40 videos up to 5 minutes, publishing to 1 profile per platform. Business + API $69 or $41, 100 videos up to 30 minutes. Magic Clips, the long-video clipping feature, now spends 8 plan credits per run (Starter has 45), per Submagic's help centre on 25 October 2026. **When it wins:** captions. Its caption output beats Opus Clip's defaults in [our paid test](/blog/submagic-review-for-captions-and-edits/). The 2-minute and 5-minute caps make the cheap plans a poor fit for podcast clipping; the [Opus Clip vs Submagic comparison](/blog/opus-clip-vs-submagic/) works through per-minute against per-video pricing. ### Ssemble: per video up to 20 minutes **Published price:** Pro $6/month billed yearly ($72), 360 video credits a year and 1 social connection. Expert $12/month yearly ($144), 840 credits, 3 connections. One credit covers one video up to 20 minutes. No free plan found and no refunds. **When it wins:** many videos of 15 to 20 minutes each, where it works out near $0.010 a minute. See [how Ssemble's credits work](/blog/ssemble-review/). ### Riverside: per recording hour **Published price:** Pro $35/month or $29 yearly ($348), Grow $45/month or $36 yearly ($432), with 15 and 20 hours of separate-track downloads. Free plan at 720p with a watermark, and Magic Clips on every plan. Publishing from Pro, scheduling from Grow. The page was running a price test on 26 October: some US loads showed $288 and $408 a year instead. **When it wins:** if you record the podcast in Riverside, the clips come out of the same tool. As a clipper alone it is weaker than anything ranked above. ### VEED: per AI credit **Published price:** Creator $147 per user per year (about $12/month) with 6,000 AI credits, Pro $265 (about $22) with 30,000, Studio $465 (about $39) with 180,000. One US load of the page showed a different version (Creator $10/month, Pro $19), so VEED is testing prices too. Posting to social is manual, per its help centre. **When it wins:** one browser editor for subtitles, translation and avatars across a team. Per-user billing makes it expensive as a pure clipper. See the [VEED review](/blog/veed-review-for-ai-clips/). ## Which Opus Clip alternatives are free? Every free plan here watermarks or limits exports, but the allowances differ enough to matter: | Tool | Free allowance | Renews monthly | Catch | |---|---|---|---| | ScaleReach | 100 minutes | No | Watermark, 30 minutes per upload | | Wayin.ai | 100 credits | No | 720p, exports for 3 days | | quso.ai | 75 credits | Yes | 720p, watermark | | Opus Clip | 60 credits | Yes | Watermark, exports for 3 days | | Vizard | 60 credits | Yes | 720p, 3-day storage | | Descript | 60 minutes | Yes | 720p, watermark | | LumiClip | 60 credits | No | No posting | | 2short.ai | 30 minutes | Yes | The page also says 15 | | VDClip | 30 minutes | Yes | Watermark | | Choppity | 1 hour | Yes | No downloads | CapCut is the other name people search for. Its long-video-to-shorts tool page calls the feature free and watermark-free, but its pricing page lists AI features under paid plans only, so check what your account allows before relying on it. ## The thing no roundup tells you: five pricing units Every headline-price comparison on this search result, including the ones that rank above this page, compares numbers that do not share a denominator. - **Per source minute.** Opus Clip, LumiClip, Wayin.ai, 2short.ai, Descript, VDClip, Vizard, ScaleReach, Choppity, quso.ai. You pay for input length. Good if you cut many short videos, punishing if you feed three-hour streams. - **Per output clip.** Klap. A 3-hour source costs the same as a 10-minute one, which flips the maths for long-form. - **Per video.** Submagic (with a 2 to 30 minute cap by plan) and Ssemble (up to 20 minutes). Cheap-looking until the cap bites. - **Per recording hour.** Riverside. - **Per AI credit.** VEED. Work out your own monthly source minutes and clip count before reading any price. On 1,224 videos through our pipeline the mean source video was 22 minutes and returned 5.4 clips in the 15-to-30-minute bucket, rising to 18 clips above 60 minutes (measured 27 July 2026). If your numbers look like that, per-minute pricing is cheaper. If you push a few very long streams, per-clip pricing wins. ## What Opus Clip still does better Switching is not free, and pretending otherwise would make the rest of this page less trustworthy. Opus Clip's caption defaults are stronger than most tools here out of the box. Its reframing has genre-specific models and moving-object tracking on the upper tiers. Pro adds an AI copilot that lets you search topics and prompt for clips, limited API access and an MCP connector that signs in with OAuth and can edit and export, not just clip. It also has the largest install base in the category: 4.6/5 from 124 reviews on G2's OpusClip listing and 4.0 from 509 on Trustpilot, both read 26 October 2026. If you are already on Pro at $14.50 a month yearly and publish roughly one hour-long episode a week, you are in the tier where Opus Clip's pricing is genuinely competitive, and the case for moving is weak. The [podcaster's breakdown of Opus Clip's plans](/blog/is-opus-clip-worth-it-for-podcasters/) runs that maths. The case for moving is strong at two ends: solo creators under 4 hours of source video a month who pay $15 for credits they never use, and agencies who find Pro's 300 monthly credits cover about four days of real volume. ## Full price table US prices from each vendor's own pricing page, 26 October 2026. | Tool | Free plan | Entry plan, monthly | Entry plan, yearly (per month) | Included per month | Unit | Per source minute, monthly | Per source minute, yearly | |---|---|---|---|---|---|---|---| | LumiClip | 60 credits once | $9.99 | $5 | 360 min | minutes | $0.028 | $0.014 | | Wayin.ai | 100 credits once | $13.99 to $15.99 (in test) | varies; Pro $9.58 | 500 min | minutes | $0.028 to $0.032 | Pro $0.0096 | | 2short.ai | 30 min/month | $9.90 | not offered | 300 min | minutes | $0.033 | n/a | | Descript | 60 min/month | $24 | $16 | 600 min | minutes | $0.040 | $0.027 | | VDClip | 30 min/month | $6.56 (promo) | not offered on Lite | 150 min | minutes | $0.044 | n/a | | Vizard | 60 credits/month | $29 | $14.50 | 600 min | minutes | $0.048 | $0.024 | | ScaleReach | 100 min once | $12 | $10 | 200 min | minutes | $0.060 | $0.050 | | Choppity | 1 hour, no downloads | $24 | $16.80 | 180 min | minutes | $0.133 | $0.093 | | quso.ai | 75 credits/month | $29 | $19 | 100 min (200 yearly) | minutes | $0.290 | $0.095 | | Klap | none | $29 (from page code) | $14 | 100 clips | clips | $0.29 per clip | $0.14 per clip | | Submagic | 3 videos | $19 | $12 | 15 videos up to 2 min | videos | n/a | n/a | | Ssemble | none found | not offered | $6 | 30 videos up to 20 min | videos | n/a | about $0.010 at 20 min | | Riverside | 720p, watermarked | $35 | $29 | 15 h track downloads | recording hours | n/a | n/a | | VEED | watermarked | not shown | about $12 per user | 6,000 AI credits | credits | n/a | n/a | | *Opus Clip (baseline)* | 60 credits/month | $15 | Pro $14.50 | 150 min | minutes | $0.100 | Pro $0.048 | ## FAQ ### What is the best Opus Clip alternative in 2026? It depends on what you pay for. On price per source minute, LumiClip is cheapest at $0.028 on monthly billing, against $0.100 for Opus Clip Starter. Vizard is the closest like-for-like swap, with twice Opus Clip Pro's minutes at the same $29. Klap is cheaper for long sources because it charges per clip, Descript suits creators who keep editing, and Submagic has the best captions. All prices are US, read 26 October 2026. ### What is the cheapest Opus Clip alternative? LumiClip, at $9.99 a month for 360 minutes, or $0.028 per source minute; on yearly billing it falls to $0.014. Wayin.ai ($0.028 to $0.032, its Starter price was in a test) and 2short.ai ($0.033) are close behind. VDClip's Lite plan has the lowest monthly price at $6.56, but that is a promotional figure with no end date, and it buys only 150 minutes. ### Is there a free Opus Clip alternative? Yes, several, though every free plan watermarks or limits exports. ScaleReach and Wayin.ai give 100 minutes once. quso.ai renews 75 credits a month at 720p, and Vizard and Descript renew 60 at 720p. Opus Clip's own free plan renews 60 credits a month, and its exports stop working after 3 days. CapCut's tool page calls its long-video-to-shorts feature free, but check your account before relying on it. ### How much does Opus Clip cost in 2026? In the US, Opus Clip Starter is $15 a month for 150 credits, monthly only, and Pro is $29 a month or $14.50 a month billed yearly ($174) for 300 credits. A credit is one minute of source video. The free plan gives 60 credits a month with a watermark, and Business is custom-priced. Prices are lower in some countries, including India, Brazil and Mexico, where Starter shows as $9. ### Is Opus Clip Pro really 3,600 minutes a month? No, and this is the most repeated error in this category. Pro includes 300 credits per month. The 3,600 figure is the yearly total when you pay annually. We published the wrong number ourselves and had to rewrite the agency verdict in our Opus Clip review, because 300 credits a month covers roughly four days of a ten-hour-a-week workload. How the yearly credits are granted is something Opus Clip's own help pages disagree about. ### Do these tools post the clips for you? Most do, from different plans. LumiClip, VDClip, Vizard, Klap and ScaleReach include posting on their entry paid plans. Wayin.ai, Opus Clip and Submagic start scheduling on Pro, quso.ai on Essential (Lite posts to TikTok only) and Riverside on Grow. Choppity publishes directly to YouTube only. 2short.ai, Descript and VEED leave posting to you. ScaleReach publishes to YouTube Shorts and Instagram Reels; TikTok stays private until TikTok finishes auditing our app. The [auto-posting comparison](/blog/auto-post-clips-to-tiktok-instagram-youtube/) has each vendor's rules. ## Disclosure This page is published by [ScaleReach](https://www.scalereach.ai/), an AI clipping tool that competes with every product listed. ScaleReach appears seventh under the ordering rule stated at the top, and its limitations (no successful TikTok publish in production, poor results on screen-share footage, a virality score where 82% of clips pass 80) are stated in its own entry. There are no affiliate links on this page. No vendor paid for placement or was contacted. Prices are US prices from each vendor's own public pricing page, read on 26 October 2026 through a US connection; several vendors show different prices in other countries. Feature claims for Opus Clip, VEED, Submagic, Vizard and Klap draw on our own paid testing, written up in the [Opus Clip](/blog/opus-clip-review/), [VEED](/blog/veed-review-for-ai-clips/), [Submagic](/blog/submagic-review-for-captions-and-edits/), [Vizard](/blog/vizard-review-for-podcast-and-webinar-clips/) and [Klap](/blog/klap-review-for-short-form-teams/) reviews. LumiClip, Wayin.ai, VDClip, Choppity, quso.ai and Ssemble are covered from their own pages, not hands-on tests. First-party pipeline figures (1,224 videos, 7,101 clips) were measured on 27 July 2026. If a price here is wrong, it is worth more to us to fix it than to leave it. Tell us at hevin@scalereach.ai. --- ## Changelog **26 October 2026.** Re-read every price from a US connection (Wayin.ai's Starter was in a price test that day), added LumiClip, Wayin.ai, VDClip, Choppity, quso.ai and Ssemble to the ranking, and re-ranked strictly by monthly cost per source minute. ScaleReach moved from first to seventh under that rule. Corrected: Riverside's yearly prices ($348 and $432, up from $288 and $408), Submagic's Magic Clips (now 8 plan credits per run, no longer a $19 add-on), Descript's free plan (watermarked at 720p), Opus Clip's G2 rating (4.6 from 124 reviews on its current listing) and Opus Clip's credit rollover (1 month on monthly Pro, 2 on yearly). Added Opus Clip's regional pricing. **24 September 2026.** Opus Clip's help pages disagree on whether yearly credits arrive up front or as twelve monthly grants; the page stopped taking a side. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 --- # Is Klap Free? Klap Pricing 2026 & 30-Day Review URL: https://www.scalereach.ai/blog/klap-review-for-short-form-teams Published: 2026-05-05 · Author: Hevin K Tags: Klap, Review, Short-Form Video I paid for Klap's Starter monthly ($29) for two weeks, then upgraded to Pro on annual billing ($39 effective monthly, billed annually) for two more weeks, and tested it across three podcast episodes, one long YouTube tutorial, and one panel discussion. This is the review I wish I'd read before clicking the annual-billing discount. A disclosure first: I run a small Klap alternative called ScaleReach. I have no affiliate relationship with Klap. I bought the plans with my own card to write this. The point of this review is not to push my product. It's to tell you what I found, with sources, so you can decide whether Klap fits the workflow you actually have. This review pulls numbers from klap.app/pricing, Trustpilot's Klap review sample (a smaller sample than Opus Clip's 302 but with sharper negative pattern), G2's 4.7/5 aggregate with 600+ reviews, ProductHunt's review threads, and direct quotes from creator-tool publications. Every claim links to a source. **Is Klap free?** Only for one video. Klap's homepage says you can "create 1 video for free", with no credit card required, and then you need a paid plan. As of 29 September 2026 those are Basic, Pro and Pro+ at $29, $79 and $189 a month, or $14, $39 and $94 a month billed yearly, for 100, 300 and 1,000 clips a month. The full plan table is [below](#the-plan-table). ## The 60-second verdict > **Buy if** you're a regular podcaster or YouTuber on talking-head content with the budget for annual billing on Pro or Pro+ ($39–$94/month effective). > > **Try if** you're a monthly creator publishing one or two long-form videos and you specifically want AI Dubbing in 29 languages or 4K export. > > **Skip if** you create tutorial content, gaming content, audio-first podcasts with limited visuals, or you need a mobile workflow. Klap has no native mobile app and no project-file export. > > **Bottom line:** Klap is genuinely strong AI for talking-head and podcast content. The 4K export and AI Dubbing in 29 languages are real differentiators. The customer support and refund track record is the major risk: Trustpilot and ProductHunt reviewers consistently cite unresponsive Discord support and difficulty getting refunds despite the advertised 14-day money-back guarantee. ## What is Klap? Klap is an AI video repurposing tool that ingests long-form video (podcasts, YouTube uploads, webinars) and outputs vertical short clips with auto-captions in 52 languages, AI dubbing in 29 languages, AI Reframe 2 speaker tracking, and 4K export on Pro tier and above, priced from $14/month billed yearly or $29 monthly. What it does, in four bullets: - Auto-detects engaging moments in long-form video and cuts them into vertical clips for TikTok, Instagram Reels, YouTube Shorts, and LinkedIn - Generates captions in 52 languages with customizable fonts, colors, and animation styles - AI Reframe 2 tracks single speakers and keeps them centered in vertical 9:16 crops - AI Dubbing translates a clip's audio into 29 languages on Pro+ tier (with claimed lip-sync) Klap, Inc. has run the product since 2022. As of May 2026, it markets itself with a 4.7/5 G2 rating across 600+ reviews and is consistently named alongside Opus Clip in "best AI clip generator" listicles. ## How I tested it Five pieces of source content went through the tool over 30 days. Here's the spec, because most reviews on this SERP are vague about it. **Source content (4 hours 4 minutes total):** 1. A 52-minute solo-host podcast (clean studio audio) 2. A 47-minute two-person interview podcast (Zoom recording, light overlap) 3. A 41-minute four-person panel podcast (heavy overlap) 4. A 53-minute YouTube tutorial (screen recording with voiceover) 5. A 31-minute solo podcast (recorded outdoors, some background noise) **Plan tier:** Starter monthly ($29) for the first two videos, Pro on annual billing ($39 effective monthly) for the remaining three. The annual discount triggered the 12-month commitment, which becomes relevant in the cancellation section below. **What I measured:** time to first clip, total clips returned per video, caption accuracy spot-checked on 12 random clips, AI Reframe 2 tracking quality (manual recrop count), AI Dubbing test on one Spanish-dubbed clip on Pro+ trial, virality score correlation with actual TikTok views over 14 days, support response time on a single test ticket sent to Klap's Discord. **Headline numbers:** Across five videos, Klap returned 64 clips. 38 were directly publishable, 17 needed light editing (re-cropping a head, fixing a caption, trimming an awkward boundary), and 9 were unusable (cut mid-sentence on the tutorial content, missed punchline, or stitched two unrelated topics together). That's a 59% out-of-the-box rate, slightly below Opus Clip's observed 62% in the same testing window. The gap is mostly tutorial-content driven; on talking-head podcast episodes alone, Klap's out-of-box rate climbs to 71%. ## Pricing and what you actually pay Klap has changed its pricing model since I tested it in May. Plans used to be metered by uploads (10 videos a month on Starter, with a 45-minute cap). As of 29 September 2026 they are metered by clips, and the entry plan is called Basic. Here's the current breakdown. ### The plan table | Plan | Monthly price | Billed yearly | Clips/month | |---|---|---|---| | Free trial | $0 | — | 1 video, no credit card required | | Basic | $29/month | $14/month | 100 | | Pro | $79/month | $39/month | 300 | | Pro+ | $189/month | $94/month | 1,000 | Source: [klap.app/pricing](https://klap.app/pricing), with both the monthly and yearly toggles read on 2026-09-29, and the free-trial FAQ on [klap.app](https://klap.app/), same date. Every plan lists AI clipping, unlimited social accounts and analytics. The pricing page no longer lists per-plan feature gates. The 4K-on-Pro and dubbing-on-Pro+ gates mentioned later in this review are what I saw during the May test. Klap's own pages also disagree on the upgrade price: the homepage FAQ says you can "upgrade to Klap Pro for just $29/month", while the pricing page lists Pro at $79 monthly and Basic at $29. ### How clip limits actually work The pricing page's headline is "Only pay for clips you generate." You're billed by **clips out**. That is different from source minutes (Opus Clip's model), and different from uploads (Klap's own model back in May). In my test Klap returned 64 clips from five videos, about 13 per upload. At that rate, Basic's 100 clips covers seven or eight uploads a month and Pro's 300 covers about 23. Two implications: 1. **Long episodes are cheap.** A 2-hour podcast costs the same per clip as a 20-minute one. There's no source-minute meter. 2. **Discards may still cost you.** 9 of my 64 clips were unusable. If a generated clip counts against the cap whether or not you use it, which "only pay for clips you generate" suggests, those count too. ### Worked example: solo podcaster You record two 45-minute episodes per month. At about 13 clips per upload that's roughly 26 clips, well inside Basic's 100. Basic costs $29 monthly or $14 billed yearly, which works out to about $1.12 or $0.54 per generated clip. You're paying for clip headroom you don't use, which is the same pattern as Opus Clip's source-minute credits in a different unit. If you're unsure how long each of those clips should run, we pulled the numbers on [podcast clip length per platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) separately. ### Worked example: agency You run 10 hours of client video per week across 8–12 separate uploads, or roughly 40 uploads a month. At about 13 clips per upload that's around 520 clips, past Pro's 300, so you land on Pro+ at $189/month or $94 billed yearly for 1,000 clips. Spread over roughly 2,600 source minutes a month, Pro+ billed yearly is about $0.04 per source minute. ### The annual-only discount trap Klap's 50% off annual discount across all paid tiers locks you into a 12-month commitment. This matters because the refund-difficulty pattern documented in user reviews (covered below) makes the annual lock-in materially riskier than the monthly tier. **Test on monthly first.** Switch to annual only once you've verified the workflow fits your content type for at least one billing cycle. ## Caption quality: the 52-language claim, tested Klap claims caption support across 52 languages. In spot-check testing on 12 clips with mixed audio quality, observed English caption accuracy was approximately 96% on clean solo dialogue and approximately 89% on conversation with overlap. Slightly higher than Opus Clip's English baseline (95% / 88%) on the same material, which matches what independent reviewers report. Where the captions break down: | Audio type | Observed accuracy (spot-check, n=12) | Common error type | |---|---|---| | Clean solo, studio mic | ~96% | Punctuation drift, brand-name miss | | Solo with light noise | ~94% | Filler-word over-insertion | | Two-person clean | ~91% | Speaker-attribution wrong on rapid back-and-forth | | Multi-speaker overlap | ~89% | Whole phrases dropped during overlap | | Non-American English accent | ~88% | Proper nouns mistranscribed | Customization is real: fonts, colors, animation style, position, background boxes, all configurable. Defaults are visually polished. Klap's caption styling is a step above Opus Clip's defaults on solo content. The 52-language claim was not exhaustively tested. Spanish, French, and Japanese spot-checks all read as fluent on short clips. For non-English-native creators, this is a real value claim; verify with a free-tier test on your specific language before committing. ## AI Reframe 2 and the editor AI Reframe 2 reliably keeps a single speaker centered. Out of 64 clips, only 3 needed manual recropping. On the panel discussion (4 speakers, heavy overlap), Reframe 2 tracked the active speaker correctly about 80% of the time and froze on a non-speaker for the remaining 20%, requiring a manual fix. For solo and two-person content, it works as advertised. The browser-based editor is functional but limited. Trim, caption tweak, font swap, basic positioning. No multi-track editing, no fine audio control. Export queue times during peak hours stretched to 5–10 minutes per Pro+ clip in testing. Manageable for batch workflows, frustrating if you're publishing one clip on a tight deadline. A real gap: **Klap does not give you the project file (XML) export.** You get the final video. Opus Clip and most desktop editors export an editable project file you can finish in another tool. With Klap, what you see is what you ship; if you want to finish a clip in Descript, CapCut, or Premiere, you're working from the rendered MP4 only. We compared [which clip tools hand over an editable timeline](/blog/ai-clip-maker-export-to-premiere-pro-davinci/) and when an MP4 is enough. ## Virality Score and the AI's content-type bias Klap assigns each clip a virality score on a 0–100 scale, scoring hook strength, pacing, and topic coherence. In testing on talking-head and podcast content, the scoring was directionally useful: clips scored 75+ averaged about 2.1x the views of clips below 50. Worth noting that the 0–100 range above is observed in the product — Klap does not publish a scale on its own site, one of several gaps in [how these tools document scoring and tracking](/blog/ai-clip-maker-feature-comparison/). Where the AI clearly struggles: 1. Tutorial content. Across 14 segment attempts on the YouTube tutorial source, the AI failed to identify natural break points 7 times. Cutting mid-explanation, stitching unrelated topics, or generating clips that "started" without context. 2. Gaming and visually static content. Klap relies heavily on speech detection. For audio-first podcasts with no visual variation, AI Reframe 2 has nothing to track and clip selection feels arbitrary. 3. Multi-speaker rapid back-and-forth. The 80%-correct active-speaker tracking on the panel test mentioned earlier propagates to the virality score. 4. Action / vlog content. Same issue as Opus Clip: the AI is tuned for spoken arcs, not visual highlights. For talking-head and podcast content, treat the score as a useful prioritization signal. For other content types, ignore it. ## AI Dubbing in 29 languages: does it work? Klap's AI Dubbing in 29 languages is a real differentiator vs Opus Clip and most competitors in 2026. On a single test pass dubbing English to Spanish on Pro+ trial, audio quality was natural for short clips (under 30 seconds), but lip-sync drifted noticeably on longer dialogue, and idiom translation was literal rather than localized. Specifics from the test: - Spanish output sounded fluent at the sentence level - Lip-sync drift began around the 35–40 second mark - An idiom in the source ("hit the ground running") translated literally rather than to a Spanish equivalent - Voice tone was generic; no preserved vocal character of the original speaker This is gated to Pro+ ($189/month or $94/month annual). At $94/month effective, AI Dubbing is the kind of feature that's transformative for international creators publishing in multiple languages, and overkill for most domestic creators. If you're a monolingual creator, you're paying for a feature you won't use. ## Cancellation, refunds, and the support track record Across Trustpilot's review sample, Klap's most-cited complaint is the gap between the advertised 14-day money-back guarantee and what users report receiving. Multiple ProductHunt and Trustpilot reviewers describe joining Klap's Discord for support and getting no response over multiple days, and refund requests via the in-app contact form going unanswered. The pattern is consistent enough across independent sources that it is not noise. Where to verify: [Trustpilot](https://www.trustpilot.com/review/klap.app), [ProductHunt reviews](https://www.producthunt.com/products/klap-2/reviews). Read the 1-star reviews directly. What users describe most often: - Annual subscriptions auto-billed without clear advance notice - Discord support unresponsive for several days, sometimes longer - Refund requests via in-app contact form go unanswered - The 14-day money-back guarantee not honored in some user reports - API documentation described as outdated and incomplete In testing, I sent one support inquiry through Klap's Discord. Response time was 4 days for an initial reply, longer than Opus Clip's roughly 24-hour response on a comparable test. I did not test the refund flow because I cancelled my paid plans during the active billing window. The Trustpilot pattern reflects a longer time horizon than 30 days. ### Before you cancel: the five-bullet checklist 1. **Download every clip you've already generated** to local storage. Klap doesn't give you project file (XML) access, so the rendered MP4 is your only output. 2. **Screenshot your active uploads, credit balance, and renewal date.** 3. **Note your card's last four digits** in case you need to dispute a post-cancellation charge. 4. **Document any Discord contact attempts**: screenshot timestamps and message content. This is your evidence trail if a refund dispute escalates. 5. **Cancel before the annual renewal locks in.** If you signed up on annual billing, the cancel-before-renewal window matters more here than on Opus Clip; the refund pattern is sharper. Most users won't have problems. A meaningful minority do. The checklist takes 15 minutes and is cheap insurance, especially against Klap's annual lock-in. ## Verdict by creator type Most Klap reviews give one verdict for everyone. Klap's content-type bias is sharper than Opus Clip's, so the segmented call matters more. ### For talking-head podcasters publishing 30+ minutes/week → **Try (with annual-billing caveat)** For talking-head podcasters publishing 30+ minutes per week of clean studio audio, Klap is genuinely strong. 96% caption accuracy on clean English speech is best-in-class, AI Reframe 2 tracks reliably, and the talking-head out-of-box clip rate climbs to 71% in testing. The catch: annual billing locks you in for 12 months, and the refund pattern is sharper than Opus Clip's. Start on monthly Basic; switch to Pro annual only after 30+ days of confirmed fit. ### For long-form YouTubers (30+ min) → **Try** Same case as podcasters with stronger visuals. AI Reframe 2 tracks well on solo on-camera presenters. Caption polish is a real win for YouTube Shorts. Try the free trial (1 video) first, then Basic monthly if the workflow fits. ### For course creators and coaches → **Skip if tutorial-heavy; Try if conversational** This is where Klap's content-type bias hits. Conversational coaching content (interviews, Q&A, live coaching calls) works well. Tutorial content (screen recordings with voiceover, step-by-step instruction) is where the AI fails. Across 14 tutorial-segment attempts in testing, 7 failed to identify natural break points. If your courses are 70%+ tutorial, use a different tool. ### For marketing agencies running multi-client video → **Try Pro+ for AI Dubbing only** If you're publishing the same content in multiple languages (English + Spanish, English + Portuguese), Klap's AI Dubbing in 29 languages is a real differentiator that competitors mostly don't have in May 2026. At Pro+ $94/month annual, it can be cost-justified for a multilingual agency. Otherwise, Opus Clip's flexibility on content types and clearer support track record makes it a safer agency tool. ### For gamers, streamers, and tutorial creators → **Skip** Klap's AI is tuned for spoken arcs and visual face-tracking. Gaming highlights, streaming clips, and step-by-step tutorial content don't have the structure Klap's algorithm expects. The Virality Score correlates poorly, AI Reframe 2 has nothing to track on gameplay or screen recordings, and the boundary detection is unreliable. Use a category-purpose tool. ## Klap alternatives worth knowing The most-cited Klap alternatives in 2026 are Opus Clip (cheaper entry, broader content type support), Vizard (similar workflow, lower entry price), Submagic (best-in-class captions), and ScaleReach (creator-priced with built-in scheduling and MCP integration). Each wins on a different axis. For a side-by-side with monthly and yearly prices for each, see [the five best Klap alternatives](/blog/best-klap-alternatives/). A short-form take on each (verify current pricing on each tool's pricing page before deciding): - **Opus Clip.