Drop in a long video or a link and get back full-bleed vertical cuts sized for TikTok, with captions placed clear of the buttons, filler stripped out, and a 0-100 grade on each so you know which one goes up tomorrow and which one waits.
Real ClipSpeedAI output — every clip below was scored, cut, reframed to 9:16 and captioned automatically from the video above it.
Source video
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You give it one thing. It gives back a queue.
Paste a YouTube link or upload the file — a stream VOD, a podcast recording, a talk, a client interview. Nothing gets installed and there is no project file to manage. Two hours per upload on a paid plan, thirty minutes on the free demo, which is plenty to see whether the cuts match your instincts.
A cutter that only trims still leaves you watching an hour to decide where to trim. Here the model reads the entire transcript, marks the segments that work with no setup and no context, and cuts each one so it starts and finishes on a complete sentence rather than mid-breath.
Cuts come back vertical, captioned and scored. Because TikTok rewards posting often, the useful move is to take the top handful and schedule them across the next few days straight from the review screen instead of posting them all in one afternoon and going quiet.
The app draws its own interface over your clip. Half of these features exist because of that.
A landscape video pasted into a vertical canvas leaves bars above and below, and on TikTok that reads instantly as recycled from somewhere else. Cuts fill the frame edge to edge with the crop following whoever is talking, so the clip looks like it was shot for the app rather than borrowed.
TikTok stacks buttons up the right side and puts your handle and description across the bottom. Any text burned into those areas is simply gone on a real phone. Word-by-word captions are positioned to stay clear of both, which is a detail almost nobody checks until a clip is already live.
Scroll speed on TikTok is the tightest of any feed, and a clip that spends three seconds clearing its throat has already lost. Filler, false starts and dead air are removed, and cuts are built to begin at the start of a thought rather than during the wind-up to one.
One long recording can produce more cuts than you have days in the week. The 0-100 grade puts them in order, which is what a daily posting habit actually needs — not more clips, but a defensible answer to which clip goes up today.
A single clip on TikTok tells you almost nothing; a dozen tells you what your audience responds to. Getting to a dozen was always the barrier, and cutting them in one pass rather than one evening each is what makes that kind of testing realistic.
Caption styling is most of the visual identity of a TikTok. Picking one style and staying with it makes a viewer recognise your clip in a feed before they read a word of it, and the Brand Kit will hold your colours and font so every cut matches the last.
A two-person conversation cut with a single centre crop shows neither face properly. Split-screen keeps both, the grid handles a panel, screen-share keeps a shared window readable, and picture-in-picture puts a webcam over gameplay for the clips that need it.
Connect the account and queue cuts ahead instead of setting a reminder to post manually every day. Consistency beats intensity here, and a scheduler is the only version of consistency that survives a busy week.
ClipSpeedAI is available as an MCP connector, so you can hand Claude a link and get finished TikTok cuts back in the conversation. If you would rather automate it, the same engine is exposed through the developer API.
TikTok is where podcast clips find new listeners, and an episode holds enough of them to post all week. The podcast clip generator goes deeper on that workflow.
One clear answer to one specific question is the whole format. A recorded session usually contains several without you writing anything new.
Stream VODs are the highest-volume source there is. Clips can also be cut during the broadcast if you want them the same night — see the livestream clip generator.
Founder interviews, demos and customer calls already contain the honest, unpolished talking that outperforms produced ads on this platform.
Throughput is the entire business model. Scoring matters most where you are choosing between forty candidates for three slots a day.
Five clients each needing daily posts is thirty-five clips a week. That is a staffing problem until the cutting stops being manual.
Accounts that grow here are usually not the ones making the single best video. They are the ones posting often enough for the feed to work out who their content belongs in front of. Every clip is a test, the cost of a failed test is basically nothing, and the accounts that run more tests learn faster.
The reason most people do not post daily is that each clip used to cost an evening. Find the moment, crop it, caption it, time the captions, export, upload. Nobody sustains that for thirty days, so the pattern is a burst of five posts and then three weeks of silence, which is the worst possible signal to send a feed that is trying to learn what you make.
Cutting a queue in one sitting inverts it. You spend twenty minutes once, and the next two weeks are already filled. Nothing about that promises a hit — it just puts you in the only position from which hits happen.
Grey bars are the first giveaway. A 16:9 clip dropped into a vertical canvas with padding top and bottom announces that it was made somewhere else, and viewers have learned to scroll past that shape before processing what is in it. Filling the frame with a tracked crop removes the tell.