** Cheaper entry ($15/month Starter vs Klap's $29 monthly Basic). Broader content-type support: gaming, vlogs, multi-speaker. Better-documented customer support track record. Doesn't have AI Dubbing in 29 languages. The most natural alternative for creators considering Klap. - **Vizard.** Workflow similarity to Klap with a slightly lower entry price (~$30/month published). UI is cleaner. Caption polish comparable on clean audio. - **Submagic.** Caption-first tool starting around $19/month. The best caption polish in the category. Different workflow: more emphasis on captions than auto-clipping. - **2short.ai.** Real free tier useful for testing. Output quality below Klap on complex audio. Paid tiers from around $10/month. - **ScaleReach.** Disclosure: I run this. Lower entry price ($12/month, or $10/month billed annually), built-in scheduler, MCP integration with Claude/ChatGPT. Compare features directly on the [comparison page](https://www.scalereach.ai/alternatives/klap/) if you're shopping. For a longer breakdown, the [G2 alternatives list](https://www.g2.com/products/klap/competitors/alternatives) is the most exhaustive third-party comparison as of May 2026. ## FAQ ### Is Klap free? No, apart from one trial video. Klap's homepage says you can create 1 video for free, with no credit card required. After that you need a paid plan: Basic at $29/month for 100 clips, Pro at $79 for 300, or Pro+ at $189 for 1,000. Billed yearly, those drop to $14, $39 and $94 a month. All prices were read from klap.app/pricing on 29 September 2026. The single trial video is enough to judge whether Klap suits your content type. ### Is Klap worth it? Klap is worth it for talking-head podcasters and YouTubers publishing 30+ minutes per week of clean speech-driven content, especially if you need 4K export or AI Dubbing in 29 languages. It's the wrong tool for tutorial creators, gamers, audio-first podcasters with limited visuals, or creators needing a mobile workflow. Klap has no native mobile app and no project-file export. Test on monthly billing before committing to the annual 50% discount. ### How accurate are Klap's captions? Klap supports captions in 52 languages and AI Dubbing in 29. In English spot-checks on 12 clips, observed accuracy was about 96% on clean solo dialogue and about 89% on overlapping conversation. Slightly higher than Opus Clip's English baseline. Spanish, French, and Japanese spot-checks all read as fluent on short clips, but verify on your specific language with the free trial. ### Does Klap have a mobile app? No. Klap is web-only as of May 2026. There's no native iOS or Android app. If your workflow depends on clipping or scheduling from mobile, this is a structural limitation. Mobile browsers can access the dashboard, but the editor experience is built for desktop and works poorly on smaller screens. ### Does Klap give you the project file (XML)? No. Klap exports the final rendered video (MP4) only. You don't get an editable project file you can open in Descript, CapCut, Premiere, or another editor. If your workflow involves finishing clips in another tool, you'll be working from the rendered output. Making changes is destructive, not non-destructive. ### Is Klap safe to cancel? Will I get a refund? Most users cancel without incident, but Trustpilot and ProductHunt reviews describe sharper refund difficulties than at competing tools. The advertised 14-day money-back guarantee is reportedly not honored in some user reports, and Discord support has been described as unresponsive over multiple days. Before canceling: download all clips, screenshot uploads and renewal date, document Discord contact attempts, and cancel before annual renewal locks in. ### What's the best Klap alternative? There is no single best alternative; the right one depends on your content type and budget. Opus Clip wins on entry price ($15) and broader content-type support, Vizard on workflow similarity at lower price, Submagic on caption polish, and tools like ScaleReach (disclosure: my product) on creator-direct pricing and integrations. The G2 alternatives list is the most exhaustive third-party comparison. ## The bottom line Klap is a competent tool with two real differentiators (4K export, AI Dubbing in 29 languages) and one major risk (the customer-support and refund track record). The 96% caption accuracy on clean English audio is genuinely strong. AI Reframe 2 tracks reliably on talking-head content. The Virality Score is useful for podcast and conversational content but breaks down on tutorials, gaming, and audio-first material. The lack of a mobile app and the lack of project-file export are structural limitations that matter for some workflows. If you fall in the talking-head podcaster or YouTuber bucket and you can swallow the annual lock-in, Klap is a real option. Start monthly to verify fit. If you create tutorials, gaming content, or audio-first podcasts, Klap is the wrong AI; Opus Clip's broader content support handles those cases better. --- ## Changelog **September 2026 update.** I re-read Klap's pricing on 29 September 2026. Klap has switched from upload-based plans (Starter: 10 uploads, 45-minute cap) to clip-based plans: Basic at 100 clips, Pro at 300 and Pro+ at 1,000. The prices are unchanged at $29, $79 and $189 monthly, or $14, $39 and $94 billed yearly. I replaced the plan table and reworked the worked examples for the per-clip model, and removed the "$23.20 annual" entry figure, which no longer appears on Klap's site. The free trial (1 video, no card) was confirmed on Klap's homepage the same day. The 30-day test results are unchanged; they come from May. **Last reviewed:** September 2026 **Next planned refresh:** December 2026 **Update hooks:** Trustpilot rating and review count; G2 sub-scores; Klap's plan pricing if it changes; AI Dubbing language count if expanded; new feature releases (especially mobile app launch); shifts in Reddit / ProductHunt sentiment. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), a Klap alternative built for podcasters and creators at $10/month. He paid for Klap's Starter monthly and Pro annual plans to write this review and has no affiliate relationship with Klap. If you want a side-by-side comparison of ScaleReach and Klap, see the [comparison page](https://www.scalereach.ai/alternatives/klap/); otherwise, this review stands as-is.* --- # Submagic Review (2026): Honest Take After 30 Days of Testing URL: https://www.scalereach.ai/blog/submagic-review-for-captions-and-edits Published: 2026-05-05 · Author: Hevin K Tags: Submagic, Captions, Review I paid for Submagic's Starter plan ($19) for a week, then upgraded to Pro on annual billing ($23 effective monthly) for the remaining three weeks, and tested it across three face-to-camera short clips, two podcast episodes, one webinar, and one long YouTube tutorial over 30 days. This is the review I wish I'd read before subscribing. A disclosure first: I run a small Submagic alternative called ScaleReach. I have no affiliate relationship with Submagic. Unlike some reviews on this SERP that lead with discount codes, this one is paid out of pocket and doesn't include any. I'm telling you what I found, with sources, and the only ScaleReach mention is in the author bio at the end. This review pulls numbers from submagic.co/pricing, [Trustpilot's Submagic review sample](https://www.trustpilot.com/review/submagic.co), [G2's 4.7/5 across 83 reviews](https://www.g2.com/products/submagic/reviews), ProductHunt review threads, and direct quotes from independent reviewer reports. Every claim links to a source. ## The 60-second verdict > **Buy if** you're a face-to-camera creator publishing short-form content weekly and caption polish is what drives engagement on your channel. > > **Try if** you're a short-form creator who wants eye contact correction (Pro plan) or 100+ language captions for international content. > > **Skip if** you're a long-form podcaster or YouTuber wanting reliable auto-clip detection from hour-long source content. The auto-clipper exists, but it's materially weaker than Opus Clip or Vizard for this workflow. > > **Bottom line:** Submagic has the best captions in the AI clip generator category. 99% accuracy across 100+ languages is real and well-documented. The product expanded in 2026 to include AI Auto-Edit, Magic B-Rolls, auto-clipping, and eye contact correction. The honest critique: auto-clip detection on long-form podcast content is the weakest of the four tools tested in this series, and the G2 / Trustpilot billing pattern (auto-renewals without notice, refund policy buried in ToS) is a real risk worth knowing. ## What is Submagic? Submagic is an AI short-form video editor that started as a caption-focused tool and expanded in 2026 into AI Auto-Edit (one-click full edit), Magic B-Rolls (Storyblocks-integrated), auto-clipping for long-to-short, and eye contact correction. The caption engine remains the flagship at 99% accuracy across 100+ languages, priced from $14/month annual on the Starter plan. What it does, in four bullets: - Auto-generates animated captions in 100+ languages with the largest template library in the category (styles inspired by Hormozi, MrBeast, and similar creators) - AI Auto-Edit produces a one-click full edit: captions, B-roll, silence removal, auto-zoom, sound effects, and a generated hook - Magic B-Rolls reads your transcript and inserts contextually relevant clips from a built-in Storyblocks library - Eye contact correction (Pro plan) adjusts where a speaker is looking on camera so they appear to be making direct eye contact with the lens Submagic is well-aggregator-rated as of May 2026: G2 4.7/5 across 83 reviews, ProductHunt strong sentiment, Trustpilot mixed (positive on product, real billing complaints). ## How I tested it Seven pieces of source content went through the tool over 30 days. The mix was deliberate. Submagic markets to face-to-camera creators primarily, but ships an auto-clipper, so the test set covers both use cases. **Source content (3 hours 47 minutes total):** 1. A 2-minute face-to-camera short (talking head, clean studio audio) 2. A 90-second face-to-camera UGC-style clip 3. A 3-minute face-to-camera tutorial introduction 4. A 49-minute solo podcast (clean studio audio) 5. A 56-minute two-person interview podcast 6. A 47-minute single-presenter webinar 7. A 41-minute YouTube tutorial (screen recording) **Plan tier:** Starter monthly ($19) for week 1, then Pro on annual billing ($23 effective monthly) for weeks 2–4. **What I measured:** caption accuracy across English, Spanish, and French; AI Auto-Edit one-click output quality; Magic B-Roll relevance to transcript; auto-clipper performance on podcast vs face-to-camera source; eye contact correction on Pro tier; support response time on a single test ticket. **Headline numbers:** Across seven source pieces, Submagic generated 52 outputs. 36 were directly publishable, 11 needed light editing, and 5 were unusable. That's 69% out-of-the-box on face-to-camera content but only 41% on long-form podcast-to-clips. The clearest content-type bias of the four tools tested in this series. For comparison, Opus Clip and Vizard each landed at 62% out-of-the-box on equivalent podcast methodology, and Klap at 59%. ## Pricing and what you actually pay Submagic's pricing is mid-pack in the category, with a per-video model that's different from Opus Clip's per-minute and Vizard's credit pool. Here's the breakdown. ### The plan table | Plan | Monthly price | Annual equivalent | Videos/month | Max video length | Notable gates | |---|---|---|---|---|---| | Free | $0 | $0 | ~10 minutes/month total | 1 minute | Watermarked exports, limited features | | Starter | $19/month | $14/month (50% off) | 15 videos | 2 minutes each | No watermark, AI Auto-Edit, Magic B-Rolls | | Pro | $39/month | $23/month (50% off) | 40 videos | Longer | Eye contact correction, advanced features | | Business | $69/month | $30/month (50% off) | 100 videos | Longest | 4K export, API access, team workspace | Source: [submagic.co/pricing](https://www.submagic.co/pricing) (verified 2026-05-01). ### How the per-video-with-time-cap model works Submagic counts videos, not source minutes. Each Starter video can be up to 2 minutes; Pro lifts that significantly. This pricing model fits face-to-camera short-form workflows naturally. Most creators publish clips under 2 minutes anyway. It fits poorly for podcast-to-clips workflows because long-form source content gets gated by the per-video limit before the credit-pool would matter. ### Worked example: face-to-camera creator You publish 12 short clips per month on TikTok and Instagram Reels, each under 2 minutes. On Starter at $14/month annual, you use 80% of the 15-video limit and pay roughly $0.06 per output minute. Adding the Storyblocks library (worth ~$15/month standalone) into the included Magic B-Roll feature effectively doubles the value for creators who would otherwise pay for stock footage separately. ### Worked example: podcaster You record two 45-minute episodes per month and want 8–10 clips per episode. The 2-minute Starter cap means you can't process a full episode in one upload; you'd be uploading 8–10 individual clips you've already pre-cut, defeating the purpose of auto-clipping. The Pro plan lifts the time cap and is the realistic minimum for podcaster workflows. Even on Pro, the auto-clipper's 41% out-of-box rate (covered below) means you're doing meaningful manual work. ### The Storyblocks-included calculus Submagic's Magic B-Roll feature uses Storyblocks's commercial library at no additional cost. Standalone Storyblocks subscription runs roughly $15/month. For face-to-camera creators who would otherwise pay for stock footage, Submagic's Starter plan effectively costs ~$0/month after netting out the Storyblocks value. This materially shifts the cost calculation against competitors that don't bundle stock footage. ### The 4K export gating to Business If you need 4K export, you're on Business at $30/month annual or $69 monthly. Most short-form social platforms cap at 1080p anyway, so this matters mainly for creators publishing to YouTube Shorts in 4K or repurposing for higher-resolution feeds. ## Caption quality: best in category, tested Submagic claims 99% caption accuracy across 100+ languages. In spot-check testing on 14 clips with mixed audio quality, observed English accuracy was approximately 99% on clean solo dialogue and approximately 94% on conversation with overlap. The highest of any tool tested in this series. Caption styling defaults are also visually polished out of the box, and the animated template library (inspired by Hormozi and MrBeast styles) is the largest in the category. Where the captions perform across the test set: | Audio type | Observed accuracy (spot-check, n=14) | Common error type | |---|---|---| | Clean solo, studio mic | ~99% | Negligible — punctuation drift only | | Solo with light noise | ~97% | Filler-word handling (Submagic removes; some users want them) | | Two-person clean | ~95% | Speaker-attribution on rapid back-and-forth | | Multi-speaker overlap | ~94% | Phrase truncation during heavy overlap | | Spanish | ~98% | Idiom literalness, but high baseline | | French | ~97% | Punctuation differences | This is the strongest caption performance I've measured across the four tools in this series. If captions are your primary value driver, Submagic earns the top spot honestly. The visual styling is also a real differentiator. Hormozi-style highlights, MrBeast-style emoji bursts, scroll-stopping color combinations. Submagic's template library is more curated and creator-tuned than what Opus Clip, Vizard, or Klap ship by default. Customization (fonts, colors, position, animation) is granular. ## AI Auto-Edit, Magic B-Rolls, and eye contact correction Submagic's expanded 2026 feature surface deserves honest assessment beyond just captions. **AI Auto-Edit** is the one-click feature that simultaneously generates animated captions, removes silences and filler words, inserts contextual B-roll from Storyblocks, adds auto-zoom effects, applies sound effects at transitions, and generates an attention-grabbing hook. In testing on face-to-camera content, the one-click output was usable as-is for 7 of 12 short clips. The other 5 needed manual fixes. Most often the auto-generated hook didn't match the clip's actual content, or the auto-zoom landed on the wrong frame. For batch face-to-camera workflows, this is a genuine time-saver. For curated content, expect to override 30–40% of decisions. **Magic B-Rolls** relevance was strong. Across 14 B-roll inserts in testing, 10 were contextually correct (vs Klap's 7 of 11 on similar testing). The Storyblocks library provides higher-quality footage than the AI-image-generation B-roll some competitors use. The slider control for B-roll frequency is a small but useful UX touch. **Eye contact correction** (Pro plan only) is genuinely unique in the AI clip generator category in 2026. The feature adjusts where a speaker is looking on camera so they appear to be making direct eye contact with the lens. Useful for creators who read from a script or notes and want the on-camera result to look more natural. In testing, it worked reliably on the test clips, though it produces a subtle uncanny effect on some speakers when the original gaze direction was substantially off-camera. For face-to-camera creators specifically, this is a real differentiator worth the Pro tier upgrade. ## Auto-clipping: does Submagic actually do podcast-to-clips? This is the post's central honest critique, and it matters because Submagic now markets auto-clipping as a feature alongside its caption engine. Yes, Submagic ships an auto-clipper that turns one long video into multiple short-form clips. In testing on the same podcast and webinar source content used to test Opus Clip (62% out-of-box), Vizard (62%), and Klap (59%), Submagic's auto-clip out-of-box rate was 41% on long-form podcast content. The clip detection uses face tracking and speaker signals as primary inputs. That works well for face-to-camera content where clip boundaries are visually obvious, but materially weaker for spoken-word podcast workflows where the right clip boundary is narrative, not visual. Cross-tool comparison on equivalent podcast methodology: | Tool | Out-of-box rate (podcast content) | |---|---| | Opus Clip | 62% | | Vizard | 62% | | Klap | 59% | | **Submagic** | **41%** | The 21-percentage-point gap vs Opus Clip and Vizard is structural, not incidental. Submagic's auto-clip approach is face-detection-first; Opus Clip and Vizard use narrative-arc detection. For face-to-camera content (where visual boundaries match narrative boundaries), Submagic's auto-clipper hit 69% out-of-box in testing. For spoken-word podcasts (where visual is static), it broke down. The implication: if you're a podcaster looking for auto-clip detection as your primary workflow, Submagic is the wrong tool even though it ships the feature. Use Opus Clip or Vizard to identify clip moments, then Submagic for caption finishing if caption polish is what you're chasing. ## Cancellation, billing, and the refund pattern Submagic's most consistent honest critique across G2 and Trustpilot is the billing experience: auto-renewals charged without advance notice, the refund policy buried in the Terms of Service with no grace period at checkout, and customer support reportedly unhelpful on disputes. The volume is smaller than Klap's pattern but the texture is similar. The product itself is strong; the billing experience is where multiple verified reviewers report friction. What G2 and Trustpilot reviewers report most often: - Annual subscriptions auto-renewed without clear advance email notice - Refund policy buried in Terms of Service rather than surfaced at checkout - No grace period for accidental subscriptions or quick-cancel requests - Customer support described as slow or unhelpful on billing disputes - At least one Reddit user documented multiple days of site downtime with no proactive compensation offered In testing, I sent one support inquiry through Submagic's contact form. Response time was about 36 hours for first reply. Slower than Vizard's 14 hours but faster than Klap's 4 days. I did not test the refund flow. ### Before you cancel: the four-bullet checklist 1. **Download every video you've already generated** to local storage. 2. **Screenshot your active plan, video count, and renewal date.** 3. **Document any support contact attempts**: screenshot timestamps and message content. 4. **Cancel at least 5 days before the annual renewal locks in.** Most users won't have problems. A meaningful minority do, and the texture is consistent enough across G2 and Trustpilot that the checklist is worth the 10 minutes. ## Verdict by creator type Submagic's content-type bias is sharper than Opus Clip's, Klap's, or Vizard's, so the segmented call matters more. ### For face-to-camera short-form creators → **Buy — strongest fit** Submagic's clearest fit is the face-to-camera short-form creator publishing weekly: caption polish at 99% accuracy, eye contact correction on Pro tier, AI Auto-Edit handling the basics in one click, and a per-video pricing model that fits short-clip volume well. If your channel is mostly talking head clips for TikTok / Reels / Shorts, this is the tool. ### For long-form podcasters or YouTubers → **Skip as primary; Try as secondary captioning tool** Submagic's worst fit is the long-form podcaster wanting reliable auto-clip detection from hour-long source content. The 41% out-of-box rate vs Opus Clip and Vizard's 62% is a structural gap. Face-detection-first AI doesn't work where the source is audio-driven. Use Opus Clip or Vizard to identify clips, then optionally pipe through Submagic for caption finishing if you want the polish. ### For course creators and coaches → **Try if conversational; Skip if tutorial-heavy** Conversational coaching content (interviews, Q&A, live coaching) where the speaker is on camera works well. The face-detection-first approach matches the content. Tutorial content (screen recordings) is the wrong fit. Same content-type bias as Klap and Vizard, but sharper here. ### For marketing agencies → **Try Pro for face-to-camera UGC content** If your agency produces face-to-camera UGC content for brand clients (talking-head testimonials, product demos by creators on camera, founder-led video), Submagic's Pro plan with eye contact correction is a genuinely strong fit. For agencies running webinar-to-clips workflows, Vizard or Opus Clip is the better choice. ### For multilingual creators → **Buy** 100+ language caption support with high accuracy on Spanish, French, and other major languages is a real differentiator. If your audience is international and captions matter, Submagic earns the spot honestly. ## Submagic alternatives worth knowing The most-cited Submagic alternatives in 2026 are Opus Clip (better long-form auto-clip + lower entry pricing), Vizard (best aggregator reputation, mobile-capable), Klap (4K export and AI Dubbing), Captions AI (iOS-native, face-to-camera focused), and ScaleReach (creator-priced with built-in scheduler and MCP integration). Submagic remains best in category for caption polish. A short-form take on each (verify current pricing on each tool's pricing page before deciding): - **Opus Clip.** Lower entry pricing ($15 Starter vs Submagic's $19). Better long-form podcast-to-clips auto-detection (62% vs Submagic's 41% in testing). Caption polish is below Submagic's but adequate for most workflows. - **Vizard.** Best aggregator reputation in the category (G2 4.7 / Trustpilot 4.8 / Capterra 4.9). Mobile-capable browser experience. Lower pricing entry. See [my Vizard review](https://www.scalereach.ai/blog/vizard-review-for-podcast-and-webinar-clips) for detail. - **Klap.** 4K export and AI Dubbing in 29 languages. Watch the support track record (see [my Klap review](https://www.scalereach.ai/blog/klap-review-for-short-form-teams) for sourced specifics). Caveat: Klap's own dubbing URL 404s as of September 2026, so verify that feature before paying for it. - **Captions AI.** iOS-native (Submagic is browser-only). Face-to-camera focused with strong caption polish. Different workflow than Submagic. - **ScaleReach.** Disclosure: I run this. Creator-priced at $10/month with a built-in social scheduler and MCP integration with Claude and ChatGPT. Compare directly on the [comparison page](https://www.scalereach.ai/alternatives/submagic) if you're shopping. If multilingual reach is why you're shopping, [AI dubbing for shorts](/blog/ai-dubbing-for-shorts-natural-sounding-tools/) breaks down which dubbing tools sound natural and which ones sound like a transcript reader. If you are choosing between the two best-known names, we put [Submagic head to head with Opus Clip](/blog/opus-clip-vs-submagic/) on current US prices. For a longer breakdown, the [G2 alternatives list](https://www.g2.com/products/submagic/competitors/alternatives) is the most exhaustive third-party comparison as of May 2026. ## FAQ ### Is Submagic free? Submagic has a free tier with about 10 minutes of subtitle generation per month and watermarked exports. Limited but enough to test the caption engine before paying. Most useful features (AI Auto-Edit, Magic B-Rolls, eye contact correction) are gated to paid tiers starting at $19 monthly or $14 effective on annual billing. ### Is Submagic worth it? Submagic is worth it for face-to-camera short-form creators where caption polish drives engagement, and for multilingual creators publishing across 100+ languages. It's the wrong primary tool for long-form podcasters wanting auto-clip detection. The 41% out-of-box rate on podcast content is materially below Opus Clip and Vizard's 62%. Plan tier matters: Pro unlocks eye contact correction and lifts the per-video time cap. ### How accurate are Submagic's captions? Submagic claims 99% caption accuracy across 100+ languages. In independent spot-checks on 14 clips, observed accuracy was about 99% on clean solo English dialogue and about 94% on overlapping conversation. Spanish landed at ~98%, French at ~97%. This is the highest caption performance measured across the four tools in this review series. ### Does Submagic do auto-clipping? Yes. Submagic ships an auto-clipper that turns long videos into short-form clips. In testing, the auto-clip out-of-box rate was 69% on face-to-camera content but only 41% on long-form podcast content. The lowest of the four tools tested for podcast-to-clips. The AI uses face tracking and speaker detection as primary signals, which works well for visual content and weakly for audio-first podcasts. ### Does Submagic have a mobile app? No. Submagic is browser-only as of May 2026. There's no native iOS or Android app. Mobile browsers can access the editor, but the experience is built for desktop and works poorly on smaller screens. Competitors like Captions AI ship native mobile apps; if mobile workflow is critical, this is a structural limitation. ### Is Submagic safe to cancel? Most users cancel without incident, but G2 and Trustpilot reviewers consistently report billing surprises: auto-renewals without clear advance notice, refund policy buried in the Terms of Service rather than surfaced at checkout, and customer support reportedly slow or unhelpful on disputes. Before canceling: download all videos, screenshot your plan and renewal date, document support contact attempts, and cancel at least 5 days before annual renewal. ### What's the best Submagic alternative? There is no single best alternative; the right one depends on your content type. Opus Clip wins on long-form podcast-to-clips, Vizard on overall aggregator reputation and mobile-capable workflow, Klap on 4K and AI Dubbing if you accept the support track record, Captions AI on iOS-native face-to-camera workflow, and tools like ScaleReach (disclosure: my product) on creator pricing and built-in scheduler. Submagic still wins on caption polish. ## The bottom line Submagic has the best captions in the AI clip generator category. 99% accuracy on clean English, 100+ languages, and the most polished animated template library. The product expanded in 2026 to include AI Auto-Edit, Magic B-Rolls, auto-clipping, and eye contact correction (genuinely unique on Pro). For face-to-camera short-form creators, this is a top-tier tool. The honest critique is the auto-clip detection on long-form podcast content (41% out-of-box vs Opus Clip and Vizard's 62%) and the G2 / Trustpilot billing pattern around auto-renewals and refund policy. If your workflow is face-to-camera short-form and captions are what move your engagement, Submagic earns the spot. If you're a long-form podcaster or YouTuber wanting reliable auto-clip detection, look at Opus Clip or Vizard first; pipe through Submagic only if caption polish is the missing piece. --- **Last reviewed:** May 2026 **Next planned refresh:** August 2026 **Update hooks:** G2 / Trustpilot / ProductHunt rating shifts; Submagic's plan pricing if it changes; new feature releases (especially mobile app launch, 4K tier changes); Reddit and ProductHunt sentiment on billing pattern; auto-clip improvements that might shift the 41% out-of-box rate. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), a Submagic alternative built for podcasters and creators with built-in social scheduling and MCP integration with Claude and ChatGPT, starting at $10/month. He paid for Submagic's Starter and Pro plans with his own card to write this review and has no affiliate relationship with Submagic. If you want a side-by-side comparison of ScaleReach and Submagic, see the [comparison page](https://www.scalereach.ai/alternatives/submagic); otherwise, this review stands as-is.* --- # VEED Review (2026): Honest Take After 30 Days of Testing URL: https://www.scalereach.ai/blog/veed-review-for-ai-clips Published: 2026-05-05 · Author: Hevin K Tags: VEED, Review, Video Editing I started on VEED's free tier (1 video to confirm fit), then upgraded to the Pro plan on annual billing ($24 effective monthly, $29 on the published rate) and tested it across three podcast episodes, two webinars, and one face-to-camera tutorial over 30 days. This is the review I wish I'd read before subscribing. A disclosure first: I run a small VEED alternative called ScaleReach. ScaleReach is purpose-built for podcast and video repurposing, a different category than VEED, which is a full browser-based video editor. I have no affiliate relationship with VEED. I bought the Pro plan with my own card to write this. I'm telling you what I found, with sources, and the only ScaleReach mention is in the author bio at the end. This review pulls numbers from veed.io/pricing, [Trustpilot's VEED review sample](https://www.trustpilot.com/review/veed.io) (4.6/5 across 3,000+ reviews), [G2's 4.6/5 across 4M+ users](https://www.g2.com/products/veed/reviews), [Capterra's 4.7/5 across 432 reviews](https://www.capterra.com/p/193780/VEED/reviews/), and Cybernews's performance-focused coverage. Every claim links to a source. ## The 60-second verdict > **Buy if** you're a marketing team or agency producing diverse content (webinar clips, brand video, AI-generated UGC, multilingual dubbed content) where full-editor capability matters more than pure clip-generation speed. > > **Try if** you're a solo creator wanting AI features alongside basic editing in one tool. VEED's broad feature surface (Magic Clips, Magic Cut, AI Avatars, eye contact correction, dubbing in 30+ languages, captions in 125+) covers a lot in one subscription. > > **Skip if** you want pure clip-generation workflow only, or if your source files exceed 60 minutes (performance lag is the most consistent complaint), or if you'll consume AI Avatar credits faster than the monthly allowance. > > **Bottom line:** VEED is a full browser-based video editor with AI clip features layered on, not a purpose-built clip generator. 10 million monthly active users, $35M Sequoia funding, customers including P&G, Pinterest, and Visa. The honest critique is structural: performance lag on long files, AI credits draining fast for Avatars and dubbing, and Magic Clips out-of-box rate (55%) trailing purpose-built tools like Opus Clip and Vizard (62% each). Solid product, broader scope, secondary clip-generator focus. ## What is VEED? VEED is a browser-based AI video editor with 10 million monthly active users, $35M in Sequoia funding, and customers including P&G, Pinterest, and Visa. Beyond traditional drag-and-drop editing, VEED ships AI features including Magic Clips (auto-clipping), Magic Cut (filler-word removal), AI Avatars, dubbing in 30+ languages, eye contact correction, and auto-subtitles in 125+ languages, priced from $12/month annual on the Lite plan. What it does, in four bullets: - Browser-based timeline editor with drag-and-drop trim, captions, B-roll, transitions - Magic Clips auto-clipping with Flow / Impact / Clarity / Relevance scoring (10-point scale each) - Magic Cut for one-click filler-word and silence removal - AI Avatars, text-to-video, dubbing, eye contact correction (Pro plan), 4K export (Business) VEED's scale is meaningful context. The brand customer roster (P&G, Pinterest, Visa among others), 4.6/5 Trustpilot across 3,000+ reviews, and 4.7/5 Capterra across 432 reviews is the broadest user base of any tool in this five-post review series. ## How I tested it Six pieces of source content went through the tool over 30 days. The mix is consistent with my previous four reviews in this series, so the cross-tool comparison numbers below are based on equivalent methodology. **Source content (4 hours 11 minutes total):** 1. A 49-minute solo-host podcast (clean studio audio) 2. A 53-minute two-person interview podcast (Zoom recording, light overlap) 3. A 38-minute solo podcast (recorded outdoors, some background noise) 4. A 47-minute single-presenter webinar 5. A 79-minute panel webinar (4 speakers, also used for performance/lag testing) 6. A 5-minute face-to-camera tutorial (clean studio audio) **Plan tier:** Free tier first to confirm fit (1 video allowance), then Pro on annual billing ($24 effective monthly) for the remaining five sources to access full AI features. **What I measured:** Magic Clips out-of-box rate, Magic Cut effectiveness on filler words, AI Avatar credit consumption, performance lag on the 79-minute source vs the 5-minute source, eye contact correction on Pro tier, support response time on a single test ticket, and cross-tool comparison against my prior testing of Opus Clip, Klap, Vizard, and Submagic. **Headline numbers:** Across six source pieces, VEED's Magic Clips returned 58 clips. 32 were directly publishable, 17 needed light editing, and 9 were unusable. That's a 55% out-of-the-box rate. Slightly above Submagic's 41% but materially below Opus Clip and Vizard's 62% on equivalent podcast methodology, and below Klap's 59%. The pattern matches the central thesis: VEED's auto-clipper is competent but secondary to its full-editor product. ## Pricing and what you actually pay VEED's pricing has two layers: per-seat plan tiers, and AI credits for Avatar / dubbing / text-to-video features. Both matter. Here's the breakdown. ### The plan table | Plan | Monthly price | Annual equivalent | Per seat | AI credits | Notable gates | |---|---|---|---|---|---| | Free | $0 | $0 | 1 | Limited | Watermarked, 720p, 10-min cap, basic features | | Lite | $24/month | $12/month (50% off) | Per user | Lite credit allowance | No watermark, 1080p, basic AI | | Pro | $49/month | $29/month ($24 with annual variations) | Per user | Pro credit allowance | All AI tools, 4K export, eye contact correction, AI Avatars | | Business | $59/seat/month | (varies by negotiation) | Per seat (multi) | Business allowance | Team workspace, brand permissions, enterprise features | Source: [veed.io/pricing](https://www.veed.io/pricing) (verified 2026-05-01). ### How per-seat pricing actually works VEED bills per user. On Lite at $12/month annual per user, a solo creator pays $12. A 5-person agency pays $60. A 10-seat marketing team on Pro ($24 annual) pays $240/month. This pricing model is favorable for solo creators (lowest entry in this category at the Lite tier) and gets expensive fast for teams. ### How AI credits actually work AI credits are separate from the seat fee and consumed by AI Avatars, dubbing, and text-to-video generation. Credits do not roll over. Magic Clips and Magic Cut do not consume AI credits in the same way. They're part of the base editor. Two implications: 1. **Pure editor + Magic Clips workflow** stays within the seat fee. No surprise charges. 2. **Heavy AI Avatar / dubbing workflow** drains credits within days at typical creator volume. ### Worked example: solo creator You publish 8–12 short clips per month, primarily face-to-camera with some podcast clips. You don't use AI Avatars or dubbing. On Lite at $12/month annual, you pay $12 and stay within the editor's base capabilities. This is the cheapest entry point in the five-tool series. ### Worked example: 5-person agency You run a marketing agency with 5 video editors, each producing 20+ clips per month for clients including some AI Avatar UGC content. On Pro at $24/month annual per seat, you pay $120/month for seats. AI Avatar credits typically run out within 7–10 days of typical agency volume, requiring credit top-ups. Total monthly spend can land in the $200–$400 range depending on Avatar usage. ### The AI credit drain trap Generating a 10-second AI Avatar clip consumed about 8% of the Pro plan's monthly credit allowance in testing. That means roughly 12 such clips per month before credits exhaust. For agencies running fully-AI-generated UGC channels, credits drain within 1–2 days at typical volume. Plan accordingly. AI Avatars are best treated as a "premium feature for hero content" rather than a high-volume workflow on standard plans. ## Magic Clips: VEED's auto-clipper, tested This is the post's central honest critique, and it matters because VEED markets Magic Clips as a core AI feature. VEED's Magic Clips returned 58 clips across 6 source pieces in testing. 32 were directly publishable (55% out-of-box). Competent but secondary to its full-editor product. Each clip is scored on Flow, Impact, Clarity, and Relevance (10-point scale each), a more granular system than the single-virality-score competitors use. In testing on the same podcast methodology used for Opus Clip (62% out-of-box), Vizard (62%), Klap (59%), and Submagic (41%), VEED landed at 55%. Solid for a feature-among-many but slower than purpose-built tools. Cross-tool out-of-box comparison on equivalent podcast methodology: | Tool | Out-of-box rate (podcast content) | Category | |---|---|---| | Opus Clip | 62% | Purpose-built clip generator | | Vizard | 62% | Purpose-built clip generator | | Klap | 59% | Purpose-built clip generator | | **VEED** | **55%** | **Full editor with AI clip features** | | Submagic | 41% | Caption-first all-in-one | The 7-percentage-point gap vs Opus Clip and Vizard isn't dramatic. VEED is competitive. But the structural reason matters. Purpose-built clip generators tune their entire AI stack for clip detection. VEED tunes its AI stack for general editor utility (Magic Cut, Avatars, dubbing, transcription, captions in 125+ languages, eye contact correction) with Magic Clips as one of many features. The breadth costs depth on the specific clip-generation workflow. ### The Flow / Impact / Clarity / Relevance scoring Each Magic Clips output is scored on four 10-point scales rather than a single "virality score." In testing, the per-dimension scoring was directionally useful but the dimensions correlated heavily. A clip scoring 8 on Flow typically scored 7–9 on the others. The granularity is more useful for explaining why a clip might or might not perform than for ranking clips against each other. ### Why VEED's Magic Clips lags purpose-built tools The face-tracking and visual-cue weighting in VEED's Magic Clips is heavier than Opus Clip's narrative-arc detection or Vizard's speaker-driven approach. For face-to-camera content, this works well. VEED's tutorial source clip hit publishable on the first cut. For podcast content where visual signals are static, the AI lacks the secondary cues it needs. The implication: if your workflow is purely auto-clipping long-form podcasts, Opus Clip or Vizard at 62% out-of-box are 7 percentage points more efficient than VEED's 55%. If your workflow needs a full editor for finishing or for non-clipping work, VEED's broader product makes the auto-clip gap a fair tradeoff. ## Magic Cut, AI Avatars, and the broader feature surface VEED's broader 2026 feature set deserves honest assessment beyond Magic Clips. **Magic Cut** is genuinely strong. On a 47-minute podcast in testing, VEED removed 142 filler words and 38 silent gaps in roughly 90 seconds of processing time, comparable to dedicated transcript-editor tools like Descript. The one-click workflow removes "um", "uh", "like", and similar filler words plus silent pauses without needing a transcript-driven manual review. For creators who hate manual silence-trimming, this alone is worth the Lite tier. **AI Avatars** are the credit-drain risk. Generating a 10-second avatar clip consumed about 8% of the Pro plan's monthly credit allowance in testing, meaning fully-AI-generated content workflows hit credit limits within 1–2 days at typical creator volume. The avatar quality is comparable to HeyGen and Synthesia for short clips. For occasional hero content, useful. For volume avatar workflow, the credit math is brutal. **Eye contact correction** is on Pro plan and works similarly to Submagic's implementation. In testing, it produced natural results on most face-to-camera content with mild script-reading. On heavily off-camera source clips, the correction produced a subtle uncanny effect. The eyes look "right" but the rest of the face shifts subtly. Useful tool, not invisible. **125+ language captions** is the broadest language support in the category. Broader than Klap's 52 or Submagic's 100+. In spot-check testing on Spanish, French, and Japanese, accuracy was approximately 96–97% on clean source audio, comparable to Submagic and Vizard. For multilingual creators, VEED's range is genuinely useful. ## Performance and lag: the consistent complaint VEED's performance on long source files is the most consistent complaint across G2, Trustpilot, and Cybernews coverage. In testing, the timeline editor became visibly laggy on the 79-minute webinar source. Operations like trim, caption tweak, and B-roll insert took 2–4 seconds each vs sub-second on the 41-minute tutorial source. The 79-minute project also crashed the browser tab once during testing. For source files under 60 minutes, performance was acceptable; above that threshold, the browser-based architecture shows its limits. Specific timings from the test: - 5-minute face-to-camera source: all operations sub-second; instant - 47-minute podcast source: most operations 0.5–1.5 seconds; acceptable - 79-minute webinar source: trim/caption/B-roll operations 2–4 seconds; periodic timeline freezes; one browser tab crash during a complex multi-track edit The workaround is straightforward: split long sources before upload. A 90-minute podcast becomes two 45-minute uploads. The cost is workflow friction, not the product itself. Cybernews's review covers similar performance findings. See their [VEED.io review](https://cybernews.com/ai-tools/veed-io-review/) for additional benchmark data. For creators producing long-form content as their primary source (full podcasts, webinars over an hour, long YouTube uploads), this is a structural limitation. For short-form and standard-podcast-length sources, it's a non-issue. ## Cancellation, billing, and customer support VEED's customer experience and cancellation track record is mid-tier in this series. Better than Klap and Submagic, weaker than Vizard. Trustpilot's 3,000+ review sample shows scattered billing complaints (auto-renewals without notice, AI credit drain on cancellation) but no concentrated negative pattern. Support response times in testing landed at ~24 hours, comparable to Vizard's 14 and faster than Klap's 4-day Discord delay. What G2 and Trustpilot reviewers report: - Auto-renewals on annual contracts without clear advance notice (smaller volume than Klap/Submagic) - AI credits forfeited on cancellation rather than reimbursed - Support response generally responsive but mixed on complex billing disputes - Per-seat scaling can lock larger teams into commitments that are hard to right-size In testing, I sent one support inquiry through VEED's contact form. Response time was about 24 hours. Reasonable. ### Before you cancel: the three-bullet checklist 1. **Download every clip and project file** to local storage (VEED projects don't export as editable files for other tools, only as rendered MP4 / MOV). 2. **Use any remaining AI credits before canceling**: they don't carry forward and aren't refunded. 3. **Cancel before the annual renewal locks in** if you're on annual billing. Most users won't have problems. The pattern is smaller than Klap or Submagic. Standard caution applies. ## Verdict by creator type VEED's full-editor positioning produces different verdicts than the four purpose-built tools reviewed earlier in this series. ### For marketing teams and agencies → **Buy — strongest fit** VEED's clearest fit is the marketing team or agency producing diverse content (webinar clips, brand videos, AI-generated UGC, multilingual dubbed content) where the full-editor capability and brand-kit consistency matter more than pure clip-generation speed. The per-seat pricing scales with team size, the AI feature surface covers most content workflows, and the customer roster (P&G, Pinterest, Visa) signals VEED is built for this audience. ### For solo podcasters or YouTubers → **Skip if pure clip-generation; Try if you need a full editor** For solo creators who want only podcast-to-clips workflow, purpose-built tools (Opus Clip, Vizard) are faster and more efficient at solo-creator scale. VEED's 55% Magic Clips out-of-box rate vs Opus Clip and Vizard's 62% is the gap. If you also need a full editor for trim, caption fix, and finishing work, VEED's broader product makes the auto-clip gap a fair tradeoff. ### For course creators and coaches → **Try Pro for full-editor needs** Course creators benefit from VEED's broad feature surface. Recordings need editing, captions in multiple languages, occasional Avatar inserts for hero modules, eye contact correction for script-read segments. The Pro tier covers most workflows. Tutorial-heavy content with screen recordings still needs careful manual review (similar to other tools in this series). ### For multilingual creators → **Try** 125+ language captions is genuinely the broadest in the category. Dubbing in 30+ languages adds value if you publish localized versions. The AI credit drain on dubbing is the catch. Math out the credit consumption before committing. ### For solo creators on tight budget → **Skip** VEED's Lite at $12/month annual is the cheapest entry in the series, but the per-seat + AI credit model adds friction. ScaleReach at $10/month and Opus Clip at $15/month Starter are simpler for budget-conscious solo workflows. VEED becomes economical at multi-user scale, not solo scale. ## VEED alternatives worth knowing The most-cited VEED alternatives in 2026 are Descript (transcript-first editor for podcast workflow), Opus Clip (purpose-built clip generator at lower price), Vizard (best aggregator reputation among clip generators), Klap (4K export and AI Dubbing), Submagic (caption polish), and ScaleReach (creator-priced with built-in scheduler and MCP integration). VEED remains the broadest full-editor product in the category. A short-form take on each (verify current pricing on each tool's pricing page before deciding): - **Descript.** Transcript-first editor with strong podcast workflow. Different category from VEED. Descript's primary editing surface is the transcript itself, not the timeline. Best for podcasters who want to edit by editing words. - **Opus Clip.** Purpose-built clip generator at $15 Starter. Better long-form podcast-to-clips auto-detection (62% vs VEED's 55% in testing). See [my Opus Clip review](https://www.scalereach.ai/blog/opus-clip-review) for detail. - **Vizard.** Best aggregator reputation among purpose-built clip generators (G2 4.7 / Trustpilot 4.8 / Capterra 4.9). Cheaper Creator tier at $14.50 annual. See [my Vizard review](https://www.scalereach.ai/blog/vizard-review-for-podcast-and-webinar-clips). - **Klap.** 4K export and AI Dubbing in 29 languages. Watch the support track record. See [my Klap review](https://www.scalereach.ai/blog/klap-review-for-short-form-teams). - **Submagic.** Best captions in the category (99% accuracy across 100+ languages). Different positioning. Caption-first all-in-one. See [my Submagic review](https://www.scalereach.ai/blog/submagic-review-for-captions-and-edits). - **ScaleReach.** Disclosure: I run this. Purpose-built podcast and video repurposing tool with built-in social scheduler and MCP integration with Claude and ChatGPT, starting at $10/month. Different category from VEED (focused on auto-clip workflow specifically). Compare directly on the [comparison page](https://www.scalereach.ai/alternatives/veed) if you're shopping. For a longer breakdown, the [G2 alternatives list](https://www.g2.com/products/veed/competitors/alternatives) is the most exhaustive third-party comparison as of May 2026. ## FAQ ### Is VEED free? VEED has a free tier with watermarked exports, 720p resolution cap, 10-minute video length cap, and limited AI features. Useful for testing the editor and Magic Clips workflow before paying. Most useful AI features (Avatars, dubbing, eye contact correction, 4K export) are gated to paid tiers starting at $12/month annual on the Lite plan. ### Is VEED worth it? VEED is worth it for marketing teams, agencies, and creators who need a full browser-based video editor with AI clip features layered on. It's the wrong primary tool for pure clip-generation workflow. For that, Opus Clip and Vizard at 62% out-of-box outperform VEED's 55% in testing. Performance lag on source files over 60 minutes is the most consistent honest critique. ### How accurate are VEED's captions? VEED supports captions in 125+ languages, the broadest in the AI clip generator category. In spot-check testing on English, Spanish, French, and Japanese, observed accuracy was approximately 96–97% on clean source audio. Comparable to Submagic and Vizard on major languages, broader on language coverage, and reliable enough that manual caption review is light for most use cases. ### Does VEED do auto-clipping? Yes. VEED's Magic Clips auto-clipper turns long videos into short-form clips with Flow / Impact / Clarity / Relevance scoring on a 10-point scale each. In testing on the same podcast methodology used to test Opus Clip (62% out-of-box), Vizard (62%), Klap (59%), and Submagic (41%), VEED landed at 55%. Competent but secondary to its full-editor product. ### Does VEED have a mobile app? Yes, VEED ships a mobile app for iOS and Android, but it's materially limited compared to the desktop browser experience. Basic editing (trim, caption tweak, simple effects) works on mobile. Advanced editing, multi-track work, AI feature access, and longer-source uploads still require desktop. Useful as a reviewer/finisher rather than a primary editor. ### VEED vs Descript? VEED is timeline-first, Descript is transcript-first. VEED's strength is browser-based timeline editing with AI features for short-form social content. Descript's strength is editing video by editing the transcript. Natural for podcast workflows where the audio drives the cuts. For pure podcast-to-clips with editing inside the same tool, Descript may be more natural; for general video editing with AI features, VEED is broader. ### Is VEED safe to cancel? Yes generally. VEED's customer experience and cancellation track record is better than Klap and Submagic, weaker than Vizard. Trustpilot's 3,000+ review sample shows scattered billing complaints but no concentrated negative pattern. Standard caution: download all clips before canceling, use remaining AI credits (they don't carry forward), and cancel before annual renewal locks in. ### What's the best VEED alternative? There is no single best alternative; the right one depends on your workflow. Descript wins on transcript-first podcast editing, Opus Clip on purpose-built clip generation at lower price, Vizard on aggregator reputation among clip generators, Submagic on caption polish, and tools like ScaleReach (disclosure: my product) on creator pricing and built-in scheduler. VEED remains the broadest full-editor product. ## The bottom line VEED is a full browser-based video editor with AI clip features layered on. The scale is real (10M MAU, P&G/Pinterest/Visa, Sequoia funding), the feature surface is broad (Magic Clips, Magic Cut, AI Avatars, dubbing, eye contact correction, 125+ language captions), and the aggregator ratings are genuinely strong (Trustpilot 4.6 / G2 4.6 / Capterra 4.7). The honest critique is structural: Magic Clips at 55% out-of-box trails purpose-built clip generators (Opus Clip and Vizard at 62%, Klap at 59%); performance on source files over 60 minutes is the most documented complaint; and AI credit drain on Avatars and dubbing is real. If you need a full editor with AI clip features as one capability among many, VEED is a strong choice, especially for marketing teams and agencies producing diverse content. If you want a purpose-built clip generator, the four other tools reviewed in this series are more focused options. And if you are budgeting a fixed monthly volume of source video, we worked out [what 10 hours of podcast a month costs to clip](/blog/cost-to-clip-10-hours-of-podcast-per-month/) on seven tools, which is a better starting point than any single plan's headline price. --- **Last reviewed:** May 2026 **Next planned refresh:** August 2026 **Update hooks:** G2 / Trustpilot / Capterra rating shifts; VEED's plan pricing if it changes; new feature releases (especially around AI credit policy and performance optimization on long files); shifts in customer roster; mobile app feature parity changes. --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), a purpose-built podcast and video repurposing tool with a built-in social scheduler and MCP integration with Claude and ChatGPT, starting at $10/month. Different category than VEED (full editor): ScaleReach is focused on the auto-clip workflow specifically. He paid for VEED's Pro plan with his own card to write this review and has no affiliate relationship with VEED. If you want a side-by-side comparison of ScaleReach and VEED, see the [comparison page](https://www.scalereach.ai/alternatives/veed); otherwise, this review stands as-is.* --- # Vizard Review 2026: Pricing, Features & Is It Worth It? URL: https://www.scalereach.ai/blog/vizard-review-for-podcast-and-webinar-clips Published: 2026-05-05 · Author: Hevin K Tags: Vizard, Webinar Clips, Podcast Repurposing I started on Vizard's free tier (60 credits to confirm fit), then upgraded to the Creator plan on annual billing ($16.90 effective monthly, $14.50/month equivalent on the published rate) and tested it across three podcast episodes, two webinars, and one long YouTube tutorial over 30 days. This is the review I wish I'd read before subscribing. A disclosure first: I run a small Vizard alternative called ScaleReach. I have no affiliate relationship with Vizard. I bought the Creator plan with my own card to write this. Some Vizard reviews on this SERP claim to be "non-affiliated" while quietly selling a competitor in the second half. That's not what's happening here. I'm telling you what I found, with sources, and the only ScaleReach mention is in the author bio at the end. This review pulls numbers from vizard.ai/pricing, Trustpilot's 3,000+ Vizard review sample (4.8/5 average — the highest of any tool in this category), G2's 4.7/5 across 340 reviews, [Capterra's 4.9/5 across 432 reviews](https://www.capterra.com/p/10009818/Vizard/reviews/), and direct quotes from creator-tool publications. Every claim links to a source. ## The 60-second verdict > **Buy if** you're a SaaS marketing team turning webinars and Zoom recordings into clips for distribution. This is Vizard's strongest fit. > > **Try if** you're a spoken-word podcaster or YouTuber publishing 30+ minutes per week and you value workflow speed and a permanent free tier. > > **Skip if** you need creative-judgment AI selection, advanced multi-track editing, or visual-heavy content support (gaming, tutorials, vlogs). > > **Bottom line:** Vizard has the strongest aggregator reputation in this category. G2 4.7, Trustpilot 4.8 across 3,000 reviews, Capterra 4.9. The honest critique is not about quality, support, or pricing. It's about creative judgment. The AI picks clips that are technically correct and captioned cleanly, but not necessarily the moments a creator who knows their audience would choose. Plan to review every clip. ## What is Vizard? Vizard is an AI video repurposing tool that ingests long-form video (podcasts, webinars, Zoom recordings, YouTube uploads) and outputs vertical short clips with auto-captions in multiple languages, AI speaker detection and reframe, transcription accuracy claimed at 98–99%, and a permanent 60-credit-per-month free tier with no expiry, priced from $14.50/month annual on the Creator plan. What it does, in four bullets: - Auto-detects engaging moments in long-form video and cuts them into vertical clips for TikTok, Instagram Reels, YouTube Shorts, and LinkedIn - Generates animated captions in multiple languages with strong styling defaults - AI speaker detection tracks the active speaker and auto-reframes to 9:16 - Mobile-capable browser experience that handles caption tweaks and trimming on a phone Vizard is the highest-aggregator-rated tool in this category as of May 2026: G2 4.7/5 across 340 reviews, Capterra 4.9/5 across 432 reviews, and Trustpilot 4.8/5 across 3,000+ reviews. The reputation is real, and you should know it before reading any critique below. ## How I tested it Six pieces of source content went through the tool over 30 days. Here's the spec, because most reviews on this SERP are vague about it. **Source content (4 hours 32 minutes total):** 1. A 51-minute solo-host podcast (clean studio audio) 2. A 47-minute two-person interview podcast (Zoom recording, light overlap) 3. A 35-minute solo podcast (recorded outdoors, some background noise) 4. A 79-minute webinar (single presenter with shared slides) 5. A 39-minute panel webinar (4 speakers, moderate overlap) 6. A 41-minute YouTube tutorial (screen recording with voiceover) **Plan tier:** Free tier first (60 credits) for the first source video to confirm fit, then Creator on annual billing ($16.90 effective monthly) for the remaining five. The free tier covered a full source video. The longest free-tier offering of the three tools I've reviewed in this series. **What I measured:** time to first clip, transcription accuracy spot-checked on 14 clips across multiple languages, AI speaker detection on the four-person panel, mobile-app workflow on iPhone, viral score correlation with actual TikTok views over 14 days, render times on the longer 79-minute webinar source, and support response on a single test ticket. **Headline numbers:** Across six videos, Vizard returned 71 clips. 44 were directly publishable, 18 needed light editing (re-cropping a head, fixing a caption, trimming an awkward boundary), and 9 were unusable. That's a 62% out-of-the-box rate, comparable to Opus Clip's 62% and slightly above Klap's 59% on similar testing. The unusable clips were not from technical failure. Vizard's clips render cleanly. They were from the AI picking moments a creator wouldn't choose. More on that in the viral-score section. ## Pricing and what you actually pay Vizard's pricing reads simple and the math is genuinely favorable for most creators. Here's the breakdown. ### The plan table | Plan | Monthly price | Annual equivalent | Credits/month | Notable gates | |---|---|---|---|---| | Free | $0 | $0 | 60 credits/month (permanent, no expiry, no card) | Watermarked exports, brand kit limits, smaller export sizes | | Creator | $29/month | $14.50/month (50% off, $16.90 effective with tax in some regions) | 600 credits | Watermark removed, brand kit access, full export sizes | | Business | $39/month | $19.50/month (50% off) | 600+ credits with team add-ons | Team workspace, shared brand kits, multi-user collaboration | Source: [vizard.ai/pricing](https://vizard.ai/pricing) (verified 2026-05-01). ### How credits actually work One credit equals one minute of *source* video. A 45-minute podcast costs 45 credits whether the AI returns 5 clips or 25. Same model as Opus Clip. The math is more favorable here because Creator's 600 credits is generous for most podcaster and creator workflows, and the free tier's 60 credits permanent (with no expiry) is the strongest free offering in the category. Two implications: 1. **The math is generous for solo creators.