A logo from another app is the second. Whatever the exact effect on distribution, a competitor watermark visibly marks a clip as a repost, and it is a strange thing to hand a platform when a clean export costs nothing on a paid plan.
The third is caption feel. TikTok viewers are used to fast, word-level text that punches along with the speech. A block of static subtitles sitting in a grey box reads as a subtitle track, not as a TikTok, and it does not hold a muted scroller in the same way.
None of this is about polish. Rough, honest footage does extremely well here. It is about the specific formatting signals that say a clip was built for the app instead of exported from an editor with the wrong preset.
It does not pick trending sounds. Choosing a sound is a judgement about what is spreading this week, and it changes faster than anything a cutting tool should be automating. The cuts come out with your original audio, which is the right default for talking content and the wrong one for a dance trend.
It does not write your caption text or your hashtags, and it does not generate footage. There is no AI video, no synthetic B-roll, no cloned voiceover — every frame you get back was in the recording you supplied.
And it does not know your niche. A clip that scores 78 might be the one your particular audience loses their mind over, because the model has never met them. The score is a strong first pass on structure and delivery, not a replacement for the thing you know about your own comments section.
If the long recording is the product — a paid course, a members-only stream, a client deliverable — then cutting it into a public feed is a distribution decision before it is an editing one. It is worth making that decision on purpose. Plenty of accounts have clipped away the reason anyone had to subscribe, and no tool is going to warn you at the point of upload.
If the value of the moment is visual and nobody narrates it, this is the wrong instrument. Selection reads what is said, so the hardest case is the one that looks easiest: a montage with music over it, where every beat is obvious to you and completely invisible to a transcript. What comes back will be arbitrary, and arbitrary is worse than nothing because it looks like a result.
If you want exactly one clip and you already know where it sits, dragging two handles in whatever editor is on your machine is faster than starting a job. Everything here is priced against not having to watch the hour, so when you have already watched the hour there is nothing left to buy.
And if TikTok is not where your audience actually is, a full queue only gets you to the same place sooner. The biggest mistake we watch people make is treating cadence as a strategy on a platform their account was never going to work on. Put two or three cuts up and see whether anyone at all finds them before you build a fortnight of posts on the assumption.
Front-loading context is the biggest one. Explaining who you are and what podcast this is from before getting to the point costs you the only seconds that were ever in play. Start on the sentence that makes someone stop, and let the context arrive afterwards if it arrives at all.
Posting five clips in one hour and then nothing for eight days is the second. Bunching gives a feed no consistent signal to learn from and gives your audience no reason to expect anything, which is why the scheduler matters more here than on any other platform.
Leaving another app's branding in the corner is a third, and it is entirely avoidable on a paid export. So is uploading a clip with the description still empty — the text under a video is read by both the viewer and the app, and skipping it is throwing away free context.
The subtlest one is judging a clip by whether you like it. Your taste was formed by knowing the full recording; a stranger arrives with nothing. If a cut only makes sense to someone who heard the previous ten minutes, it is not a TikTok, however good the moment was in the room.
Settle the caption style before you render a batch rather than after. The text is written into the pixels, so switching style means putting every clip through the renderer again instead of toggling a layer, and across a queue of twelve that is the difference between a decision and an afternoon. Pick one of the eleven, hold it for a month, and let it become the thing people recognise before they read a word.
Leave the ratio at 9:16 unless you have a specific second destination in mind. Square and landscape renders are available from the same cut and they are one click, but each extra ratio doubles the number of files you have to keep straight, and TikTok only ever wanted the vertical one.
Choose the layout from what is on screen rather than from habit. A two-shot wants split-screen, a panel wants the grid, gameplay wants picture-in-picture with the camera over the action, and a session that lived in a shared window wants the screen-share layout. Applying one layout across a mixed recording is the case where a third of a batch comes back unusable and nobody notices until posting day.
Put your own mark in the Brand Kit rather than leaving the frame bare, and keep it out of the lower strip and the right-hand column where the app draws its own furniture. Paid exports carry nothing of ours, so the only badge in that frame should be one you chose deliberately.
Time one honestly before deciding anything. Find the moment, set the in and out points, crop to vertical and keyframe the crop so the speaker stays inside it, generate captions and correct the misheard words, lift the text above the button column, strip the ums, export, upload. For a clip you already knew about, that is twenty to forty minutes. For a clip you did not, add the runtime of the recording to the front of it.
Say you stream four hours on Kick twice a week. That is eight hours of source, and anybody reviewing it faster than half speed is not really reviewing it. The arithmetic is what defeats the manual route on this platform specifically, because TikTok pays for frequency and frequency multiplies whatever the per-clip cost happens to be.
A good human clipper still wins on any individual cut, and it is worth saying so plainly. They know the running joke, they know which guest the audience turns up for, and they will let a beat breathe where a model trims it flat. That gap is real. It is simply narrower than the gap between posting daily and posting whenever you get round to it.
The version that works in practice is layered rather than either-or: let the model produce the volume and the ordering, then spend your judgement on the top three. Most creators find that the editing they actually miss is not the cutting at all, it is the choosing, and choosing is the part that never left.
Shoot vertically in the first place. If you are recording specifically for this platform and you control the camera, a native vertical take beats any crop of a landscape source, because no reframe recovers information that was never captured. Everything on this page is aimed at footage that already exists, not at talking you out of filming for the app.
Use the platform clip button when the source is a stream. Twitch and Kick both ship one, it costs nothing, and it fires the instant a human notices something. For example, a moderator with a hotkey will catch a reaction that a transcript-driven pass values at forty-something because nobody said anything quotable during it. What the hotkey cannot give you is a vertical crop, word-by-word captions or any ordering across four hours, which is why streamers who use both treat it as a bookmark and the automatic pass as the sweep.
Hire a clipper on revenue share once the account is earning. That arrangement buys taste rather than throughput and it aligns far better than paying per post. It also gets expensive early, which is the only reason most accounts do not begin there.
Or automate none of it and post one well-chosen moment a week. One clip a week that you picked yourself beats a queue you abandon on day nine. Here's why that is a genuine option and not a consolation prize: the failure mode of automation is almost never bad clips, it is a full library that nobody ever publishes from.
Observations from operating the pipeline in production — not general advice.
Segment selection reads the full transcript, which is what makes it good at finding things and also what makes it wrong in a way that is hard to spot. A payoff line can score well because setup thirty minutes earlier gave it weight, and that weight does not travel inside a forty-second cut. The symptom is a clip that reads perfectly to you, since you were there for the setup as well, and reads as a fragment to somebody arriving cold. The check that catches it takes about ten seconds: read only the opening sentence of the cut and ask whether it stands up to a stranger. If it needs a pronoun resolved or a name introduced, move the in-point back one sentence.
Cuts land on sentence boundaries, so the length of a clip is a property of how the person talked rather than a number anyone sets. A fast, declarative answer closes in twenty-two seconds; the same idea from someone who circles back twice runs past a minute. That is the reason you will never find a target-duration control here, and why two cuts from one recording arrive at noticeably different lengths. It has a practical consequence for a posting queue as well: you cannot plan slots by runtime ahead of time, so plan them by idea and let the boundary land wherever the thought actually finishes.
One submission is one read of one transcript, so everything it finds comes back together. A dense thirty-minute conversation might return twelve cuts and a meandering one might return four, which makes yield a property of the recording rather than something you can schedule against. Two things follow from that. A fixed daily cadence built on a variable yield is the habit that breaks first, so it is worth carrying a buffer of scored-but-unposted cuts instead of cutting to order. And every clip in a batch shares one source, one caption style and often one framing, so publishing six of them in an afternoon reads to a scroller as the same video turning up over and over.
The in-app editor is genuinely good for something you shot on your phone thirty seconds ago. It is a poor place to work through a ninety-minute recording, because there is no way to review a long source or to produce a batch. Different tool for a different starting point.
CapCut will do more than this on any individual clip and it is free, which is a real argument. What it will not do is watch your hour of footage and tell you which ten moments are worth cutting. If you already have your timestamps, CapCut is fine. Finding the timestamps is the work being replaced.
Clippers are common on TikTok for good reason, and a good one understands your audience in a way no model does. The cost is per clip and the turnaround is measured in days. The usual arrangement that works is to let the AI produce the volume and let the clipper choose and polish, rather than paying them to scrub raw footage.
Feature lists across the category look alike, so the only test worth running is your own footage through two of them. What is unusual here is live clipping during a broadcast, framing that keeps two-person conversations legible, and access from Claude or your own code. Cut one video free and compare.
Take the longest thing you have recorded recently and cut it once. Whether the queue fills is a question you can answer in a single pass.
⚡ Cut My TikToks — $1 trial