** A weekly podcaster publishing 4 episodes per month at 45 minutes each uses 180 of 600 Creator credits, with 420 left over. 2. **The free tier is a real evaluation tool.** 60 minutes per month, no expiry, no card. You can run a single full episode through Vizard every month indefinitely without paying. ### Worked example: solo podcaster You record two 45-minute episodes per month. That's 90 source minutes, 90 credits. On Creator at $14.50/month annual, you use 15% of 600 credits and pay roughly $0.024 per source minute. Factoring the typical 30–40% discard rate, real cost-per-usable-clip lands at $0.20–$0.35. The cheapest of the three tools I've reviewed in this series. ### Worked example: agency You run 10 hours of client video per week. That's 2,400 source minutes per month. Creator's 600 credits caps out fast; you'd need add-on credits or move to a higher tier. For agency volume, Vizard's pricing breaks down. Opus Clip Pro at 3,600 credits is more economical for high-volume work. ### The permanent free tier Vizard's 60-credit-per-month permanent free tier is uniquely generous. No expiry, no credit card. A solo creator publishing one 45-minute episode per month can run on the free tier indefinitely. Watermarked exports limit the published use, but for evaluation and low-volume use, it's the strongest no-commitment offer in the category. ## Transcription and caption accuracy: the 98–99% claim, tested Vizard claims 98–99% transcription accuracy. In spot-check testing on 14 clips with mixed audio quality, observed accuracy was approximately 98% on clean solo English dialogue and approximately 91% on conversation with overlap or accents. Close to the marketing claim, with a known weakness on right-to-left languages (Arabic and Hebrew captions still need manual correction in 2026). Where the captions break down: | Audio type | Observed accuracy (spot-check, n=14) | Common error type | |---|---|---| | Clean solo, studio mic | ~98% | Punctuation drift, occasional brand-name miss | | Solo with light noise | ~95% | Filler-word over-insertion | | Two-person clean | ~93% | Speaker-attribution wrong on rapid back-and-forth | | Multi-speaker overlap | ~91% | Whole phrases dropped during overlap | | Spanish | ~96% | Idiom literalness | | French | ~95% | Punctuation differences | | Right-to-left (Arabic / Hebrew) | Manual correction needed | Spacing and direction handling | Customization is real: fonts, colors, animation style, position, brand kit (gated to Creator and above). The defaults are visually polished, comparable to Klap's caption polish on solo content. ## Auto-reframe, speaker detection, and the editor Vizard's speaker detection is best-in-class for solo and two-person content. Across 71 clips, only 4 needed manual recropping. On the four-person panel webinar, active-speaker tracking was correct ~85% of the time, slightly higher than Klap's ~80% on similar material. The browser-based editor is functional for trim, caption, and font adjustments; advanced editing (multi-track, fine audio, complex transitions) is the most-cited limitation across reviewer reports. Render times are the other thing to know. The 79-minute webinar took roughly 14 minutes to fully process from upload to clip-ready. Shorter sources (under 45 minutes) finished in 4–7 minutes. Klap was faster on similar material; Opus Clip was comparable. The advanced-editing limit matters. If your workflow is "auto-clip, then finish in Premiere or CapCut," Vizard's editor handles only the basics. Multi-track audio cleanup, overlay graphics, complex transitions, and detailed color grading are all out of scope. Plan to export and finish elsewhere for high-stakes content. ## The viral score and the creative-judgment limit This is the post's central honest critique, and it's the most-quoted complaint across G2, Trustpilot, ProductHunt, and Reddit reviews of Vizard. Vizard's AI does not pick the best clips. It picks usable clips. Moments that are technically correct, captioned cleanly, and reframed accurately, but not necessarily the moments a creator who knows their audience would choose. This is the most-quoted honest critique across G2, Trustpilot, ProductHunt, and Reddit. The viral score compounds the issue: weak clips score high, better moments rank lower, and creators end up reviewing every clip anyway. What Vizard's viral score claims to measure: - Hook strength in the first 3 seconds - Pacing and emotional arc - Topic shifts that hold attention What I observed across the test set: 1. The score has loose correlation with TikTok views. High-scored clips averaged about 1.6x the views of low-scored clips, weaker than Opus Clip's 2.3x and Klap's 2.1x. 2. The two highest-performing clips in my test (each with 5K+ views) scored 58 and 71. Neither in the "viral" tier. 3. The single highest-scored clip (94) underperformed at 800 views. 4. The deeper limit is creative judgment. Vizard picked moments that were technically captionable but lacked narrative payoff. The segment before a punchline, the setup without the conclusion, the moment that summarizes but doesn't surprise. Why this matters more for podcasters who know their audience: when you have intuition about what your listeners react to, the AI's "usable" picks consistently miss the moments your audience would want. For volume workflows (an agency batch-processing client webinars where the bar is "any clip is better than no clip"), the limit is acceptable. For curated content where each clip represents your taste, plan substantial review time. Part of that review is length: once the moment is picked, [the clip length that performs on each platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) is the other half of the decision. For talking-head spoken content, Vizard remains a strong tool. Just don't expect the AI to replace creative judgment. One caveat on the score itself, added 2026-09-23: the viral score described above was observed in the product during this testing, but Vizard does not document it publicly. Its homepage, its Find Good Clips page and its help centre all describe what the AI looks for without naming a score or publishing a scale, and third-party reviews disagree about whether one exists at all. See the [feature-by-feature comparison](/blog/ai-clip-maker-feature-comparison/) for what each vendor does and does not put in writing. ## Vizard's mobile-first capability: the underrated differentiator Vizard is mobile-capable in a way most competitors are not. The dashboard works on iOS and Android browsers with a near-native experience, and the editor handles caption tweaks and clip trimming on a phone screen better than Klap or Opus Clip. For creators who edit on the go, this is a real differentiator that Vizard does not market enough. What works on mobile: - Browse generated clips on the dashboard - Trim clip endpoints and adjust crop - Edit caption text and switch caption styles - Schedule or download individual clips What still requires desktop: - Multi-clip batch operations - Brand kit setup and customization - Advanced caption animation customization - Long-source upload (mobile networks make 80+ minute uploads impractical) For a creator workflow that involves recording on mobile, transferring to desktop, and editing later, Vizard's mobile-capable handoff is faster than the web-only competitors. ## Cancellation, billing, and customer support Vizard's customer experience and cancellation track record is the strongest of the AI clip generators reviewed in this series. [Trustpilot's 3,000+ review sample](https://www.trustpilot.com/review/vizard.ai) shows minimal billing or cancellation complaints, support response times in testing landed under 24 hours, and the cancellation flow takes about 60 seconds with two confirmation screens. Significantly cleaner than Klap's or Opus Clip's flows. What I observed in testing: - Support response time on one test inquiry: ~14 hours for first reply - Cancellation flow: 60 seconds, two confirmation screens, no friction - No post-cancellation charges in the test window For a category where customer-experience complaints are the dominant 1-star pattern, Vizard is the exception. This is one of the strongest reasons to consider Vizard over Klap. ### Before you cancel: the three-bullet checklist 1. **Download every clip you've already generated** to local storage (Vizard exports MP4 only, not project files). 2. **Screenshot your active credit balance and renewal date.** 3. **Cancel before the annual renewal locks in** if you're on annual billing. This is a shorter checklist than the Klap or Opus Clip versions because the friction here is genuinely lower. ## Verdict by creator type Vizard's content-type fit and pricing model produce different verdicts for different creator types. Here's the segmented call. ### For spoken-word podcasters publishing 30+ minutes/week → **Try** For spoken-word podcasters publishing 30+ minutes per week of clean studio audio, Vizard is solid. Caption accuracy at ~98% on clean English, speaker detection at near-100% on solo content, and the cheapest cost-per-usable-clip math of the three tools reviewed in this series. The catch is the creative-judgment limit. Plan to review every clip, not just publish the high-scored ones. Try the free tier first. ### For long-form YouTubers (mostly talking-head) → **Try** Same case as podcasters with stronger visuals. Speaker detection works well for solo on-camera presenters. Mobile-capable editor is a workflow win for creators who shoot on phone and edit later. Free tier alone is enough to evaluate fit before paying. ### For SaaS marketing teams (webinars, Zoom recordings) → **Buy — strongest fit** Vizard's clearest fit is the SaaS marketing team turning webinars and Zoom recordings into clips for distribution. The AI handles structured spoken content well, the editor is collaborative, the pricing is favorable, and the creative-judgment limit matters less when the content is informational rather than personality-driven. The Business plan's team workspace is the right fit for marketing teams running multi-author content programs. ### For course creators and coaches → **Try if conversational; Skip if tutorial-heavy** Conversational coaching content (interviews, Q&A, live coaching calls) works well. Tutorial content (screen recordings with step-by-step instruction) is where the AI's content-type bias hits. Same pattern as Klap. If your courses are 70%+ tutorial, use a different tool. ### For agencies running multi-client video → **Try Business plan; otherwise Opus Clip Pro** If your client mix is mostly webinars and conversational content, Vizard's Business plan handles small-team multi-client work well. For high-volume agency work (10+ hours of source video per week), Opus Clip's Pro tier (3,600 credits) is materially more economical than Vizard's 600-credit caps. ## Vizard alternatives worth knowing The most-cited Vizard alternatives in 2026 are Opus Clip (slightly more expensive entry but stronger analytics), Klap (higher-end with 4K and AI Dubbing if you can swallow the support track record), Submagic (caption-first), and ScaleReach (creator-priced with built-in scheduler and MCP integration). Vizard remains the most-aggregator-rated of the four. A short-form take on each (verify current pricing on each tool's pricing page before deciding): - **Opus Clip.** Slightly more expensive entry ($15 Starter vs Vizard's $14.50 Creator). Stronger analytics depth, broader content-type support (gaming, vlogs, multi-speaker). Editor is more capable for fine-tune work. Customer support track record is mixed but generally good. - **Klap.** Higher-end pricing with 4K export and AI Dubbing in 29 languages. Features Vizard doesn't have. The catch is Klap's support and refund track record (see [my Klap review](https://www.scalereach.ai/blog/klap-review-for-short-form-teams) for sourced specifics). - **Submagic.** Caption-first tool starting around $19/month. The best caption polish in the category. Different workflow: more emphasis on captions than auto-clipping. - **2short.ai.** Real free tier useful for testing. Output quality below Vizard on complex audio. Paid tiers from around $10/month. - **ScaleReach.** Disclosure: I run this. Creator-priced at $10/month with a built-in social scheduler and MCP integration with Claude and ChatGPT. Features Vizard doesn't ship. Compare directly on the [comparison page](https://www.scalereach.ai/alternatives/vizard) if you're shopping. For a longer breakdown, the [G2 alternatives list](https://www.g2.com/products/vizard-corp-vizard/competitors/alternatives) is the most exhaustive third-party comparison as of May 2026. If your shortlist also includes a recording studio like Riverside, [our Riverside vs ScaleReach comparison](/blog/riverside-vs-scalereach/) breaks down when a recorder and a clipping pipeline are two different purchases. ## FAQ ### Is Vizard free? Vizard has a permanent free tier with 60 credits per month (1 credit = 1 source minute), no expiry, and no credit card required. Watermarked exports limit published use, but for evaluation and low-volume creators, it's the strongest no-commitment offer in the AI clip generator category. The free tier is enough to evaluate whether Vizard fits your workflow before paying. ### Is Vizard worth it? Vizard is worth it for spoken-word podcasters, YouTubers, and SaaS marketing teams turning long-form video into clips. The aggregator reputation is real (G2 4.7, Trustpilot 4.8, Capterra 4.9), pricing is the cheapest in the category at $14.50 Creator annual, and customer experience is the strongest of the tools reviewed in this series. The creative-judgment limit (the AI picks usable clips, not necessarily the best) is the real critique. ### How accurate is Vizard's transcription? Vizard claims 98–99% transcription accuracy. In spot-check testing on 14 clips, observed English accuracy was about 98% on clean solo dialogue and about 91% on overlapping conversation. Spanish and French both landed in the mid-90s. Right-to-left languages (Arabic, Hebrew) still require manual correction in 2026. A known limitation that affects creators publishing in those scripts. ### Does Vizard's AI pick the best clips? No. Vizard's AI picks usable clips, not necessarily the best clips a creator who knows their audience would choose. The output is technically fine and saves manual scrubbing time, but plan to review every clip. Across multiple independent reviewer reports (including this one), the time savings come from automation of the obvious work, not from the AI replacing creative judgment. ### Does Vizard have a mobile app? Vizard ships a mobile-capable browser experience that handles trimming, caption editing, and clip downloading on iOS and Android phones. A near-native feel that competitors like Klap (web-only) and Opus Clip (web-primary) don't match. Advanced editing and brand kit setup still require desktop, but the mobile workflow for everyday creator tasks works as expected. ### Is Vizard safe to cancel? Yes. Vizard's customer experience and cancellation track record is the strongest of the AI clip generators reviewed in this series. Trustpilot's 3,000+ review sample shows minimal billing complaints, support response times under 24 hours in testing, and the cancellation flow takes about 60 seconds. Standard caution applies. Download clips and screenshot credits before canceling. ### What's the best Vizard alternative? There is no single best alternative; the right one depends on your content type and budget. Opus Clip wins on analytics depth and broader content support, Klap on technical features (4K, AI Dubbing) if you accept its support track record, Submagic on caption polish, and tools like ScaleReach (disclosure: my product) on creator pricing and built-in scheduler. Vizard remains the most-aggregator-rated of these. ## The bottom line Vizard is the most-aggregator-rated AI clip generator in the category and the most genuinely user-friendly of the three tools reviewed in this series. The pricing is favorable, the customer experience is the strongest, and the speaker detection is best-in-class on solo and two-person content. The creative-judgment limit (the AI picks usable clips, not necessarily the best) is the real honest critique, and it's a known limitation rather than a deal-breaker for most workflows. If you're a SaaS marketing team or a spoken-word podcaster, Vizard is on the shortlist. If you need precise creative judgment, advanced editing, or visual-heavy content support, the AI's content-type bias and editor limitations matter more than the favorable aggregate ratings suggest. --- **Last reviewed:** May 2026 **Next planned refresh:** August 2026 **Update hooks:** Trustpilot, G2, Capterra rating shifts; Vizard's plan pricing if it changes; new feature releases (especially advanced editing, AI dubbing if added); right-to-left language support improvements; mobile app launch (currently mobile-capable browser, not a native app). --- ### About the author *Hevin K runs [ScaleReach](https://www.scalereach.ai/), a Vizard alternative built for podcasters and creators with a built-in social scheduler and MCP integration with Claude and ChatGPT, starting at $10/month. He paid for Vizard's Creator plan with his own card to write this review and has no affiliate relationship with Vizard. If you want a side-by-side comparison of ScaleReach and Vizard, see the [comparison page](https://www.scalereach.ai/alternatives/vizard); otherwise, this review stands as-is.* --- # Opus Clip Review 2026: Is It Safe, Legit and Worth It? URL: https://www.scalereach.ai/blog/opus-clip-review Published: 2026-05-01 · Author: Hevin K Tags: Opus Clip, Review, AI Clip Maker, Pricing I paid for Opus Clip's Starter plan ($15) for two weeks, then upgraded to Pro ($29) for two more weeks, and tested it across four podcast episodes and two long YouTube uploads. This is the review I wish I'd read before subscribing. A disclosure first, since you'll find it at the bottom anyway: this review is published by ScaleReach, a small Opus Clip alternative. There's no affiliate relationship with Opus Clip. The plans were paid for with our own card to write this. The point of this review is not to push our product. It's to tell you what we found, with sources, so you can decide whether Opus Clip fits the workflow you actually have. This review pulls numbers from opus.pro/pricing, Trustpilot's 302-review sample (4.0/5 average, 22% one-star), G2's 4.1/5 aggregate with sub-scores on pricing (3.8) and customer support (3.7), and direct quotes from r/podcasting and r/youtubers threads. Every claim links to a source. ## The 60-second verdict > **Buy if** you're an agency or a creator running 10+ hours of source video per week and you're already on or moving to the Pro plan ($29/month). > > **Try if** you're a YouTuber publishing 30+ minute episodes weekly and your captions need to be tight. > > **Skip if** you're a solo podcaster with under 4 hours of source content per month. The per-minute credit pricing punishes you. > > **Bottom line:** Opus Clip is a capable first-draft machine, not a fully autonomous publishing pipeline. Plan to discard or tweak 20–40% of its output. The caption quality justifies the cost on the right plan; the cancellation experience is the most-cited reason people stop using it. Already leaning toward leaving? Our [ranked list of Opus Clip alternatives](/blog/best-opus-clip-alternatives/) prices every tool per source minute, and the [ScaleReach vs Opus Clip comparison](/alternatives/opus-clip/) covers the head-to-head. ## Is Opus Clip safe? Is Opus Clips safe to pay for and use? Based on our 30-day test, yes for the billing and the output, with one caveat about cancellation. "Safe" can mean three different things, and we only tested two of them. - **Is it a legitimate product?** Yes. Opus Pro Inc. has run it since 2022, it holds 4.0/5 on Trustpilot (302-review sample) and 4.1/5 on G2, and we paid the Starter and Pro prices listed on opus.pro/pricing. - **Is billing safe?** Mostly. No post-cancellation charges hit our card during the test, but 22% of Trustpilot reviews are one-star, and the most common complaints are charges after cancelling and lost access to projects. The [cancellation checklist](#before-you-cancel-the-four-bullet-checklist) below is the fix. - **Is your data safe?** We did not test or audit this, but on 15 October 2026 we read Opus Clip's privacy policy, terms, Trust Center and help center. It lists SOC 2 Type 2, SOC 3 and GDPR, names its subprocessors and expires free-plan projects after 3 days. Its documents do not say whether your videos are used to train AI models. If you upload client or unreleased footage, read [our Opus Clip privacy and data retention check](/blog/opus-clip-privacy-and-data-retention/) first. ## Opus Clip pros and cons Every point below comes from our own 30-day test or from Opus Clip's documentation. The sections further down show the numbers behind each one. **Pros** - **Auto-reframe is reliable.** Only 4 of 76 clips needed a manual crop fix. - **Captions are close to the marketing claim on clean audio.** About 95% accurate on solo studio dialogue, against a claimed 97%. - **Most output is usable.** 47 of 76 clips (62%) were publishable as-is, and 19 more needed only light edits. - **Pro is good value at moderate volume.** On annual billing it works out to roughly $0.048 per source minute for about 5 hours of source video a month. - **Real free tier.** 60 free minutes is enough to make a buy or skip decision before paying. **Cons** - **You pay per source minute, not per clip.** A 45-minute video costs 45 credits whether you keep 5 clips or 25, so discarded clips raise your real cost. - **Captions slip on multi-speaker audio.** Accuracy fell to about 88% on overlapping or accented conversation. - **The virality score is directional only.** Our best-performing clip scored 64; our worst scored 87. - **B-roll and the editor are weak.** 4 of 11 B-roll inserts were contextually wrong, and serious cleanup means exporting to another editor. - **Cancellation is the most common complaint.** 22% of Trustpilot reviews are one-star, and Opus Clip's own cancel screen says projects become inaccessible after 3 days. ## What is Opus Clip? Opus Clip is an AI video repurposing tool that ingests long-form video (podcasts, webinars, YouTube uploads) and outputs vertical short clips with auto-captions, auto-reframe, and a per-clip virality score, priced from a $15/month Starter plan. What it does, in four bullets: - Auto-detects "viral" moments in long-form video and cuts them into 15–60 second vertical clips - Generates animated captions in 25+ languages with claimed 97% accuracy - Auto-reframes the clip to 9:16 and tracks the speaker - Schedules posts to TikTok, Instagram, YouTube, X, and LinkedIn from a built-in dashboard Opus Pro Inc. has run the product since 2022. As of May 2026, it markets itself as "the #1 AI video clipping tool" and has 4.1/5 on G2 with over 600 reviews. ## How we tested it Six pieces of source content went through the tool over 30 days. Here's the spec, because most reviews on this SERP are vague about it. **Source content (4 hours 18 minutes total):** 1. A 47-minute solo-host podcast (clean studio audio) 2. A 62-minute two-person interview podcast (Zoom recording, light overlap) 3. A 38-minute solo podcast (recorded outdoors, some background noise) 4. A 41-minute four-person panel podcast (heavy overlap) 5. A 51-minute YouTube tutorial (screen recording with voiceover) 6. A 19-minute YouTube vlog (handheld, ambient noise) **Plan tier:** Starter ($15) for the first two videos, Pro ($29) for the remaining four. We downgraded once mid-test to confirm what's gated behind Pro and re-upgraded. **What we measured:** time to first clip, total clips returned per video, caption accuracy spot-checked on 12 random clips, virality score against actual TikTok/YouTube Shorts views over 14 days post-publish, B-roll insert quality, scheduler reliability, and the cancellation flow itself. **Headline numbers:** Across six videos, Opus Clip returned 76 clips. 47 were directly publishable, 19 needed light editing (re-cropping a head, fixing a caption), and 10 were unusable (cut mid-sentence, missed punchline, or the clip itself was about a topic the AI misread). That's a 62% out-of-the-box rate, which broadly matches what eesel AI and the Trustpilot review base report. ## Opus Clip pricing explained: per-minute credit math Opus Clip costs more than its sticker price suggests because of how credits actually work. Here's the breakdown most reviews skip. ### The plan table | Plan | Monthly price | Processing minutes | Watermark | Editor | Notable gates | |---|---|---|---|---|---| | Free | $0 | 60 minutes | Yes (1080p cap, 3-day file deletion) | View only | Virality Score locked | | Starter | $15/month | 150 minutes | Removed | Limited | Editor view, no advanced edits | | Pro | $29/month ($14.50/month billed annually) | 300 minutes/month (3,600 per year on annual; arrival disputed, see below) | Removed | Full | Clip editor, AI hook, B-roll insert, 2-user team | | Business | Custom | Custom | Removed | Full | Multi-seat, brand kit, priority processing | Source: [opus.pro/pricing](https://www.opus.pro/pricing). Monthly prices ($0 / $15 / $29 / Custom) re-verified 2026-10-01; processing minutes and the annual Pro price are as verified 2026-05-01, because the current page no longer lists them in its plan comparison. ### How credits actually work One credit equals one minute of *source* video processed, not one clip out. A 45-minute podcast costs 45 credits whether the AI returns 5 clips or 25. This is the most important pricing fact, and it's the one most surprising to first-time users, because it inverts the assumption that "more clips" should cost more. Two implications: 1. The math gets worse for **longer source content with low clip yield** (a 90-minute podcast that produces only 8 usable clips costs the same as one that produces 25). 2. The math gets worse for **discarding output**. If you trash 30% of clips, your real cost-per-usable-clip jumps by 43%. ### Worked example: solo podcaster You record two 45-minute episodes per month. That's 90 source minutes. On Starter at $15/month with 150 included credits, you use 90 and leave 60 on the table. Your cost per minute actually processed is about $0.17, but factoring in the typical 20–40% discard rate, your real cost-per-usable-clip lands at $1.50–$2.50. For the plan a weekly show actually needs, rather than a two-episode month, see [which Opus Clip plan a weekly podcast needs](/blog/is-opus-clip-worth-it-for-podcasters/). You're paying for headroom you don't use, which is fine. The catch is that the banking window is short rather than absent: monthly credits are valid for 60 days, so one month's leftovers survive into the next period and then lapse. You cannot accumulate a quarter's worth. Full rules in [our breakdown of Opus Clip's credit expiry](/blog/do-opus-clip-credits-expire/). ### Worked example: agency This is where the plan page misleads people, so read the credit line carefully. Pro includes **300 credits per month**. The 3,600 number you'll see quoted is the *annual* total: 3,600 credits for the year on annual billing. It is not 3,600 per month. **Caveat added 2026-09-24.** This review described the 3,600 as delivered upfront on yearly billing, which is what Opus Clip's credits article still says. Its Agent Opus credits FAQ now states the opposite in so many words: that the yearly figure "is the sum of those monthly grants, not a single balance released up front." We cannot verify which the billing system enforces without buying a yearly plan, so both versions are recorded rather than one being picked. Either way 3,600 is annual, not monthly. Detail in [do Opus Clip credits expire?](/blog/do-opus-clip-credits-expire/) That changes the agency math completely. Run 10 hours of client video per week and you're at roughly 2,400 source minutes per month. Pro's 300 monthly credits cover about four days of that. You are not an agency on Pro; you are an agency on Business, at custom pricing, and every published account of Business pricing we could find lands somewhere between $60 and $145/month depending on the hours tier. Where Pro is genuinely efficient is the tier below that: about 5 hours of source video per month, or one weekly hour-long episode. On annual billing that's $174/year for 3,600 credits, roughly $0.048 per source minute. At a 20–40% discard rate, cost-per-usable-clip lands in the $0.30–$0.60 range. That is good value. It is also a much smaller operation than the word "agency" implies. ### Do Opus Clip credits expire? Yes. Monthly credits are valid for 60 days, which gives one month of rollover before the oldest batch lapses; yearly credits are valid for 12 months. Those figures are stated consistently across Opus Clip's help centre, verified 2026-09-24. What happens on cancellation is not consistent. One Opus Clip help page says remaining credits expire at the end of your current billing cycle; another says they keep their original expiry date even if that falls later. Both were live on the same day. That is also where the most-cited Trustpilot complaint lives: reviewers describe paying for credits they never got to use after a subscription lapsed. Screenshot your balance before changing anything on the subscription page. We pulled the full documentation audit into a separate post: [do Opus Clip credits expire, and what happens when you cancel](/blog/do-opus-clip-credits-expire/). ## Caption quality (the 97% claim, tested) Opus Clip claims 97% caption accuracy. In spot-check testing on 12 clips with mixed audio quality, observed accuracy was approximately 95% on clean solo dialogue and approximately 88% on conversation with overlap or non-American accents. Close to the marketing claim, but not without exceptions. Here's where the captions break down: | Audio type | Observed accuracy (spot-check, n=12) | Common error type | |---|---|---| | Clean solo, studio mic | ~95% | Punctuation drift, occasional brand-name miss | | Solo with light noise | ~92% | Filler-word over-insertion ("um", "uh") | | Two-person clean | ~90% | Speaker-attribution wrong on rapid back-and-forth | | Multi-speaker overlap | ~88% | Whole phrases dropped during overlap | | Non-American English accent | ~88% | Proper nouns mistranscribed | Customization is real. You can change fonts, animation style, add emoji highlights, and color-code keywords. The defaults are good. The fix-it-in-the-editor experience is where users push back. Reddit threads in r/podcasting consistently call the in-app caption editor "fiddly" or, more bluntly, "comically bad" when batch-editing. Bottom line on captions: the 97% claim is roughly defensible for clean solo audio. For interviews and panels, expect a manual review pass per clip. ## Is the Opus Clip Virality Score accurate? (30 clips, 14 days tracked) Opus Clip's Virality Score runs **0 to 99**, per [Opus Clip's own help centre](https://help.opus.pro/docs/article/virality-score) (verified 2026-09-26). This review previously said 0–100, the figure Opus Clip uses on its marketing pages. The score ranks clips by a private algorithm scoring hook, pacing, and topic shifts. In testing, clips scored 80+ outperformed sub-50 clips on average TikTok views by roughly 2.3x. Several low-scoring clips outperformed high-scoring ones, mirroring a pattern multiple Reddit reviewers report. What the score is supposed to measure: - Hook strength in the first 3 seconds - Pacing and emotional arc - Topic shifts that hold attention - Caption clarity and emoji placement What we observed across 30 published clips on TikTok and YouTube Shorts after 14 days: 1. Clips with scores above 75 averaged about 2.3x the views of clips scored below 50. 2. The highest-performing clip in the test scored 64, well below the threshold that's supposed to predict success. 3. The lowest-performing clip scored 87. 4. Correlation, not causation: high-scoring clips tend to have stronger hooks, but the algorithm is a directional heuristic, not a guarantee. Reddit users on r/podcasting echo this pattern. One thread quoted by toksta's review aggregator put it as: "Some of my low-virality-score clips have outperformed the supposed winners by a lot." That matches the test data here. Use the Virality Score to prioritize what to review first, not as a publish/skip decision. For the fuller picture, including how accurate the score is as a view predictor and why our own clips bunch at the top of the scale, see [how accurate is the Opus Clip Virality Score](/blog/how-accurate-is-the-opus-clip-virality-score/). ## Auto-reframe, B-roll, and the editor The auto-reframe is reliably good. Speaker-tracked vertical crops require almost no manual fix on standard talking-head content. Out of 76 clips, only 4 needed manual crop adjustment. The B-roll feature is unreliable. Across 30 generated clips on Pro, 11 had B-roll inserts and 4 of those were contextually wrong. A clip about podcast equipment got a B-roll image of a coffee cup, for example. The B-roll is opt-in per clip on Pro, so this is a manageable issue, but it's the feature most reviewers (and Trustpilot raters) flag as flaky. The in-app editor is functional but limited. You can trim, adjust captions, swap a font, and reposition the speaker frame. You can't do real multi-track editing, you can't fine-tune audio, and you can't easily fix overlapping captions. Users on r/podcasting consistently call the editor "comically bad" for serious cleanup. For surface fixes it's fine. For anything more involved, you'll export and finish in Descript, CapCut, or Premiere. On Pro, Opus Clip's XML export keeps those cuts editable; here's [how its Premiere and DaVinci export compares with other clip tools](/blog/ai-clip-maker-export-to-premiere-pro-davinci/). ## Scheduler and platform integrations Opus Clip ships with a built-in scheduler for TikTok, Instagram, YouTube, X, and LinkedIn. Trustpilot reviewers report TikTok auth dropping every few weeks and silent post failures, issues confirmed during testing on two of six scheduled posts. What worked in testing: Instagram Reels and YouTube Shorts uploads went through cleanly. Captions, thumbnails, and hashtags carried over. LinkedIn worked on the first try. What didn't: TikTok required re-authentication twice during the 30-day window. One scheduled TikTok post was created in the dashboard but never appeared on the public profile. Silent failure, no error notification. We caught it the next day. A second scheduled post worked normally. If the scheduler is a major reason you're considering Opus Clip, plan to verify each post manually for the first month. After that you can probably trust it for daily content; for high-stakes campaigns, use a dedicated scheduler. ## Opus Clip cancellation and refunds: what to know before you subscribe On Trustpilot's 302-review sample, Opus Clip averages 4.0/5. But 22% of reviews are 1-star, with the most common complaints citing post-cancellation charges, lost access to projects after subscription lapse, and a cancellation flow that requires multiple steps to activate the cancel button. This is where we'd encourage skepticism, because the pattern is consistent enough across [Trustpilot](https://www.trustpilot.com/review/opus.pro), G2 (3.7/5 customer support sub-score), and Reddit threads that it's not noise. What users on Reddit r/podcasting and r/socialmedia describe most often: - Subscription auto-renews without a clear advance notice - Active projects become read-only or inaccessible after cancellation - The cancel button is intentionally indirect: multiple confirmation screens, scrolling, and "are you sure" steps - Refund requests via the in-app contact form go unanswered for days In testing, the cancellation flow took about 90 seconds and three confirmation screens. No post-cancellation charges hit the card used, but the test window was 30 days and Trustpilot's pattern reflects a longer time horizon. ### Before you cancel: the four-bullet checklist 1. **Download every clip you've already generated** to local storage. 2. **Screenshot your active credit balance** and the renewal date. 3. **Note your card's last four digits** in case you need to dispute a post-cancellation charge. 4. **Cancel at least 5 days before** the renewal date, in case the cancel flow stalls. Most users won't have problems. A meaningful minority do. The checklist takes 10 minutes and is cheap insurance. **Update 2026-09-26:** the "projects become inaccessible" reports above now have a number attached to them. Opus Clip's own cancellation screen states projects are no longer accessible after 3 days. The full mechanics, such as refunds being per-project rather than per-subscription, App Store subscriptions living outside Opus Clip, and account deletion being blocked while a subscription is active, are in [how to cancel Opus Clip](/blog/how-to-cancel-opus-clip/). ## Verdict by creator type Most Opus Clip reviews give one verdict for everyone. That's wrong. The pricing math, feature gating, and discard rate hit different creator types differently. Here's the segmented call. ### Is Opus Clip worth it for podcasters under 4 hours/month? → **Skip** For solo podcasters publishing under 4 hours per month, Opus Clip's per-minute pricing makes Starter the wrong tier. If you publish a weekly 45-minute solo episode, you're spending $15/month for credits you mostly don't use, and the 20–40% discard rate compounds the inefficiency. Cheaper or free alternatives serve this case better. ### For YouTubers publishing 30+ min episodes weekly → **Try** This is the case where Opus Clip starts to make sense. A weekly 45-minute YouTube upload uses ~180 minutes/month, under Starter's cap. Caption polish on clean solo audio is a real differentiator for YouTube Shorts. Try the free 60 minutes first, then make the call. ### For course creators and coaches → **Try, with caveats** Course videos are usually clean audio, single speaker, structured content. The AI does well on this material. The catch: course content often relies on context the AI can miss (a clip cut mid-explanation reads as random advice). Plan a tighter manual review pass than you would for podcast content. Pro is probably the right tier. ### Is Opus Clip worth it for marketing agencies? → **Buy, but price Business not Pro** At 10+ hours per week of source video the tool itself earns its keep: the discard rate stings less when absolute clip volume is high, and brand kits, multi-user access, and priority processing all matter at that scale. The correction to make here, because most reviews get it wrong: Pro's 300 monthly credits do not cover agency volume. Ten hours a week is roughly 2,400 source minutes a month, which is eight times what Pro includes. You will be quoted Business pricing, it is not published, and reported figures range widely. Budget for that conversation before you build a client workflow around Pro's sticker price. ### For gamers and streamers → **Skip** [twoaveragegamers.com](https://www.twoaveragegamers.com/opusclip-review-2026-great-tool-wrong-hype-for-gamers/) summarizes the gaming case better than we can. The AI is tuned for spoken-content arcs (hooks, topic shifts, conversational beats). Gaming streams are visual moments and gameplay highlights, which the algorithm doesn't recognize well. The Virality Score correlates poorly with what actually goes viral in gaming clips. Use a streamer-purpose tool instead. ## Opus Clip alternatives worth knowing The most-cited Opus Clip alternatives in 2026 are Vizard (same workflow, twice the minutes for the money), Submagic (best-in-class captions), Klap (priced per clip, cheap for long sources) and LumiClip (the lowest price per source minute). Each wins on a different axis. For all of them ranked side by side, see the [14 Opus Clip alternatives ranked by cost per source minute](/blog/best-opus-clip-alternatives/), with US prices read from each vendor's page on 26 October 2026. A short take on each (US prices, 26 October 2026): - **Vizard.** Closest workflow match to Opus Clip. Creator is $29/month or $14.50/month yearly for 600 credits, twice Opus Clip Pro's 300, with scheduling. Caption polish is roughly comparable on clean audio. - **Submagic.** Caption-first tool from $19/month for 15 videos up to 2 minutes each. The captions are better than Opus Clip's defaults. Best for creators who want polish over auto-clipping. - **Klap.** Priced per output clip: $14/month billed yearly for 100 clips. A three-hour source costs the same as a ten-minute one. No free plan. - **2short.ai.** $9.90/month for 5 hours, about a third of Opus Clip's per-minute price. Output quality is below Opus Clip on complex audio, and there is no scheduler. - **ScaleReach.** Disclosure: this review is published by ScaleReach. Starter is $12/month, or $10/month billed yearly, for 200 minutes, with scheduling to YouTube and Instagram and an MCP server for Claude and ChatGPT. The [ScaleReach vs Opus Clip comparison](/alternatives/opus-clip/) has the head-to-head. For a third-party view, the [G2 alternatives page](https://www.g2.com/products/opus-clip/competitors/alternatives) lists more tools, though without prices. ## FAQ ### Is Opus Clip free? Opus Clip has a free tier with 60 processing minutes per month, watermarked exports capped at 1080p, and files deleted after 3 days. You can test the core workflow without paying. The Virality Score, scheduler, and full editor are paid features. For most creators evaluating the tool, the 60 free minutes are enough to make the buy/skip decision. ### Is Opus Clip worth it? Opus Clip is worth it for high-volume creators on the Pro plan with clean long-form audio. It's the wrong tool for solo podcasters on a budget: the per-minute pricing punishes infrequent uploaders. Plan to discard 20–40% of generated clips, factor that into the cost-per-usable-clip math, and decide at your specific volume. ### How accurate are Opus Clip's captions? Opus Clip claims 97% caption accuracy. In independent spot-checks on 12 clips, observed accuracy was about 95% on clean solo dialogue and about 88% on overlapping or accented conversation. The marketing number is roughly defensible for clean studio audio; expect higher error rates on multi-speaker recordings and plan a manual review pass per clip. ### Does Opus Clip work for podcasters? Yes. Podcasters with clean studio audio report 80%+ usable clip rates, per [The Podcast Host's coverage](https://www.thepodcasthost.com/recording-skills/can-opusclip-make-your-podcast-go-viral/). The strongest fit is interview or solo podcasts with at least 30 minutes per episode published weekly. The weakest fit is short-form, low-volume podcasting, where the per-minute pricing stops making sense. ### Is Opus Clips safe to use? Opus Clip is a legitimate, established product (run by Opus Pro Inc. since 2022, 4.0/5 on Trustpilot, 4.1/5 on G2), and we paid the Starter and Pro prices it lists. The main risk is cancellation: 22% of Trustpilot reviews are one-star, with complaints about post-cancellation charges and lost project access. We did not audit its data security, but we read its privacy documents: it lists SOC 2 Type 2 and GDPR on its Trust Center and does not say whether videos train AI models. See [our privacy and data retention check](/blog/opus-clip-privacy-and-data-retention/) before uploading sensitive footage. ### Is Opus Clip safe to cancel? Most users cancel without incident, but a meaningful minority on Trustpilot report post-cancellation charges and lost access to active projects. Before you cancel: download all generated clips, screenshot your credit balance and renewal date, and cancel at least 5 days before the next billing cycle. The cancellation flow itself takes about 90 seconds and three confirmation screens. ### What's the best Opus Clip alternative? It depends on what you pay for. LumiClip is the cheapest per source minute at $0.028 against Opus Clip Starter's $0.100, Vizard is the closest workflow match with twice Pro's minutes at the same $29, Submagic wins on caption polish and Klap on long sources because it charges per clip. ScaleReach (disclosure: it publishes this review) bundles scheduling and an MCP server from $12. Our [ranked list of Opus Clip alternatives](/blog/best-opus-clip-alternatives/) has all 14 with US prices from 26 October 2026. ## The bottom line Opus Clip is a competent tool that does what it claims to do, on the right plan, for the right creator type. The 97% caption accuracy is roughly defensible, the Virality Score is a useful directional signal (not a publish/skip decision), and the auto-reframe is genuinely good. The B-roll is flaky, the editor is limited, and the cancellation experience is the most-cited reason people leave. Pricing is per-source-minute, not per-clip, and that math punishes low-volume creators. If you publish one long episode a week, Pro on annual billing is good value. If you're a solo podcaster publishing under 4 hours of source content per month, the math doesn't work, and you should test cheaper alternatives first. If you're a genuine multi-client agency, skip Pro entirely and get a Business quote before you commit. --- ## Changelog **15 October 2026 update.** The "Is your data safe?" bullet and the "Is Opus Clips safe to use?" FAQ answer now summarize Opus Clip's published privacy documents and link to a full privacy check. We read them but did not audit Opus Clip's systems. No figures changed. **9 October 2026 update.** Retitled around the most-searched question and added an "Is Opus Clip safe?" section and FAQ entry. It separates legitimacy and billing, which we tested, from data security, which we did not audit. No figures changed. **October 2026 update.** Added a pros and cons summary drawn from the existing test data. Re-verified Opus Clip's monthly plan prices on opus.pro/pricing (unchanged). Corrected ScaleReach's own entry price, which this review listed as $10/month: that is the annual-billing rate, and monthly billing is $12. **September 2026 update.** Two corrections, both from re-reading Opus Clip's help centre on 2026-09-24. First, this review said unused credits "reset" and could not be carried to the next month. That was wrong: monthly credits are valid for 60 days, which is one month of rollover. The solo-podcaster example has been amended. Second, the "Do Opus Clip credits expire?" section was answered from Trustpilot complaints rather than from the documentation, and is now answered from the documentation. Separately, this review's claim that the 3,600 yearly figure is delivered upfront is now contested by Opus Clip itself: its Agent Opus credits FAQ says the yearly total is the sum of twelve monthly grants, "not a single balance released up front", while its credits article still says the full year arrives immediately. Both versions are now recorded in the pricing section rather than one being chosen. Full audit in [do Opus Clip credits expire?](/blog/do-opus-clip-credits-expire/) **July 2026 update.** Corrected the Pro plan credit allowance. An earlier version of this review listed Pro as 3,600 minutes per month. That figure is the annual total on yearly billing; the monthly allowance is 300 credits. The agency worked example and the agency verdict have both been rewritten on the corrected math, and the conclusion changed as a result: Pro does not cover agency volume, Business does. The solo-podcaster credit example was also corrected (90 of 150 credits used, not 60). **Last reviewed:** October 2026 **Next planned refresh:** December 2026 **Update hooks:** Trustpilot rating and one-star percentage; G2 sub-scores; Opus Clip's plan pricing if it changes; whether Opus Clip reconciles its two cancellation statements or its two yearly-credit statements; new feature releases (especially around the editor and B-roll); shifts in Reddit sentiment. --- ### About the author *This review was written for [ScaleReach](/), an Opus Clip alternative built for podcasters and creators from $12/month ($10/month billed annually). The author paid for Opus Clip's Starter and Pro plans to write this review and has no affiliate relationship with Opus Clip. For a side-by-side comparison of ScaleReach and Opus Clip, see the [comparison page](/alternatives/opus-clip/); otherwise, this review stands as-is.* --- # How to Grow a YouTube Channel From Zero: A 90-Day Plan URL: https://www.scalereach.ai/blog/how-to-grow-youtube-channel-from-zero-using-ai-clips Published: 2026-04-13 · Author: Hevin K Tags: YouTube Growth, YouTube Shorts, AI Clip Maker, Monetization YouTube shares ad revenue with channels that reach 1,000 subscribers plus either 4,000 qualified watch hours in the last 12 months or 10 million qualified Shorts views in the last 90 days ([YouTube Partner Program eligibility](https://support.google.com/youtube/answer/72851), verified 2026-10-26). YouTube does not say how long a new channel takes to get there, and nobody can honestly promise you a date. What 90 days can give you is 12 long videos, 52 to 76 Shorts cut from them, and enough YouTube Studio data to know which topic the channel should be about. This post is that plan, week by week. It assumes one long video a week, with an AI clipper pulling the Shorts out. The clipping itself has its own guide: [how to turn YouTube videos into Shorts without re-editing everything](/blog/how-to-turn-youtube-videos-into-shorts/). ## What does a 90-day plan for a new YouTube channel look like? A 90-day plan for a new channel is one long-form upload a week, a steady run of Shorts cut from it, and one decision per month based on what Studio shows you. The numbers below are our recommendation for a solo creator, not a YouTube rule. YouTube does not publish a required posting frequency. | Weeks | Long-form uploads | Shorts per week | What to measure | |---|---|---|---| | 1 to 4 | 1 per week, split across 2 or 3 related topics | 3 to 5, cut from that week's video | "Shown in feed" and the viewed vs swiped away share, grouped by topic | | 5 to 8 | 1 per week, all on the topic that won | 5 to 7, from the new video plus unused clips from weeks 1 to 4 | Subscribers per Short, thumbnail click-through rate on long videos, "Shorts" traffic to long videos | | 9 to 12 | 1 per week, each answering a question your best Shorts raised | 5 to 7 | New vs returning viewers, qualified watch hours and Shorts views against the YPP bar | Metric names come from YouTube's [Shorts Content tab guide](https://support.google.com/youtube/answer/12942217) and [reach report guide](https://support.google.com/youtube/answer/9314355), both verified 2026-10-26. If one long video a week is too much, publish every two weeks and fill the gap with Shorts from your back catalog. The cadence matters less than keeping week 12 the same as week 1, because Studio numbers are only comparable when the inputs stay steady. ## How do Shorts and long-form videos feed each other? Shorts and long-form videos feed each other in three ways: the long video supplies the Shorts, the Shorts tell you what the next long video should be, and a related-video link sends Shorts viewers to the long video. The link matters because YouTube counts the two formats separately toward monetization. YouTube's eligibility page says watch hours from Shorts views in the Shorts Feed do not count toward the 4,000 watch-hour threshold ([YouTube Help](https://support.google.com/youtube/answer/72851), verified 2026-10-26). A Short with a million views adds nothing to the long-form path. A Short helps your watch hours only by sending a viewer to a long video, where the time they spend can count. The loop: 1. **Long video to Shorts.** Each upload is the raw material for that week's Shorts. 2. **Shorts to topic.** Fifteen Shorts across three topics give you far more data points than four long videos alone. 3. **Shorts back to long video.** A related-video link on each Short points at the full episode. ## How do you link a YouTube Short to a long video? You link a Short to a long video with YouTube's related-video feature, which shows "a clickable link below your channel handle" in the Shorts player ([Add a related video to your YouTube Shorts](https://support.google.com/youtube/answer/14075157), verified 2026-10-26). It can point to your own Videos, Shorts, or Live content. The steps, from YouTube's help page: 1. Sign in to YouTube Studio. 2. Select **Content** in the left menu. 3. Click the Short you want to edit. 4. Choose a **Related video** from your channel. 5. Click **Save**. Three conditions apply. You add the link after the Short is uploaded. The linked video must be public or unlisted and follow the Community Guidelines. And the feature is "only available with advanced feature access" (same source). YouTube grants advanced features through channel history, or right away if you verify your identity with a valid ID or a video ([advanced features](https://support.google.com/youtube/answer/9890437), verified 2026-10-26). A new channel has no history, so verify in week 1. Do not rely on a URL in the description or a pinned comment. YouTube makes URLs in Shorts descriptions and Shorts comments non-clickable "to reduce spam and scam attempts" ([sharing links with your audiences](https://support.google.com/youtube/answer/13748639), verified 2026-10-26). ## What should a new channel publish in weeks 1 to 4? In weeks 1 to 4, publish one long video a week across two or three related topics and cut 3 to 5 Shorts from each. The job of this month is finding out which topic earns attention from strangers, because a zero-subscriber channel has no audience yet to tell you. Pick topics close enough that the winner can become the whole channel. Hypothetical example: "Japan rail passes" and "eating cheap in Tokyo" can merge into one channel. "Japan travel" and "guitar lessons" cannot. Week 1 setup, before the first upload: - **Turn on 2-Step Verification.** YouTube lists it as a Partner Program requirement ([YouTube Help](https://support.google.com/youtube/answer/72851), verified 2026-10-26). - **Get advanced features** so the related-video link works from your first Short. - **Fix a recording day.** The clipper does the cutting. The recording day is the part only you can protect. What to measure: open Analytics, go to the Content tab, switch to Shorts, and note two numbers per Short. "Shown in feed" is "the number of times that your Shorts showed in the Shorts Feed." "How many chose to view" shows "the percentage of times that viewers viewed your Shorts versus swiped away" ([Shorts Content tab guide](https://support.google.com/youtube/answer/12942217), verified 2026-10-26). Group both by topic. The topic whose Shorts are shown more and swiped away less is your candidate. To go deeper on a single Short, here is [how to read a good vs bad Shorts retention graph](/blog/youtube-shorts-retention-graph-good-vs-bad/). Give each Short a couple of days before judging it. YouTube notes that audience retention data typically takes 1 to 2 days to process ([audience retention report](https://support.google.com/youtube/answer/9314415), verified 2026-10-26). The week 4 decision: pick one topic. If two are close, pick the one you could make twelve more long videos about. ## What changes in weeks 5 to 8? In weeks 5 to 8, every long video moves to the winning topic and Shorts go up to 5 to 7 a week. The extra Shorts come from the new weekly video plus earlier candidates that fit the winning topic but did not make the cut. Point every Short at the long video it came from, or at the newest long video on the winning topic if the source covered a topic you dropped. What to measure: - **Subscribers per Short.** The Shorts Content tab reports the "change in subscribers compared to your typical performance" ([YouTube Help](https://support.google.com/youtube/answer/12942217), verified 2026-10-26). Shorts that bring in subscribers show which angle people want more of. - **Thumbnail click-through rate on long videos.** YouTube defines it as "how often viewers watched a video after seeing a thumbnail" ([reach report](https://support.google.com/youtube/answer/9314355), verified 2026-10-26). If it is low while the video's Shorts did well, test a new title and thumbnail before dropping the topic. - **"Shorts" as a traffic source on long videos.** The Reach tab lists "Shorts" as "traffic from the Shorts vertical viewing experience" (same source). It is the closest signal that Shorts are sending people to long-form. YouTube does not document a separate report for related-video link clicks. ## What should weeks 9 to 12 focus on? Weeks 9 to 12 focus on turning one-time viewers into returning ones. Keep the cadence and make each long video answer a question your best Shorts raised, so the related-video link leads somewhere the viewer already wants to go. Two moves for this month: 1. **Mine comments.** Build the next long video around the question repeated most under your five best Shorts. 2. **Use playlists.** YouTube reports playlists as their own traffic source: "traffic from any playlist that included one of your videos" ([reach report](https://support.google.com/youtube/answer/9314355), verified 2026-10-26). What to measure: - **New vs returning viewers.** YouTube says channel impressions are "segmented by New and Returning users," and the Audience tab shows "what percentage of your audience are new, casual, and regular viewers" ([YouTube Analytics basics](https://support.google.com/youtube/answer/9002587), verified 2026-10-26). A rising regular share means a channel is forming. - **Progress toward the Partner Program.** Track qualified long-form watch hours (12-month window) and qualified Shorts views (90-day window) separately. ## How many subscribers do you need to monetize a YouTube channel? You need 1,000 subscribers for a share of ad revenue, or 500 subscribers for fan funding and Shopping in countries where YouTube runs its expanded Partner Program. Each tier also needs watch hours or Shorts views, and the ad-revenue bar rises on 1 February 2027 for creators not yet in the program. | Tier | Subscribers | Plus | What it unlocks | |---|---|---|---| | Expanded YPP (listed countries) | 500 | 3 valid public uploads in the last 90 days, and either 3,000 qualified watch hours in 12 months or 3 million qualified Shorts views in 90 days | Fan funding (memberships, Super Chat, Super Stickers, Super Thanks) and Shopping | | YPP, current entry bar | 1,000 | 4,000 qualified watch hours in the last 12 months, or 10 million qualified Shorts views in the last 90 days | Revenue sharing from ads and YouTube Premium | | YPP for new creators from 1 February 2027 | 1,000 | 8,000 qualified watch hours in the last 365 days, or 20 million qualified Shorts views in the last 90 days | Revenue sharing from ads and YouTube Premium | Sources, all verified 2026-10-26: [YPP overview and eligibility](https://support.google.com/youtube/answer/72851), [overview of the expanded YPP](https://support.google.com/youtube/answer/13429240), [changes to the YouTube Partner Program](https://support.google.com/youtube/answer/12843009). Four details that change how you plan: - **The 500-subscriber tier is regional.** YouTube's country list includes the United States, the United Kingdom, India and Japan. Outside it, "there are no changes to the YouTube Partner Program for you" ([expanded YPP](https://support.google.com/youtube/answer/13429240)). - **The view count you see is not the number YPP uses.** Since 24 August 2026, YouTube counts a view "the moment a video starts to play," but YPP eligibility "will still be based on 'qualified views'" ([how engagement metrics are counted](https://support.google.com/youtube/answer/2991785), verified 2026-10-26). - **Meeting the numbers is not instant approval.** YouTube reviews the whole channel, usually in about a month, and you need a linked AdSense account and no active Community Guidelines strikes ([YPP eligibility](https://support.google.com/youtube/answer/72851)). - **The 2027 change spares existing members.** "If you are already in YPP, your status is not impacted by this update" ([changes to YPP](https://support.google.com/youtube/answer/12843009)). The 500-subscriber tier keeps its current thresholds. As plain arithmetic, 4,000 hours in 12 months averages about 11 hours of long-form watch time a day, and 10 million Shorts views in 90 days averages about 111,000 qualified views a day. The 500-subscriber Shorts path is about 33,000 a day. These are averages, not forecasts. ## What is a realistic milestone after 90 days? A realistic 90-day milestone is one clear topic, 12 long videos, a library of Shorts linked to them, and a baseline for every metric in the plan table. Subscriber counts at day 90 vary too much by niche for any single number to be honest, and YouTube does not publish a typical one. By day 90, you should be able to say yes to each: - 2-Step Verification and advanced features are on. - The week 4 topic has not changed since. - Every Short links to a long video. - You know your typical "How many chose to view" share. - You know which YPP path is closer. Starting in late October 2026 puts day 90 in late January 2027, a week before the new entry thresholds take effect. Plan against the 2027 numbers unless you are already close to the current ones. ## What does the 90-day plan cost in clipping minutes? The plan runs about four source videos a month through an AI clipper, so the cost depends on your video length. ScaleReach bills by minutes of source video, not per clip. | Weekly video length | Source minutes per month (about 4 videos) | ScaleReach plan that covers it | |---|---|---| | 10 minutes | 40 | Free covers the first 10 videos (watermarked), then Starter | | 20 minutes | 80 | Starter, 200 minutes/month | | 45 minutes | 180 | Starter, 200 minutes/month (Free caps uploads at 30 minutes) | | 90-minute podcast | 360 | Pro, 400 minutes/month | Free is $0 with 100 free minutes, watermarked, and a 30-minute cap per upload. Starter is $12/month billed monthly or $10/month billed annually for 200 minutes a month, about $0.05 per source minute on annual. Pro is $18/month monthly or $12.50/month annually for 400 minutes a month. Source: [ScaleReach pricing](/pricing/), verified 2026-10-26. ## FAQ ### How long does it take to grow a YouTube channel from zero? Nobody can give you an honest fixed timeline, and YouTube does not publish an average. What you can control is the time to a usable signal: with one long video and 3 to 7 Shorts a week, four weeks is enough to compare topics and twelve weeks is enough to see whether returning viewers are rising. Monetization runs on a separate clock: 1,000 subscribers plus 4,000 qualified watch hours in 12 months or 10 million qualified Shorts views in 90 days (Source: support.google.com/youtube/answer/72851, verified 2026-10-26). ### Do YouTube Shorts views count toward the 4,000 watch hours? No. YouTube's eligibility page says watch hours from Shorts views in the Shorts Feed do not count toward the 4,000-hour threshold. Shorts count toward the separate Shorts path instead: 1,000 subscribers and 10 million qualified Shorts views in the last 90 days. Shorts can still help the watch-hour path indirectly when a related-video link sends a viewer to one of your public long videos (Source: support.google.com/youtube/answer/72851, verified 2026-10-26). ### How many Shorts should a new YouTube channel post per week? Post as many as you can still post in week 12. Our plan uses 3 to 5 a week in the first month and 5 to 7 after that. YouTube does not publish a required frequency, so treat these as a starting cadence, not a rule. Cutting them from one weekly long video with an AI clipper keeps the number realistic, and a steady count keeps your Studio numbers comparable week to week. ### Can you put a clickable link in a YouTube Shorts description? No. YouTube makes URLs in Shorts descriptions and Shorts comments non-clickable to reduce spam and scams. The clickable option is the related-video link, which appears below your channel handle in the Shorts player and can point to one of your own videos, Shorts or live streams. You add it in YouTube Studio after uploading the Short, and it requires advanced feature access (Source: support.google.com/youtube/answer/13748639 and support.google.com/youtube/answer/14075157, verified 2026-10-26). ### Can a new YouTube channel start earning at 500 subscribers? Yes, in the countries where YouTube runs its expanded Partner Program. With 500 subscribers, 3 valid public uploads in the last 90 days, and either 3,000 qualified watch hours in 12 months or 3 million qualified Shorts views in 90 days, you can apply for fan funding and Shopping features. A share of ad revenue still needs the 1,000-subscriber tier (Source: support.google.com/youtube/answer/13429240, verified 2026-10-26). ### Are YouTube's monetization requirements changing in 2027? Yes. From 1 February 2027, YouTube says entry thresholds for new creators change to 8,000 qualified watch hours in the last 365 days or 20 million qualified Shorts views in the last 90 days, still with 1,000 subscribers. Channels already in YPP keep their status, and the 500-subscriber tier keeps its thresholds. A channel starting from zero today should plan against the 2027 numbers (Source: support.google.com/youtube/answer/12843009, verified 2026-10-26). ## The bottom line Growing a YouTube channel from zero is a data problem before it is a growth problem. One long video a week, 3 to 7 Shorts cut from it, a related-video link on every Short, and one decision a month: pick the topic in week 4, commit in weeks 5 to 8, build returning viewers in weeks 9 to 12. Monetization runs on YouTube's published thresholds, not a promised timeline. Shorts views and long-form watch hours count separately, and the bar for new creators rises on 1 February 2027, so build both sides of the loop. --- ## Changelog **October 2026 update.** Rewrote the post as a week-by-week 90-day plan with YouTube Partner Program thresholds, including the 1 February 2027 change, linked to YouTube's help pages. Removed an anecdote about a creator monetizing in 40 days and a "12 to 18 months" timeline, because we could not source either. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 If a number here looks wrong, email hevin@scalereach.ai and we will correct it. --- # TikTok vs YouTube Shorts vs Instagram Reels: Which First? URL: https://www.scalereach.ai/blog/tiktok-vs-youtube-shorts-vs-instagram-reels Published: 2026-04-11 · Author: Hevin K Tags: Short-Form Video, TikTok, YouTube Shorts, Instagram Reels, Content Strategy YouTube starts sharing Shorts ad revenue at 1,000 subscribers and 10 million Shorts views in 90 days. TikTok's Creator Rewards Program asks for 10,000 followers, 100,000 video views in 30 days, and videos at least one minute long. Instagram's list of monetisation tools has no ad revenue share for Reels at all. The three differ on length caps, discovery, pay and repost rules. This post compares them side by side, then says which to lead with for new creators, long-term channels and local businesses. The short answer: post the same clean clip to all three. Disclosure: ScaleReach publishes this post and makes a clip tool that schedules posts, so we benefit when creators post to more platforms. No platform paid for this and there are no affiliate links. Every limit and threshold below was read on the platform's own pages on 26 October 2026 and is linked. We ran no performance test, so this post contains no view counts of our own. ## The 60-second verdict > **Post to all three if** you can export one clean, watermark-free vertical clip. Each platform's repost rules target watermarks and other people's content, not your own video elsewhere. > > **Lead with TikTok if** you have no audience. TikTok says follower count is not a direct factor in its recommendations. > > **Lead with YouTube Shorts if** you want long-term channel growth. Shorts sit on the same channel as your long-form videos, with the clearest path to an ad revenue share. > > **Lead with Instagram Reels if** you are a local or brand-led business. Boosting, trial reels and Gifts run on a professional account, and a reel can carry a location. > > **Bottom line:** pick a primary platform for your attention, then post every clip to all three. ## How do TikTok, YouTube Shorts and Instagram Reels compare? One row per decision, each cell from the platform's own pages, verified 2026-10-26. | What you need to know | TikTok | YouTube Shorts | Instagram Reels | |---|---|---|---| | Maximum length | 60 minutes uploaded in the app, 10 minutes recorded in the app | 3 minutes | 20 minutes, but reels over 3 minutes are not recommended to new audiences | | Upload specs | Web uploads via TikTok Studio: MP4 or WebM, 720x1280 or higher, under 10 GB | Square or vertical. Wider or longer videos count as long-form | Aspect ratio 1.91:1 to 9:16, at least 30 FPS and 720 pixels | | Who sees it first | Viewers in the For You feed | Viewers in the Shorts feed, plus subscribers in the Subs tab | Your followers, plus suggested reels for non-followers | | What ranking rewards | Viewer interactions. A finished longer video outweighs weak signals | Share of viewers who chose to watch, average view duration, average percentage viewed | The viewer's recent likes, saves, reshares and comments, then their history with you | | Main payout program | Creator Rewards: 10,000 followers, 100,000 views in 30 days, videos of 1 minute or more | YouTube Partner Program: 1,000 subscribers plus 4,000 watch hours or 10 million Shorts views | No ad revenue share. Gifts from 500 followers, Subscriptions from 10,000 | | Analytics | TikTok Studio, on personal and business accounts, once you have a public post | YouTube Studio Analytics, no minimum stated | Reel insights on any public personal or professional account | | Repost rule | Unoriginal content, such as video with someone else's watermark, is not eligible for For You | Re-uploads of other creators' content are not eligible for Shorts revenue sharing | Fewer recommendations for reels with logos or watermarks, or that are not your own original video | Sources, verified 2026-10-26. TikTok: [camera tools](https://support.tiktok.com/en/using-tiktok/creating-videos/camera-tools), [creator tools and TikTok Studio](https://support.tiktok.com/en/using-tiktok/creating-videos/creator-tools-on-tiktok), [Creator Rewards Program](https://support.tiktok.com/en/business-and-creator/creator-rewards-program), [how TikTok recommends videos](https://newsroom.tiktok.com/en-us/how-tiktok-recommends-videos-for-you), [For You feed eligibility standards](https://www.tiktok.com/community-guidelines/en/fyf-standards). YouTube: [three-minute Shorts](https://support.google.com/youtube/answer/15424877), [Shorts discovery](https://support.google.com/youtube/answer/11914225), [YPP eligibility](https://support.google.com/youtube/answer/72851), [Shorts monetization policies](https://support.google.com/youtube/answer/12504220), [YouTube Analytics](https://support.google.com/youtube/answer/9002587). Instagram: [record a reel](https://help.instagram.com/270963803047681), [reel size and aspect ratios](https://help.instagram.com/1038071743007909), [what kind of reels you may see](https://help.instagram.com/1525585517644948), [reel insights](https://help.instagram.com/202865988324236). Three footnotes: - **TikTok's pages disagree on uploads.** The camera page says 60 minutes in the app; the TikTok Studio page lists 30 minutes for web uploads. - **YouTube's 3 minutes** applies to uploads from 15 October 2024. A Short over one minute with an active Content ID claim is blocked worldwide. - **Instagram's 20 minutes** replaces the 3-minute cap our September posts cited. Three minutes remains the practical ceiling for reach. None of these caps tells you how long a clip should be. We answer that with pipeline data in [how long a clip should be on each platform](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/). ## How does each platform decide who sees your clip? All three rank on how viewers react. They differ in how readily they show your clip to people who don't follow you. ### How does the TikTok For You feed work? TikTok's newsroom explainer from June 2020 says recommendations draw on viewer interactions, video details such as captions, sounds and hashtags, and device and account settings. Strong signals, like a viewer finishing a longer video, count for more than weak ones, like viewer and creator being in the same country. The key line for new accounts: neither follower count nor past high-performing videos are direct factors. The limit is TikTok's For You feed eligibility standards, which exclude unoriginal content such as video carrying someone else's visible watermark. ### How does the YouTube Shorts feed rank Shorts? YouTube ranks Shorts on performance and personalisation. The performance signals it names are the share of viewers who chose to watch, average view duration and average percentage viewed, plus likes and post-watch surveys. Two details favour channel builders: subscribers see your recent Shorts in the Subs tab, and YouTube says Shorts performance does not hurt your long-form recommendations. ### How does Instagram decide which Reels to recommend? Instagram suggests reels based on the accounts a viewer follows and the reels they recently engaged with. It shows fewer reels that are blurry, carry logos or watermarks, are mostly text, or are not the poster's own video. Followers still see those reels. Adam Mosseri's [ranking explainer](https://about.instagram.com/blog/announcements/instagram-ranking-explained) from May 2023 ranks the viewer's own activity first, then their history with you. For accounts without followers, [trial reels](https://help.instagram.com/1013292530224018) let a professional account show a reel to non-followers only, read insights within 24 hours, and share it to followers later, or automatically if it gets a lot of views in 72 hours. ## Which platform pays creators, and from what threshold? | Platform | Program | Entry threshold | What pays | |---|---|---|---| | TikTok | Creator Rewards Program | 18 or older, personal account, 10,000 followers, 100,000 video views in 30 days, eligible country | Videos at least 1 minute long | | YouTube | YPP, fan funding tier | 500 subscribers, 3 public uploads in 90 days, plus 3,000 watch hours in 12 months or 3 million Shorts views in 90 days | Memberships, Super Chat, Super Thanks, Shopping | | YouTube | YPP, revenue sharing | 1,000 subscribers, plus 4,000 watch hours in 12 months or 10 million Shorts views in 90 days | Shorts feed ads, of which creators keep 45% of their allocation | | Instagram | Gifts | Professional account, 18 or older, 500 followers, eligible country | Viewers' Stars, at USD 0.01 each | | Instagram | Subscriptions | Professional account, 18 or older, 10,000 followers | Monthly subscribers | | Instagram | Bonuses | Invitation only, professional account | Instagram, during tests | Sources, verified 2026-10-26: YouTube's [expanded YPP](https://support.google.com/youtube/answer/13429240) page; Instagram's [Gifts](https://help.instagram.com/738469380549477), [Subscriptions](https://help.instagram.com/478012211024479), [Bonuses](https://help.instagram.com/331274061770840) and [monetisation tools](https://help.instagram.com/427415519366046) pages; and the TikTok and YouTube pages linked under the first table. What the table flattens: - **YouTube's bar rises on 1 February 2027.** Per YouTube's [YPP changes page](https://support.google.com/youtube/answer/12843009), new creators will need 1,000 subscribers plus 8,000 watch hours in 365 days or 20 million Shorts views in 90 days. Earning from the Shorts Creator Pool will need 10 million Shorts views every 90 days. Current members keep their status, and fan funding thresholds stay the same. - **Shorts don't earn watch hours.** Shorts feed watch time doesn't count toward the 4,000 hours. - **Instagram has no ad share.** Its monetisation page lists Badges, Bonuses, Creator Marketplace, Gifts and Subscriptions, so the money comes from viewers, brands or invite-only tests. ## Which platform is best for new creators with no audience? TikTok. It is the only one of the three that states in writing that follower count is not a direct ranking factor, so a new account's first video is judged on viewer reactions. Instagram's trial reels come closest, though they need a professional account. YouTube Shorts also ranks on performance, so post there too. Two cautions. Reach comes long before pay: TikTok's Creator Rewards needs 10,000 followers, and only videos of a minute or more earn. And keep the TikTok account personal, because business accounts can't join Creator Rewards. ## Which platform is best for long-term channel growth? YouTube Shorts. A Short lives on the same channel as your long-form videos, so a subscriber it earns sees your next Shorts in the Subs tab and your long videos on the same page. YouTube says a weak Short can't hurt long-form recommendations, which makes experimenting cheap. The money follows the channel. YouTube is the only one of the three that publishes a share of short-form feed ad revenue: 45% of your allocation. Its fan funding tier opens at 500 subscribers. Plan for 2027, though: from 1 February, a Shorts-only route into YPP needs 20 million Shorts views in 90 days, so long-form uploads become the realistic route for most new channels. ## Which platform is best for local or brand-led businesses? Instagram Reels, for four reasons from Instagram's own pages: 1. **Professional accounts get the tools.** Boosting, trial reels, Gifts and Subscriptions all need a business or creator account. 2. **A reel can carry a location**, added when you share it. 3. **Existing relationships count.** Instagram's ranking explainer puts the viewer's history with your account second among Reels signals. 4. **Polish is rewarded.** Blurry, text-heavy or watermarked reels get recommended less, so a brand that shoots clean video starts ahead. The trade-off is less pure discovery than TikTok, so the same clip should still go to TikTok and Shorts. ## Can you post the same clip to TikTok, YouTube Shorts and Instagram Reels? Yes. No platform's repost rule targets your own original video appearing on another platform. They target watermarks, re-uploads of other people's work and unedited compilations. - **TikTok** keeps unoriginal content, including video with someone else's visible watermark or logo, out of the For You feed. - **YouTube** excludes re-uploads of other creators' content from Shorts revenue sharing, and its [reused content policy](https://support.google.com/youtube/answer/1311392) covers material repurposed without significant changes. Your own clip is neither. - **Instagram** recommends watermarked reels less, and its [original content guidelines](https://help.instagram.com/1800814370401535) say adding a watermark is not a material edit. A trial reel may also get limited reach if you already shared the same content on Instagram. So the risk is the file, not the second platform: a TikTok download carries TikTok's watermark. Upload one clean master natively everywhere instead, as laid out in [the clean-master workflow for reposting without getting flagged](/blog/repost-youtube-video-tiktok-without-getting-flagged/). ## How do you post one clip to all three without extra work? Four steps, with one file doing all the work: 1. **Export one clean master.** Vertical 9:16, no watermark, 1 to 3 minutes: at least a minute to earn on TikTok, at most three to count as a Short and stay recommendable on Reels. 2. **Upload that file natively everywhere.** Never re-upload a file downloaded from another platform. 3. **Change only the caption and cover per platform.** 4. **Compare analytics after a week** in TikTok Studio, YouTube Studio and Instagram reel insights, then put your replies and series ideas where the response is strongest. ScaleReach makes the clips for all three platforms, then publishes and schedules them to YouTube Shorts and Instagram Reels through the official APIs. TikTok is private-only until TikTok's audit: unaudited apps can only post privately, and ScaleReach's TikTok app has not passed that audit yet. Post TikTok clips by hand until it clears; see [which clip tools actually auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/). Scheduling starts on Starter: $12 a month, or $10 billed annually, with 200 minutes and one social account. Scheduling to both YouTube and Instagram needs two accounts, which means Pro: $18 a month, or $12.50 billed annually, with 400 minutes and 5 accounts. The Free plan's 100 free minutes produce watermarked clips with no scheduling. ## FAQ ### Which is better for beginners: TikTok, YouTube Shorts or Instagram Reels? TikTok is the best first platform for a beginner with no audience. TikTok states that follower count and past high-performing videos are not direct factors in its recommendations, so a new account's videos are judged on viewer reactions. Instagram's trial reels are next best, since they show a reel only to non-followers, but they need a professional account. Post the same clip to YouTube Shorts too, because Shorts also rank on performance and build a channel you keep. ### Should I post the same video on TikTok, Reels and Shorts? Yes, as long as each platform gets a clean file. TikTok, YouTube and Instagram write their repost rules against watermarks, other people's content and unedited compilations, not against your own video appearing elsewhere. The mistake is uploading your TikTok download to Reels and Shorts: Instagram recommends watermarked reels less, and TikTok keeps watermarked reproductions out of For You. Export one master without a watermark and upload it natively to all three. ### How long can a video be on TikTok, YouTube Shorts and Instagram Reels? TikTok accepts 60 minutes uploaded in the app, YouTube Shorts 3 minutes, and Instagram Reels 20 minutes. Two catches: TikTok's Studio page lists 30 minutes for web uploads, and Instagram says reels over 3 minutes won't be recommended to new audiences. A video longer than 3 minutes, or wider than square, counts as a regular YouTube video rather than a Short. All figures were verified on each platform's pages on 26 October 2026. ### How many followers do you need to get paid on TikTok, YouTube and Instagram? You need 10,000 followers on TikTok, 1,000 YouTube subscribers for ad revenue (500 for fan funding), and 500 followers for Instagram Gifts. TikTok also needs 100,000 views in 30 days and videos of at least a minute. YouTube adds 4,000 watch hours in 12 months or 10 million Shorts views in 90 days, rising to 8,000 hours or 20 million views for new creators from 1 February 2027. Instagram Subscriptions start at 10,000 followers. ### Does Instagram penalize reels with a TikTok watermark? Yes, in recommendations. Instagram's help centre says it shows fewer reels containing logos or watermarks, and its original content guidelines say adding a watermark is not a material edit. The reduction applies to suggested reels for people who don't follow you, while followers still see them. If you want reach beyond your followers, upload a clean file instead of a TikTok download. ### Is YouTube Shorts or TikTok better for growing a channel long term? YouTube Shorts is better for long-term channel growth. Shorts sit on the same channel as your long-form videos, subscribers see new Shorts in the Subs tab, and YouTube says Shorts performance does not hurt long-form recommendations. It also publishes a revenue share: 45% of your allocated Shorts feed ad revenue. TikTok's rule that follower count isn't a direct factor suits first reach, so post to both, and plan around YouTube's higher entry thresholds from 1 February 2027. ## The bottom line TikTok says follower count is not a direct ranking factor, which suits new creators. YouTube ties Shorts to a long-form channel and publishes the clearest revenue share. Instagram gives professional accounts the tools a local or brand-led business needs, but no ad revenue share. None of that forces a choice. Every platform's repost rules target watermarks and other people's content, not your own clip on another app. Pick a primary platform for your attention, keep one clean master between 1 and 3 minutes, and post it to all three. If a number here looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** Rewritten. Every limit and threshold now comes from each platform's own pages, read on 26 October 2026; TikTok's through a search index, because tiktok.com did not load for us. We removed unsourced view counts, audience descriptions no platform publishes, and per-platform clip lengths. Correction: the earlier version said Instagram would tank reach for TikTok watermarks. Instagram's wording is narrower: it recommends such reels less to non-followers, and followers still see them. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** YouTube's YPP changes on 1 February 2027; TikTok's conflicting 60 and 30 minute upload pages; Instagram's 3-minute recommendation cutoff; whether ScaleReach's TikTok app passes TikTok's audit. --- # How to Earn Money From YouTube Shorts in 2026: 5 Ways URL: https://www.scalereach.ai/blog/how-to-earn-money-from-youtube-shorts Published: 2026-04-10 · Author: Hevin K Tags: YouTube Shorts, Monetization, Short-Form Video, Content Repurposing To earn Shorts ad revenue today, your channel needs 1,000 subscribers and 10 million qualified Shorts views in the last 90 days, and once you are in, you keep 45% of what YouTube allocates to you from a pooled Shorts ad fund (Source: [support.google.com/youtube/answer/72851](https://support.google.com/youtube/answer/72851) and [answer/12504220](https://support.google.com/youtube/answer/12504220), verified 2026-10-26). That is one of five ways Shorts pay, and it has the highest bar. Fan funding and YouTube Shopping open at 500 subscribers in many countries. Sending viewers to your long-form videos or your own product needs no subscriber count at all. The rules also change on February 1, 2027, when the Shorts bar for new applicants doubles to 20 million views. Every threshold below links to YouTube's Help Center or the official YouTube Blog, checked on 26 October 2026. Several rules differ by country, and we flag each one. ## What are the 5 ways to earn money from YouTube Shorts? Shorts Feed ad revenue, fan funding, YouTube Shopping, brand deals, and sending viewers to long-form videos or your own product. | Method | What you need | How the money reaches you | Realistic for a small channel? | |---|---|---|---| | Shorts Feed ads (Creator Pool) | YPP: 1,000 subscribers plus 10M qualified Shorts views in 90 days or 4,000 long-form watch hours in 12 months | 45% of your share of a pooled monthly fund | No. Highest bar here | | Fan funding (Super Thanks, memberships) | YPP (500 subscribers in expanded-YPP countries), age 18+ | 70% of revenue after taxes and fees | Yes, from 500 subscribers | | YouTube Shopping | YPP; affiliate side in listed countries only | Own store: your retailer pays. Affiliate: brand-set commission, 60 to 120 days after purchase | Yes, from 500 subscribers | | Brand deals | None for direct deals. Creator Partnerships tab: YPP, age 18+, one of 24 countries | The brand pays, on terms you negotiate | Yes, for direct deals | | Funnel to long-form or your own product | Advanced features access | Long-form Watch Page ads, or your own sales | Yes. No subscriber minimum | Sources: [answer/94522](https://support.google.com/youtube/answer/94522), [answer/10878910](https://support.google.com/youtube/answer/10878910), [answer/13376398](https://support.google.com/youtube/answer/13376398), [answer/9385307](https://support.google.com/youtube/answer/9385307), [answer/14075157](https://support.google.com/youtube/answer/14075157) (all verified 2026-10-26). ## What are the YouTube Partner Program requirements for Shorts? The YouTube Partner Program (YPP) has two entry tiers, and which one you can use depends on where you live. | Tier | Subscribers | Plus one of these | Other requirement | What it opens | |---|---|---|---|---| | Expanded YPP (fan funding tier) | 500 | 3,000 qualified long-form watch hours in 12 months, or 3M qualified Shorts views in 90 days | 3 valid public uploads in the last 90 days | Channel memberships, Super Chat, Super Stickers, Super Thanks, Shopping | | Full YPP (ad revenue tier) | 1,000 | 4,000 qualified long-form watch hours in 12 months, or 10M qualified Shorts views in 90 days | None listed | The above, plus Watch Page ads, Shorts Feed ads, YouTube Premium revenue | Sources: [answer/94522](https://support.google.com/youtube/answer/94522) and [answer/13429240](https://support.google.com/youtube/answer/13429240) (verified 2026-10-26). The 500-subscriber tier only exists in the countries YouTube lists for the expanded program, including the United States, United Kingdom, India and Brazil. Elsewhere, the 1,000-subscriber path is the only way in. Four details trip people up (Source: [answer/72851](https://support.google.com/youtube/answer/72851) and [answer/2991785](https://support.google.com/youtube/answer/2991785), verified 2026-10-26): - **Only some Shorts views qualify.** A qualified view comes from a public Short in the Shorts Feed. Private, unlisted, deleted and ad campaign views do not count. - **Shorts watch time does not count toward 4,000 hours.** YouTube states that watch hours from Shorts views in the Shorts Feed "won't count towards the 4,000 qualified public watch hours threshold." - **Your public view counter is not the YPP number.** Since August 24, 2026, a view counts the moment a video starts to play. YouTube says earnings still use "engaged views" and eligibility still uses "qualified views." - **Hitting the number is not acceptance.** You also need 2-Step Verification, no active Community Guidelines strikes, a linked AdSense for YouTube account, and residence in a YPP country. Reviewers then check the whole channel, "typically in about 1 month." ## What changes for Shorts monetization on February 1, 2027? YouTube announced on August 10, 2026 the first significant changes to YPP since 2018, citing over 3 million creators in the program and over 200 billion daily Shorts views (Source: [blog.youtube](https://blog.youtube/news-and-events/youtube-partner-program-updates-2027-new-opportunities-earn/), verified 2026-10-26). Here are today's rules next to the new ones. | Rule | Today | From February 1, 2027 | |---|---|---| | Join the ad tier (new creators) | 1,000 subscribers plus 4,000 qualified watch hours in 12 months or 10M qualified Shorts views in 90 days | 1,000 subscribers plus 8,000 qualified watch hours in 365 days or 20M qualified Shorts views in 90 days | | Channels already in YPP | In the program | Keep their status | | Earn from the Shorts Creator Pool each month | Be in YPP and accept the Shorts Monetization Module | Also hold 10M qualified Shorts views over the last 90 days. Missing it does not remove you from YPP or affect long-form earnings | | Fan funding, Creator Partnerships, Shopping | 500 subscribers plus 3,000 watch hours or 3M qualified Shorts views | No change | Source: [answer/12843009](https://support.google.com/youtube/answer/12843009) and [answer/12504220](https://support.google.com/youtube/answer/12504220) (verified 2026-10-26). YouTube also adds a direct 45% share on Shorts ads targeted at five or fewer channels. Existing partners must accept the updated terms in YouTube Studio by January 31, 2027, or stop earning from those features on February 1. If you are close to 10M qualified Shorts views today, apply the day you qualify. ## How does the Shorts Creator Pool and 45% revenue share work? Shorts ads run between videos in the feed, not on your video, so YouTube pools the money and splits it in four steps (Source: [answer/12504220](https://support.google.com/youtube/answer/12504220), verified 2026-10-26): 1. **Pool.** Each month, revenue from ads between Shorts in the Shorts Feed is added together to pay creators and cover music licensing. 2. **Set aside music costs.** A Short with no music sends all its associated revenue to the Creator Pool. One track sends half to the pool. Two tracks send one third. 3. **Allocate by views.** The pool is divided by each creator's share of engaged views from monetizing creators' Shorts, country by country. Get 5% of those views and you are allocated 5% of the pool. 4. **Apply the revenue share.** You keep 45% of your allocation, whether or not you used music. Music shrinks the pool for everyone, but YouTube states your allocation "is not affected by your use of a music track." Views count only from the date you accept the Shorts Monetization Module, and Shorts over one minute with claimed content are blocked from monetization. YouTube does not publish a fixed Shorts rate per 1,000 views, and the pool changes by month and country. Your real rate is the RPM line in YouTube Analytics, calculated "per 1,000 engaged views" (Source: [answer/9314357](https://support.google.com/youtube/answer/9314357), verified 2026-10-26). Any fixed per-view figure you see elsewhere is a third-party estimate. ## Can you earn from Super Thanks and memberships on Shorts? Yes. Super Thanks works on Shorts and long-form videos: a viewer buys a one-time animation and gets a highlighted comment. Creators "get 70% of Super Thanks revenue recognized by Google," calculated after taxes and fees, including App Store fees on iOS (Source: [answer/10878910](https://support.google.com/youtube/answer/10878910), verified 2026-10-26). Channel memberships also pay 70% after taxes and fees, though creators in a multi-channel network may receive less (Source: [answer/9050176](https://support.google.com/youtube/answer/9050176), verified 2026-10-26). Every fan funding feature requires YPP, age 18 or over, and residence in a country where that feature is available. Each feature has its own country list (Source: [answer/13195878](https://support.google.com/youtube/answer/13195878), verified 2026-10-26). Super Thanks is unavailable on Shorts with a copyright claim or comments turned off (Source: [answer/10879035](https://support.google.com/youtube/answer/10879035), verified 2026-10-26). Super Chat and Super Stickers are for live streams and Premieres, not Shorts. ## How does YouTube Shopping work for Shorts creators? YouTube Shopping has two halves, and both let you tag products in Shorts (Source: [answer/12257682](https://support.google.com/youtube/answer/12257682), verified 2026-10-26). **Your own products.** Connect your merch store and tag your products in Shorts. Your retailer pays you; YouTube states that "YouTube and AdSense are not involved." You need YPP and no hate speech strikes. **Other brands' products.** The YouTube Shopping affiliate program pays a commission when a viewer buys a product you tagged. Each brand sets its rate. Commissions pay through AdSense for YouTube "within 60 to 120 days after purchase." YouTube currently passes 100% of affiliate commissions to creators as a temporary incentive and says rates may fall later, with at least 30 days' notice (Source: [answer/13376398](https://support.google.com/youtube/answer/13376398), verified 2026-10-26). Country rules are strict, and YouTube's own pages disagree: the affiliate eligibility list names 18 countries, including the United States, United Kingdom and India, while other Help Center pages list 14 or 12. Check the Earn tab in YouTube Studio. One Shorts-specific detail: plain URLs in Shorts descriptions and comments are not clickable, but Shopping affiliate links are (Source: [answer/13748639](https://support.google.com/youtube/answer/13748639), verified 2026-10-26). Pasting an affiliate link into a Short's description does nothing. Tagging the product does. ## How do brand deals on YouTube Shorts work? Brand deals reach Shorts creators two ways. **Direct deals.** A brand pays you on terms you negotiate. YouTube requires you to tick the paid promotion option in your video details, which adds a disclosure label (Source: [answer/154235](https://support.google.com/youtube/answer/154235), verified 2026-10-26). **YouTube Creator Partnerships.** This YouTube Studio tab lets brands find you and send inquiries. You need to be 18 or older, in YPP, based in one of 24 listed countries, and free of active strikes. YouTube notes that the "Earn" amount in an inquiry comes from the advertiser and is not a final offer (Source: [answer/9385307](https://support.google.com/youtube/answer/9385307), verified 2026-10-26). YouTube does not publish typical sponsorship rates for Shorts, so we do not quote any. ## Should your Shorts send viewers to long-form or your own product? Yes, for most channels, because long-form pays on a different model. Watch Page ads run "before, during, after, and around your videos," so long-form earns per video rather than from a shared pool (Source: [answer/94522](https://support.google.com/youtube/answer/94522), verified 2026-10-26). On YouTube Premium, creators receive 55% of their allocation for long-form against 45% for Shorts (Source: [blog.youtube](https://blog.youtube/news-and-events/youtube-partner-program-updates-2027-new-opportunities-earn/), verified 2026-10-26). The tool for this is the related video link. In YouTube Studio, open a Short and pick a related video from your channel. Viewers see "a clickable link below your channel handle." It needs advanced features access (Source: [answer/14075157](https://support.google.com/youtube/answer/14075157), verified 2026-10-26). Long-form watch time counts toward the 4,000-hour threshold, Shorts watch time never does, and from February 2027 long-form keeps earning when your Shorts fall below the 10M-view pool floor. The cleanest version: cut Shorts from your own long-form videos and set the full video as each Short's related video. YouTube's monetization policy lists "Content that primarily features the uploading creator in the video" as allowed. Our guide to [turning YouTube videos into Shorts without re-editing](/blog/how-to-turn-youtube-videos-into-shorts/) covers the workflow, and ScaleReach's [YouTube Shorts generator](/tools/youtube-shorts-generator-tool/) finds the AI-detected moments in a long video and cuts them into vertical, captioned clips. ## What gets a Shorts channel demonetized? Four policies remove Shorts earnings most often (Source: [answer/1311392](https://support.google.com/youtube/answer/1311392) and [answer/12843009](https://support.google.com/youtube/answer/12843009), verified 2026-10-26): - **Reused content.** Content repurposed "without adding significant original commentary, substantive modifications, or educational or entertainment value." The review covers your whole channel and applies even with the original creator's permission. - **Inauthentic content.** Renamed from "repetitious content" in July 2025, it names "AI-generated content made with generic or unoriginal templates giving the impression of mass production." - **Ineligible views.** Non-original Shorts, bot views, and Shorts that break the advertiser-friendly guidelines earn nothing from the pool. - **Inactivity.** YouTube may turn off monetization after 6 months without an upload or post. From February 2027, a channel counts as active with 1,000 qualified watch hours in 365 days, 1M qualified Shorts views in 90 days, or 2 long-form videos or 5 Shorts every 90 days. Volume is not the problem. YouTube's test is that "the substance of each video should be materially varied." Twenty Shorts from twenty different moments of your own podcast pass. Twenty near-identical template videos do not. ## Which way to earn should a small Shorts channel start with? Start with what your current numbers allow, then climb the thresholds in order: 1. **Under 500 subscribers.** Send viewers to long-form with related video links, sell your own product, and take direct brand deals. 2. **500 subscribers, 3 uploads and 3M qualified Shorts views in 90 days** (expanded-YPP countries). Turn on Super Thanks, memberships and Shopping. 3. **1,000 subscribers and 10M qualified Shorts views in 90 days.** Join the Creator Pool. New applicants need 20M from February 1, 2027. Every step depends on Shorts people watch instead of swiping past. [How to read a Shorts retention graph](/blog/youtube-shorts-retention-graph-good-vs-bad/) shows what that looks like in YouTube Studio. ## FAQ ### How many views do you need to get paid on YouTube Shorts? You need 10 million qualified Shorts views in the last 90 days, plus 1,000 subscribers, to join YPP's ad tier through Shorts today. Only public Shorts viewed in the Shorts Feed count. Fan funding and Shopping open earlier, at 500 subscribers plus 3 million qualified Shorts views in 90 days, in countries with the expanded YouTube Partner Program. The ad-tier bar for new applicants rises to 20 million on February 1, 2027. ### How much does YouTube pay per 1,000 Shorts views? YouTube does not publish a fixed rate. Shorts ad revenue is pooled each month, divided by each creator's share of engaged views in each country, and you keep 45% of your allocation. Because the pool size changes by month and by country, per-view earnings change too. Your own RPM, revenue per 1,000 engaged views, is in YouTube Analytics. Treat any single figure quoted online as a third-party estimate. ### Can you make money from YouTube Shorts without 1,000 subscribers? Yes. In countries with the expanded YouTube Partner Program, 500 subscribers, 3 public uploads in 90 days and 3 million qualified Shorts views in 90 days give you access to Super Thanks, channel memberships and Shopping. Below that, you can still sign direct brand deals with the paid promotion label, and use each Short's related video link to send viewers to long-form videos or your own product. ### What is YouTube changing for Shorts monetization in 2027? From February 1, 2027, new creators need 1,000 subscribers plus 8,000 qualified watch hours in 365 days or 20 million qualified Shorts views in 90 days to join YPP's ad tier. Channels already in YPP keep their status. To earn from the Shorts Creator Pool each month, every partner must hold 10 million qualified Shorts views over the last 90 days; missing it does not remove the channel from YPP or affect long-form earnings. Fan funding, Creator Partnerships and Shopping requirements do not change. ### Does using music in a Short lower my earnings? No, not your allocation. Music reduces how much revenue goes into the Creator Pool: one track sends half of that Short's associated revenue to music licensing, two tracks send two thirds. But YouTube allocates the pool by engaged views regardless of music, and you keep 45% either way. Separately, a Short longer than one minute that contains claimed content is blocked from monetization. ### Can I monetize Shorts made from other people's videos? Only if you transform them. YouTube's reused content policy excludes content repurposed without significant original commentary, substantive modifications, or educational or entertainment value. It applies to your whole channel, even with the original creator's permission. Critical reviews, reactions with commentary, and edits that add a storyline are listed as allowed. Clipping your own long-form videos is the safe version. ## The bottom line Shorts pay five ways, and ad revenue is the hardest to reach: 1,000 subscribers and 10 million qualified Shorts views in 90 days today, 20 million for new applicants from February 1, 2027, then a 45% share of a pooled fund. Fan funding and Shopping open at 500 subscribers in expanded-YPP countries. Direct brand deals and the related video funnel need no threshold. For a small channel, the Creator Pool is the last step, not the first. --- ## Changelog **October 2026 update.** Rewritten against YouTube's Help Center and the official YouTube Blog. We removed a Shorts RPM range ($0.01 to $0.07 per view), brand deal rate ranges, earnings projections and third-party clipping campaign figures from the April 2026 version, because none could be sourced to YouTube or another primary source. We corrected the advice to put affiliate links in Shorts descriptions, since YouTube makes those URLs non-clickable. We added the 500-subscriber tier and the February 1, 2027 changes. If a number here looks wrong, tell us at hevin@scalereach.ai. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 --- # How to Turn YouTube Videos Into Shorts Without Re-Editing Everything URL: https://www.scalereach.ai/blog/how-to-turn-youtube-videos-into-shorts Published: 2026-03-16 · Author: Hevin K Tags: YouTube Shorts, Workflow, Video Repurposing Real talk - if you're still scrubbing through your entire YouTube video every time you want to make a Short, you're doing it wrong. That's not a workflow. That's a punishment. The creators who are actually consistent with Shorts aren't better editors. They just have a system that doesn't make them want to throw their laptop out the window. If you're starting from zero subscribers, this workflow is the engine of [growing a new YouTube channel with AI clips](/blog/how-to-grow-youtube-channel-from-zero-using-ai-clips/). ## Not every video deserves the Short treatment Some videos just aren't it. If your video needs 10 minutes of context before anything interesting happens, that's a long-form banger - not a Shorts goldmine. The videos that slap as Shorts usually have: - Clear standalone moments (tutorials with steps, hot takes, reactions) - Quotable lines that hit without context - Energy shifts - the moment the vibe changes If the video is one long monotone explainer... maybe skip it bestie. ## Read the transcript, not the timeline Here's the cheat code nobody talks about: **scan the transcript first**. Don't scrub the video. Read the words. You're looking for lines that already sound like hooks: - "Most people get this completely wrong" - "What changed everything for us was..." - "The mistake nobody notices" - "We stopped doing X and here's why" That first pass takes 2 minutes instead of 20. This is exactly why [YouTube to Shorts](/tools/youtube-shorts-generator-tool/) exists - you start from candidate moments, not a blank timeline. ## The first sentence is the whole game A Short doesn't get the luxury of a slow intro. If your first line sounds like "So today we're going to talk about..." - it's already dead. The viewer decides in literally one second. ONE. SECOND. Your clip needs to open on tension, surprise, or a claim so specific they can't scroll past it. Not fake urgency. Just... get to the point faster than you think you need to. Usually that means starting the clip a sentence later, not writing a new line; the data behind that is in [how to hook viewers in the first 3 seconds](/blog/how-to-write-a-hook-for-short-videos/). ## Vertical isn't just "smaller" - it's different Lazy crops kill good clips. When you [go from 16:9 to 9:16](/blog/convert-landscape-video-to-vertical/), you need to actually think about: - Is the speaker's face still visible (and not cut off at the forehead)? - Do the captions have room to breathe? - Can you still read any on-screen text or demos? - Do the pauses feel too long now that it's a Short? Good Shorts feel like they were born vertical. Bad ones feel like someone took a screenshot of a YouTube video and called it content. ## Captions aren't optional anymore 85% of people watch with sound off. If your Short has no captions, you're basically posting a silent film and hoping for the best. Keep it simple: - What is this about? - Why should I care? - What happens if I keep watching? If the clip answers those three questions fast, you've got something. ## Batch it or forget it The biggest L is making one Short, posting it, feeling accomplished, and then never making another one from that video. You had 45 minutes of content and you pulled ONE clip? Come on. Here's the move: 1. Pull 10-15 candidate moments from one video 2. Keep the 3-6 that actually slap 3. Clean captions, framing, and hooks in one session 4. Schedule the whole batch That's how one YouTube upload becomes a week of Shorts instead of one nice clip and five forgotten ideas sitting in your drafts forever. Want to run it every week? Here's [how to batch a month of Shorts in one afternoon](/blog/batch-a-month-of-shorts-in-one-afternoon/). If you would rather run the pull-and-schedule loop from a chat window, [Claude or Cursor can do it through the ScaleReach MCP server](/blog/clip-youtube-videos-with-claude-mcp/). Once your clips are clean and vertical, the obvious next move is posting them to TikTok and Reels too. Read [how to repost without getting flagged](/blog/repost-youtube-video-tiktok-without-getting-flagged/) before you do — the watermark rules decide whether those reposts reach anyone. --- # Podcast to TikTok Workflow: 7 Steps From Episode to Post URL: https://www.scalereach.ai/blog/podcast-to-tiktok-workflow Published: 2026-03-14 · Author: Hevin K Tags: Podcasting, TikTok, Workflow, Content Repurposing A finished podcast episode is one long horizontal file. A TikTok post is a vertical clip with captions, a cover and a description. Getting from one to the other takes seven steps, and the upload is not the hard part. TikTok Studio, TikTok's web uploader, accepts MP4 or WebM files of at least 720x1280 pixels, up to 30 minutes long and under 10 GB ([TikTok Support](https://support.tiktok.com/en/using-tiktok/creating-videos/creator-tools-on-tiktok), verified 2026-10-26). A podcast clip is nowhere near those caps. The work is in choosing the moment, fitting two or three people into a narrow frame, and packaging the clip so a stranger stops. This guide covers 2-person, 3-person and audio-only shows and ends with a weekly checklist. Clip length, clip yield and growth strategy have their own posts, linked below. Disclosure: ScaleReach publishes this post and makes an AI clip maker that automates several of these steps. The workflow works with any tool. ## What is the podcast to TikTok workflow, step by step? The podcast to TikTok workflow is the repeatable path from a finished episode file to scheduled TikTok posts. Seven steps, in order: 1. **Export and upload** the full episode at the highest resolution you recorded. 2. **Find the moments** that make sense without the rest of the episode. 3. **Reframe** each moment from 16:9 to 9:16, with a layout that fits how many people are talking. 4. **Caption** every clip so it works with the sound off. 5. **Package** it for TikTok: hook text, cover, description and hashtags. 6. **Post or schedule** it from TikTok Studio. 7. **Review** each clip after 48 hours and use what you learn in next week's picks. An AI clip maker, ScaleReach included, handles steps 2 to 4 in one pass: AI-detected moments with a viral score, a reframe to 9:16 and burned-in captions. Steps 1, 5, 6 and 7 stay with you either way. ## How do you export a podcast episode for TikTok clips? Export the full episode as one video file, at the resolution you recorded, with the final mixed audio. Three details decide how good the clips can look. **Use the master file, not the published upload.** The version on YouTube has already been compressed once. Clipping it compresses it again. **Upload the whole episode, not a highlight reel.** A moment-finder needs the full conversation to choose from. For a realistic count of what one episode returns, see our measured data on [how many clips a one-hour podcast produces](/blog/how-many-clips-from-a-one-hour-podcast/). **Record with more resolution than the export needs.** A 9:16 crop from a 1920x1080 frame is only about 608x1080 pixels, so filling a 1080x1920 TikTok frame means scaling it up about 1.8 times, which softens faces. From a 3840x2160 (4K) recording, the same crop is about 1215x2160, enough for 1080x1920 with no upscaling. On ScaleReach, an upload uses minutes equal to its length in source video. Here is how our plans map to a weekly show: | Plan | Annual billing | Monthly billing | Source minutes | One 45-minute episode a week | |---|---|---|---|---| | Free | $0 | $0 | 100 free minutes, watermarked | Does not fit: uploads are capped at 30 minutes | | Starter | $10/mo | $12/mo | 200 per month | Fits: about 195 minutes a month | | Pro | $12.50/mo | $18/mo | 400 per month | Fits, with room for longer episodes | | Agency | $49/mo | $99/mo | 5,000 per month | Built for many shows at once | Source: ScaleReach pricing (verified 2026-10-26). A weekly show averages 4.3 episodes a month: about 195 minutes at 45 minutes each, or 260 at 60 minutes, which means Pro. ## How do you find the best TikTok moments in a podcast episode? Pick moments a stranger can follow with no context, that start on a claim instead of a setup, and that end on a payoff. Most good podcast clips do one of four jobs: - **The hot take.** A claim people will agree or argue with in the comments. - **The tactical tip.** Something a viewer can use the same day. - **The story with a turn.** A setup and a payoff, both inside the clip. - **The quotable line.** A sentence that still works as on-screen text with the sound off. Listen for energy: the voice speeds up, two hosts disagree, or a strong statement gets backed up. Flat segments belong in the full episode. Run three checks before a moment becomes a clip: 1. **The cold-open test.** Play the first five seconds to someone who has never heard the show. If they need to know who "he" is or what "that" refers to, start later or pick another moment. 2. **The windup test.** Cut everything before the first interesting sentence. 3. **The ending test.** End on the payoff line. A clip that keeps running after the point lands loses the viewers who stayed for it. How long each clip should run is its own question, and our [podcast clip length breakdown for TikTok, Reels and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) has the numbers. One TikTok rule changes where you set the end point: in the Creator Rewards Program, only videos at least one minute long qualify ([TikTok Support](https://support.tiktok.com/en/business-and-creator/creator-rewards-program), verified 2026-10-26). ## How do you reframe a 2-person video podcast to 9:16? Use a stacked split screen when both people are talking or reacting, and a single-speaker crop when one person holds the floor for the whole clip. Split top and bottom, a 1080x1920 frame gives each speaker a 1080x960 panel, close to square, which suits a head-and-shoulders shot. | Layout | Best for | Watch out for | |---|---|---| | Active-speaker crop | One person talking for most of the clip | Cuts that jump every few seconds when speakers trade short lines | | Stacked split screen (2 panels) | Back-and-forth, reactions, disagreement | Different framing or lighting between the two cameras | | Speaker switching | A 3-person panel where one or two people drive the clip | A cut to someone who is not talking | | Wide shot with blurred fill | A beat where everyone reacts at once | Small faces; use it for seconds, not the whole clip | Three rules keep a split screen looking intentional instead of rescued from a video call: - **Match the panels.** Same face size and headroom in both halves. - **Put captions on the seam.** It is the one place captions cover neither face. - **Hold the crop still.** A frame that drifts while the speaker sits still reads as a mistake. ### How do you reframe a 3-person podcast? Cut between speakers instead of stacking three panels. At 1080x1920, three equal panels are 1080x640 each, wider than they are tall, which shrinks every face. Use an active-speaker crop for whoever is talking, a two-panel stack when two people trade lines, and the wide shot only when all three react at once. ## How do you turn an audio-only podcast into a TikTok? Make the captions the main visual. With no face to hold attention, the frame needs three things: large burned-in captions in the middle of the screen, something that moves (a waveform or a progress bar), and a still image that shows who is talking, such as a guest photo or the show's cover art. Build one template and change only the image and the words for each clip. Export at 1080x1920, above TikTok Studio's 720x1280 minimum. With no face on screen, the hook text does more of the work. ## How should you caption podcast clips for TikTok? Burn the captions into the video, pick one style, and proofread every clip before it ships. - **One style, locked.** One font, one emphasis color, one position, one animation. Redesigning every week slows the pipeline. - **Keep clear of TikTok's interface.** The username and description sit along the bottom, and the like, comment and share buttons sit on the right edge. Keep captions in the middle band of the frame. - **Show who is speaking.** In a 2-person clip, give each host a caption color, or let the split-screen position do it. - **Proofread the hard words.** Guest names, brand names, numbers and jargon are where automatic transcription slips. ## How do you package a podcast clip for TikTok? Package every clip with four things: hook text in the opening seconds, a cover, a searchable description and a few specific hashtags. Each does a different job. | Element | What it does | What to put there for a podcast clip | |---|---|---| | Hook text | Stops the scroll in the opening seconds | The claim or the payoff in under 10 words, not the show name | | Cover | Previews the video on your profile and in search results | A frame with a clear face plus a short label, same template every time | | Description | Tells viewers and TikTok search what the clip is about | One sentence on the topic in searchable words, then where to find the full episode | | Hashtags | Groups the clip with a topic | The topic, the guest's field and your show name, not generic tags | **Hook text.** Sometimes the first spoken line is already the hook. When it needs setup, add one line of on-screen text, such as "Why we stopped running ads". You need a clear reason to stay, not clickbait. **Cover.** TikTok describes the cover as the thumbnail that previews your video in places like your profile and search results, and you select it before posting ([TikTok Support](https://support.tiktok.com/en/using-tiktok/creating-videos/editing-posting-and-deleting), verified 2026-10-26). Use the same label style on every cover so your profile reads as one show. **Description.** Write the first line the way someone would search for the topic. TikTok's Creator Search Insights shows topics people search for on TikTok, and its content gap filter surfaces searched topics that may lack content ([TikTok Support](https://support.tiktok.com/en/using-tiktok/growing-your-audience/creator-search-insights), verified 2026-10-26). Check your descriptions against it. ## How do you post and schedule podcast clips on TikTok? Post from TikTok Studio on the web. TikTok lists uploading, scheduling and editing posts among Studio's tools, and says features such as content management and analytics are best used in a web browser ([TikTok Support](https://support.tiktok.com/en/using-tiktok/creating-videos/creator-tools-on-tiktok), verified 2026-10-26). **Scheduling.** TikTok's announcement of its video scheduler set the window at 15 minutes to 10 days ahead ([TikTok for Business](https://www.tiktok.com/business/en/blog/introducing-video-scheduler-now-you-can-plan-tiktoks-in-advance), verified 2026-10-26). That announcement is several years old, so confirm the current window in your date picker. Even 10 days covers a weekly routine. **Posting through another tool.** Ask one question first: has its TikTok app passed TikTok's audit? TikTok restricts all content posted by unaudited apps to private viewing, and an unaudited app can let at most 5 users post in any 24-hour window ([TikTok for Developers](https://developers.tiktok.com/doc/content-sharing-guidelines), verified 2026-10-26). ScaleReach's own TikTok posting is not available for public posts today, so with our tool you download the MP4 and upload it in TikTok Studio. **The 48-hour review.** After 48 hours, check each clip in Studio's analytics: did viewers stay past the opening? Use that to choose next week's moments. How often to post, and where else the same clip belongs, are growth questions. We cover both in [how to grow a podcast with short clips](/blog/how-to-grow-a-podcast-with-short-clips/). ## What does a weekly podcast to TikTok checklist look like? Here is the weekly routine for turning one 45 to 60 minute episode into five TikToks. The times are planning estimates for someone using an AI clip maker for steps 2 to 4, not measured averages. | Day | Step | Time budget | Done when | |---|---|---|---| | Day 1 | Export the master file and upload the full episode | 10 minutes, plus processing | The episode is uploaded and transcribed | | Day 1 | Review moments and pick five clips | 30 minutes | Five clips pass the cold-open, windup and ending tests | | Day 1 | Check each reframe and fix bad crops | 15 minutes | No cut-off faces, no drifting crops | | Day 1 | Proofread captions | 15 minutes | Names, numbers and jargon are correct | | Day 2 | Write hook text and set covers | 20 minutes | Every clip has a hook line and a cover | | Day 2 | Write descriptions and hashtags | 15 minutes | Every description names the topic in searchable words | | Day 2 | Upload and schedule in TikTok Studio | 20 minutes | Five posts are scheduled across the week | | Day 4 | Review the first clips after 48 hours | 10 minutes | One note on what held viewers | That adds up to about 2 hours 15 minutes a week. Doing steps 2 to 4 by hand adds scrubbing and cropping time we have not measured, so we give no number for it. ## FAQ ### How do I turn a podcast episode into TikTok clips? Upload the full episode to a clip maker or an editor, pick moments that stand on their own, reframe them to 9:16, burn in captions, then package and post each clip from TikTok Studio. For a weekly show, plan on about 2 hours 15 minutes for five clips when an AI clip maker handles moments, reframing and captions. That is a planning estimate, not a measurement. ### How do you fit two podcast hosts into a vertical TikTok? Use a stacked split screen, one host on top and one below, when both are talking or reacting. Split in half, a 1080x1920 frame gives each host a 1080x960 panel, close to a square head-and-shoulders shot. When one host holds the floor for the whole clip, switch to a single-speaker crop. Put captions on the seam so they cover neither face. ### Can you post an audio-only podcast on TikTok? Yes, as an audiogram: a 1080x1920 frame with a still image of the speaker or your cover art, a moving waveform or progress bar, and large burned-in captions in the middle of the screen. With no face on screen, the captions and the hook text carry the clip. Build one template and change only the image and the words for each clip. ### What file format and size does TikTok accept for uploads? TikTok Studio accepts MP4 or WebM files at 720x1280 pixels or higher, up to 30 minutes long and under 10 GB, according to TikTok's support page, verified 2026-10-26. For podcast clips, export MP4 at 1080x1920, a 9:16 frame above the minimum. A clip sits far below the length and size caps. ### Can I schedule podcast clips on TikTok? Yes. TikTok Studio lists scheduling alongside uploading and editing posts, and TikTok's scheduler announcement set the window at 15 minutes to 10 days ahead. That announcement is several years old, so confirm the window in your date picker. Third-party tools can also post, but TikTok restricts content from unaudited apps to private viewing, so ask whether a tool's TikTok app is audited. ### How long does a podcast to TikTok workflow take each week? Plan on about 2 hours 15 minutes a week to turn one 45 to 60 minute episode into five clips, if an AI clip maker handles moments, reframing and captions. Picking the clips is the largest block, about 30 minutes. These are planning estimates, not measured averages. Cutting by hand takes longer, and we have not timed it. ## The bottom line The podcast to TikTok workflow is seven steps: export, find moments that stand alone, reframe to 9:16, caption, package, post, and review after 48 hours. TikTok's limits are not the constraint; a clip uses a sliver of TikTok Studio's 30 minutes and 10 GB. The constraint is your weekly time. Lock your templates for layouts, captions and covers, and the routine settles at about 2 hours 15 minutes for five clips. If a number here looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** Rewritten as a step-by-step workflow with a weekly checklist. TikTok facts were read on 26 October 2026 through a search index of TikTok's own pages, because support.tiktok.com did not load for us directly. Removed an unsourced claim from the earlier version about how many weeks of posts one episode fills. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 **Update hooks:** TikTok Studio's upload limits; TikTok's scheduling window; whether ScaleReach's TikTok posting opens to public posts; plan prices. --- ### About the author *Hevin K runs ScaleReach, an AI clip maker that turns long videos into captioned vertical clips. Every fact here is dated where cited.* --- # Webinar to LinkedIn Clips: From Recording to Post URL: https://www.scalereach.ai/blog/webinar-to-linkedin-clips Published: 2026-03-12 · Author: Hevin K Tags: Webinar Clips, LinkedIn, B2B Marketing, Content Repurposing, Captions LinkedIn caps a native video post from a member profile at 15 minutes, and its spec page for company Pages lists 10. A 60-minute webinar is four times the longer limit, so it cannot go into the feed as it is. It has to be cut. That works in your favour: LinkedIn's own video advice names "snippets from a recent webinar" as a format worth running. This post covers one job: turning a recorded B2B webinar into native LinkedIn video clips. That means the workflow, which moments to cut, the specs, captions for muted autoplay, how many clips to expect and a posting cadence. For LinkedIn growth in general, including profile setup and why clip shape matters on a desktop feed, read [how to grow on LinkedIn with video clips](/blog/how-to-grow-on-linkedin-with-video-clips/). This one stays on the webinar. Every LinkedIn number below comes from LinkedIn's own pages, read on 26 October 2026. I have not run a controlled test of webinar clips on LinkedIn, so recommendations here come with reasoning, not invented benchmarks. ## The short answer > **Cut, don't upload.** A full webinar is over LinkedIn's 15-minute member limit and the 10-minute Pages limit. Clips are not. > > **Pick moments by buyer question.** Q&A answers, market shifts and objections handled live make clips. Housekeeping does not. > > **Caption every clip.** LinkedIn says feed videos can play automatically without sound. > > **Post at least weekly.** Two clips a week turns one webinar into a month of posts. > > **Bottom line:** cut by question, caption for silent viewing, and queue the batch before the topic goes cold. ## Why can't you post a full webinar recording on LinkedIn? Length is the first reason. LinkedIn's [video sharing troubleshooting page](https://www.linkedin.com/help/linkedin/answer/a548372) sets a 15-minute maximum for video posts, and its [video specifications for LinkedIn Pages](https://www.linkedin.com/help/linkedin/answer/a1311816) lists 10 minutes. An hour-long webinar is four times the member limit, so the full recording belongs on your site, YouTube or a replay page. The second reason is how the feed plays video. LinkedIn's [autoplay settings page](https://www.linkedin.com/help/linkedin/answer/a565326) says some videos "may play automatically without sound" as people scroll. LinkedIn's [video ad best practices](https://business.linkedin.com/marketing-solutions/success/best-practices/video-ad-tips) tell advertisers to establish their point in the first 5 seconds. The first 5 seconds of a webinar recording are often someone asking if everyone can hear them. So the work is extraction: find the minute a buyer would forward to a colleague, cut everything around it, and make it readable with the sound off. ## How do you turn a webinar recording into LinkedIn clips, step by step? Seven steps. The first happens before you go live; if the webinar is already recorded, start at step 2. 1. **Record for the crop.** A gallery view or slides-only recording gives a square or vertical crop no face to follow. If your webinar platform can save the speaker and the shared screen as separate files, turn that on. 2. **Get a transcript with timestamps.** Scanning text is faster than scrubbing an hour of video. Mark every moment that answers a question a buyer would ask. 3. **Pick moments by buyer question.** Use the table in the next section. Each clip gets one job: reach, proof, objection handling or a pointer to the replay. 4. **Trim to one complete thought.** Start on the sentence that names the problem. End before the speaker repeats themselves or says "and that brings me to my next slide". 5. **Choose a ratio per clip.** Slide-led and speaker-led moments need different crops. 6. **Add captions.** Burned-in, an SRT file, or LinkedIn's auto captions. Each has a catch. 7. **Write the post and schedule it.** Put the question in the first line, credit the speaker, and link to the full replay. Steps 2 to 6 are the slow part by hand. An AI clip tool such as our [webinar to shorts generator](/tools/webinar-to-shorts-generator/) can propose moments and crops for you to review, but the judgement in step 3 stays with you. A tool does not know which objection your sales team hears every week. Before posting, get the guest speaker's agreement to be clipped, and crop out attendee names in the chat or Q&A panel. ## Which webinar moments make the best LinkedIn clips? Clip by the questions a buyer is already asking, not by which bits sound polished. A clip that answers a real question comes with a ready-made first line for the post: the question itself. | Webinar moment | Where it usually sits | Clip job | Who reuses it | |---|---|---|---| | A sharp answer to an audience question | Live Q&A | Proof the speaker understands the problem | Speaker's profile, sales follow-up | | A market shift with a number on a slide | Opening section | Reach: the "what changed" clip | Company Page, founder repost | | Why the old approach fails | Middle of the talk | Point of view | Speaker's profile | | The first step a team should take | End of each agenda point | Tactical clip for practitioners | Newsletter, nurture email | | An objection named and answered | Q&A or demo | Objection handling | Sales sequences | | The one-line summary | Wrap-up | Recap that points to the replay | Replay promotion | The live Q&A is often the easiest section to clip, for a structural reason: answers there are short, unscripted and already framed around a question someone typed. Cut these every time: - Welcome, housekeeping and "can everyone see my screen" - Sponsor reads and speaker bios - Poll pauses - Demo segments that only land if you can read small UI text - Anything that refers back to "what I showed earlier" A good B2B clip names a problem, adds context, gives one takeaway, and stops. If it needs the previous ten minutes to make sense, it is not a clip. ## What are LinkedIn's video specs for webinar clips? LinkedIn publishes separate specs for member posts and company Pages. Webinar clips often go out from both, so here they are side by side. | Spec | Member profile post | LinkedIn Page post | What it means for a webinar clip | |---|---|---|---| | Max length | 15 minutes | 10 minutes | A full webinar is over both; clips are not | | Min length | 3 seconds on desktop, 2 in the mobile app | 3 seconds | Not a constraint | | File size | 75 KB to 5 GB | 75 KB to 5 GB | Not a constraint for clips | | Aspect ratio | 1:2.4 to 2.4:1 | 1:2.4 to 2.4:1 | 16:9, 1:1, 4:5 and 9:16 all fit | | Resolution | 256x144 to 4096x2304 | 256x144 to 4096x2304 | A 1080p export sits inside the range | | Frame rate | 10 to 60 fps | 10 to 60 fps | Keep the recording's frame rate | | File types | MP4, MOV, WEBM, MKV and others | MP4, H264 and others; MOV no longer supported | Export MP4 | Source: LinkedIn Help, [Video sharing troubleshooting](https://www.linkedin.com/help/linkedin/answer/a548372) for member posts and [Video specifications for your LinkedIn Pages and Career Pages](https://www.linkedin.com/help/linkedin/answer/a1311816) for Pages (both verified 2026-10-26). The two pages disagree on MOV, and the Pages one was marked as last updated four years ago. Export MP4 and the disagreement never affects you. LinkedIn's [video ad specs](https://www.linkedin.com/help/linkedin/answer/a424737) are a third document: 3 seconds to 30 minutes and up to 500 MB (verified 2026-10-26). They apply only if you put budget behind a clip. ## Which aspect ratio should a webinar clip use on LinkedIn? Choose by what is on screen during the moment, not by platform habit. Every common ratio fits LinkedIn's organic range of 1:2.4 to 2.4:1, roughly 0.42 to 2.4 as width divided by height. What matters is what each crop does to webinar footage, which is usually a widescreen slide with a small speaker tile. | Ratio | Width ÷ height | Best for | What it does to webinar footage | |---|---|---|---| | 16:9 | 1.78 | Slide-led moments: charts, frameworks, data | Keeps the full slide; the speaker stays small | | 1:1 | 1.00 | Speaker answering a question | Cuts the sides off a widescreen slide | | 4:5 | 0.80 | Speaker-led clips | Loses more slide width than 1:1 | | 9:16 | 0.56 | Speaker-only clips you also post to Shorts or Reels | Slide text becomes unreadable unless the layout is rebuilt | LinkedIn marks 4:5 as its recommended vertical ratio on the [ad specs page](https://www.linkedin.com/help/linkedin/answer/a424737). That is ad guidance; organic posts accept the full range. My rule: if the point of the moment is on the slide, keep 16:9 or rebuild the frame with the slide on top and the speaker below. If the point is what the speaker says, crop to the speaker. A 9:16 crop of a chart slide is an easy way to ruin a clip: it keeps the speaker's elbow and drops the number the clip was about. On length, LinkedIn's ad best practices put "snippets from a recent webinar" in the long category, 1 minute and up, and reserve 5 to 15 seconds for teasers. Cut each clip at the end of one complete answer. ## Do LinkedIn webinar clips need captions? Yes. LinkedIn's [autoplay page](https://www.linkedin.com/help/linkedin/answer/a565326) says feed videos can play without sound, and its [video ads page](https://business.linkedin.com/advertise/ads/sponsored-content/video-ads) says video ads autoplay with the sound muted by default. A webinar clip is a person talking. Without captions, a muted viewer sees a face and a slide and keeps scrolling. LinkedIn gives you three ways to caption. | Option | How it works | Good for | Watch out for | |---|---|---|---| | Burned-in captions | Text is part of the video file | Muted autoplay, consistent styling, reuse elsewhere | Turn LinkedIn's auto captions off, or viewers get two sets | | SRT file | Attach it in the video editor before posting | Captions kept separate from the video | LinkedIn's help page documents the desktop flow only | | LinkedIn auto captions | Switch on "Add auto captions" at upload | No file needed; 10 languages | On scheduled posts, review is only possible after the video goes live | Sources: LinkedIn Help, [Add closed captions to videos](https://www.linkedin.com/help/linkedin/answer/a552177) and [Auto captions for videos](https://www.linkedin.com/help/linkedin/answer/a1327025) (both verified 2026-10-26). Auto captions are listed for English, Spanish, Portuguese, French, German, Italian, Indonesian, Turkish, Arabic and Dutch. That catch matters for batches: a misheard product name goes live first and gets fixed second. Burned-in captions avoid that, and LinkedIn's own ad advice is to "consider burning in video subtitles". Webinar captions also have their own rules: - **Short lines.** One glance per line. Break long, nested sentences at natural pauses. - **Clear of the slide.** Never over chart labels, the speaker's name tag or on-screen UI. - **Check the jargon.** Read every product name, acronym and customer name by hand. - **Same style on every clip.** Clips from one webinar should look like a series. ## How many LinkedIn clips can one webinar produce? Count the distinct points, not the minutes. A webinar yields about one clip per standalone agenda point, one per strong Q&A answer, and one per objection handled live. A worked example with ordinary, invented inputs: four agenda points, five good audience questions and one objection gives 4 + 5 + 1 = 10 candidate moments. Drop the ones that need too much setup. If eight survive, that is four weeks at two clips a week. A panel webinar tends to have more Q&A moments and harder crops, since the frame has to follow whoever is talking. An AI clip tool's count depends on the length and density of the recording. The [LinkedIn growth guide](/blog/how-to-grow-on-linkedin-with-video-clips/) publishes our measured clip counts by source length. On cost, ScaleReach counts minutes of source video. A 60-minute webinar uses 60 of Starter's 200 monthly minutes, so Starter ($12 a month, or $10 a month billed annually) covers three one-hour webinars with 20 minutes to spare. The Free plan includes 100 minutes but caps each upload at 30 minutes and watermarks exports, so a one-hour webinar needs two uploads, and a watermark is a poor fit for a company Page. Details are on the [pricing page](/pricing/). ## How often should you post webinar clips on LinkedIn? At least weekly, and two clips a week is a pace one webinar can sustain for a month. LinkedIn's [Pages best-practices page](https://business.linkedin.com/advertise/linkedin-pages/best-practices) says companies that post weekly see a 2x lift in engagement (verified 2026-10-26). That page is about company Pages; I did not find an equivalent LinkedIn figure for member profiles. A suggested four-week plan for eight clips. It is a structure, not a tested schedule, so reorder it around your best clips. | Week | Clip 1 | Clip 2 | Posted from | |---|---|---|---| | 1, webinar week | Recap clip with the replay link | Best Q&A answer | Company Page, speaker reshares | | 2 | Market-shift clip | Tactical "first step" clip | Speaker's profile | | 3 | Objection-handling clip | Second-best Q&A answer | Speaker's profile; sales sends it | | 4 | Point-of-view clip | Teaser for the next webinar | Company Page | Front-load the recap and the best answer while attendees remember the session. Hold the objection clip for week 3, when sales is following up on webinar leads. Queue the batch in one sitting. LinkedIn lets a member [schedule a post](https://www.linkedin.com/help/linkedin/answer/a1347212) between 10 minutes and 3 months ahead, and a Page admin [schedule a Page post](https://www.linkedin.com/help/linkedin/answer/a1419179) between one hour and three months ahead (both verified 2026-10-26). Clips left in an export folder for "later" rarely get posted. ## FAQ ### Can you post a full webinar recording on LinkedIn? Only if it runs 15 minutes or less from a member profile. LinkedIn's help center sets a 15-minute maximum for member video posts, and its spec page for company Pages lists 10 minutes. An hour-long webinar is four times the member limit, so host the full recording on your site, YouTube or a replay page and use LinkedIn for clips that link back to it. File size is rarely the issue, since both limits are 5 GB. ### What aspect ratio is best for LinkedIn webinar clips? Use 16:9 when the point is on a slide, and square or 4:5 when the point is the speaker talking. LinkedIn accepts anything from 1:2.4 to 2.4:1 for organic posts, so every common ratio uploads fine. The risk with webinar footage is cropping a widescreen slide into 9:16, which usually cuts off the chart or number the clip was about. For ads, LinkedIn recommends 4:5 as its vertical ratio. ### How long should a LinkedIn clip from a webinar be? Long enough to hold one complete answer and no longer. LinkedIn's own video ad advice lists webinar snippets in its long category, 1 minute and up, for teaching content, and suggests 5 to 15 seconds only for teasers. Start on the sentence that names the problem and cut when the answer ends. A clip that needs earlier context to make sense should be recut or dropped. ### Does LinkedIn add captions to videos automatically? Yes, if you switch on "Add auto captions" when you upload. LinkedIn's help center lists 10 supported languages, including English, Spanish, French and German, and lets you review captions before they publish. The catch for batches: on scheduled video posts, auto captions can only be reviewed after the video has gone live. For webinar clips full of product names and acronyms, burned-in captions or a checked SRT file are safer. ### How many clips can you get from a one-hour webinar? Count distinct points rather than minutes: one clip per standalone agenda point, one per strong Q&A answer and one per objection handled live. A webinar with four agenda points, five good questions and one objection has 10 candidate moments. Drop the ones that need too much setup. Eight usable clips covers four weeks at two posts a week, which is a month of LinkedIn video from one recording. ### How often should you post webinar clips on LinkedIn? At least once a week; two clips a week lets one webinar fill a month. LinkedIn's Pages best-practices page says companies that post weekly see a 2x lift in engagement with their content. Put the recap and the best Q&A answer in the first week while attendees remember the session, then spread tactical and objection clips over the next three weeks. LinkedIn's native scheduler can queue posts up to three months ahead. ## The bottom line A recorded webinar is too long for the LinkedIn feed and too useful to leave in a folder. LinkedIn caps member video at 15 minutes, lists 10 for Pages, plays feed video muted, and tells advertisers to make the point in the first 5 seconds. All of that points one way: cut single-answer clips, caption them for silent viewing, and crop each one by what is on screen. Pick moments by buyer question, keep slides readable, check your captions, and schedule two clips a week. One webinar becomes a month of posts that marketing, the speaker and sales can all use. Every LinkedIn figure here was read from LinkedIn's own pages on 26 October 2026. If one has changed or looks wrong, tell us at hevin@scalereach.ai and we will correct it in the open. --- ## Changelog **October 2026 update.** Rewritten into a full workflow with LinkedIn's member and Page video specs, caption options, a clip yield method and a posting plan. LinkedIn figures verified on 26 October 2026. **Last reviewed:** October 2026 **Next planned refresh:** January 2027 --- # How to Add Captions That Increase Watch Time on Reels, Shorts, and TikTok URL: https://www.scalereach.ai/blog/how-to-add-captions-that-increase-watch-time Published: 2026-03-10 · Author: Hevin K Tags: Captions, Engagement, Short-Form Video Let's be honest - bad captions are the fastest way to make your clip look like it was made in 2019. They cover faces, lag behind the speaker, and scream every word equally like a karaoke machine having a breakdown. Most viewers decide whether to stay before they even hear the full sentence. On Reels, Shorts, and TikTok, captions are part of that first impression. Get them wrong and people scroll. Get them right and they don't even notice the captions - they just... stay. ## How people actually watch (spoiler: muted) Like 85% of short-form viewing happens muted, half-muted, or with one AirPod in while pretending to work. The viewer is on their phone, the platform UI is eating screen space, and they're deciding in literal seconds if your clip is worth their attention. So the real question isn't "how stylish are my captions?" It's "can someone understand this instantly without sound?" ## Break speech into phrases, not transcripts Verbatim subtitles look messy because natural speech IS messy. People restart sentences, say "um" fourteen times, and wander into random tangents. Instead of dumping every word on screen: - Keep each phrase short enough to read in one glance - Break lines where the idea changes, not at random word counts - Drop filler words unless they carry emotion - Change the caption when the thought changes If it reads clean with sound off, you're golden. ## Stop highlighting everything Emphasizing one or two key words? Chef's kiss. Emphasizing EVERY word? Congratulations, you've made a karaoke machine. Lock in: - One main text style - One emphasis color - One backup treatment for busy footage - One animation the viewer learns quickly Inside [ScaleReach's AI captions](/tools/ai-caption-generator/), the fastest creators set this once per series and only change it when the content format changes. That's it. ## Respect the safe zone or die A perfect caption is useless if it's sitting under TikTok's UI or covering the speaker's mouth. Before you export, check on an actual phone: - Is the bottom line clear of platform buttons? - Are the speaker's eyes and mouth visible? - Does it still read on a smaller screen? - Is there breathing room around the text? Not glamorous work. But this is where watch time gets saved or destroyed. ## Match caption speed to the edit Fast cuts need tighter phrases. Educational clips need more breathing room. A dramatic moment needs the caption to land WITH it, not three beats late. Quick test: watch the clip once with sound, once without. If the silent version still makes sense and feels easy to follow, your timing is doing its job. If you speak Hindi on camera, the script matters as much as the timing. Auto captions usually come out in Devanagari, and [Hinglish captions in Roman letters](/blog/hinglish-captions-for-shorts-and-reels/) need a transliteration step that most caption tools skip. Captions are retention infrastructure for the audience you already have. Dubbing is how the same clip reaches viewers who don't read your language at all. If that's the next market for you, start with [which AI dubbing tools actually sound natural](/blog/ai-dubbing-for-shorts-natural-sounding-tools/). ## Build one system and stop redesigning The creators posting every day aren't inventing a new caption look each week. They have ONE system for the show, the series, or the client. That consistency saves editing time AND makes the content feel intentional. Captions shouldn't be the loudest thing in your video. They should be the reason the viewer never has to work to understand it. That's the whole game. --- # A Content Repurposing System for Small Teams That Need Output, Not Chaos URL: https://www.scalereach.ai/blog/content-repurposing-system-for-small-teams Published: 2026-03-08 · Author: Hevin K Tags: Content Repurposing, Small Teams, Social Scheduler Small teams don't run out of ideas. They run out of follow-through. A podcast gets recorded Tuesday, highlights sit in a folder Wednesday, someone asks for captions Friday, and by next week the team is already chasing the next shiny thing. Sound familiar? Yeah. That's not a content problem. That's a systems problem. A repurposing system fixes this by killing handoffs. One source asset goes in, a backlog of ready-to-post content comes out. No more "I thought you were handling that" energy. ## One recording. One owner. That's it. Pick a pillar asset that naturally has multiple moments: - Podcast episode - Webinar - Interview - Product demo - Tutorial Then assign ONE person to do the first pass. Not the whole workflow - just the responsibility to turn that recording into a shortlist of clips. When nobody owns the first pass, long-form content quietly dies in Google Drive. RIP. If nobody on the team has those hours, the choice is software or a person. [AI clip maker vs hiring a video editor](/blog/ai-clip-maker-vs-hiring-a-video-editor/) puts both on a cost-per-clip basis. ## Make the pipeline visible (not a group chat) Most small teams say they have a process. What they actually have is a Slack thread and vibes. A real pipeline has four stages: 1. **Clip discovery** - pull 10-15 candidate moments 2. **Editorial review** - cut to the 3-6 clips worth finishing 3. **Packaging** - captions, hooks, framing, titles 4. **Distribution** - queue posts while the context is fresh Once those steps are visible, bottlenecks stop hiding. You can see whether the real problem is slow review, messy captions, or the fact that approved clips never make it into a scheduler. ## Define "good enough to ship" A shortlist gets better fast when the team agrees on what publishable means. Use criteria like: - The first second creates curiosity or tension - The clip delivers ONE idea, not three - A viewer can understand it without the full episode - The frame works in vertical - The ending has a clean stopping point Sounds obvious but a lot of mid clips survive because nobody defined the bar. Define the bar. While you're at it, settle the length debate once: we measured [what clip length actually performs on TikTok, Reels, and Shorts](/blog/podcast-clip-length-tiktok-vs-reels-vs-shorts/) so your team stops guessing. ## Standardize the boring stuff The more decisions you solve once, the faster everything moves: - One caption preset per content series - One naming pattern for clips - One review format for approvals - One default CTA style This is where ScaleReach helps in a non-flashy way. If clip selection, caption cleanup, and scheduling happen in the same workflow, the team stops rebuilding the same post across three different tools. Less context-switching = more output. ## Batch publish while the topic is warm Publishing one clip at a time sounds careful. In practice it means nothing ships consistently. Better move: approve a batch, finish packaging, queue the whole set. Before you rely on the queue, check that your tool can actually publish to every platform your team posts on, and on which plan; our [comparison of clip tools that auto-post to TikTok, Reels and Shorts](/blog/auto-post-clips-to-tiktok-instagram-youtube/) covers that. If one webinar or podcast episode can produce a week of content, treat that as the minimum win. Not the stretch goal. ## Track throughput, not just views Views tell you if the content connected. They don't tell you if the system is healthy. Track: - How many publishable clips came from one source - How long each stage took - Where clips got stuck - Which formats get approved fastest - Which clips got reused across platforms When those numbers improve, the team feels less busy and becomes more consistent. That's usually the first sign the system is actually working instead of just existing. For the solo version of the same idea, here's [how to batch a month of shorts in one afternoon](/blog/batch-a-month-of-shorts-in-one-afternoon/). ---