Turn long videos into short clips

Hours of podcasts and webinars sit unused because cutting them into short vertical clips takes editing time nobody has.

Tools worth considering

Descript

Video and podcast editor that works by editing the transcript, with AI tools for filler word removal, studio-quality audio and dubbing.

Free plan: 60 minutes of transcription per month, 100 one-time AI credits, watermarked 720p exports; Hobbyist $16/user/mo billed annually ($24 monthly); Creator $24 annually ($35 monthly); Business $50 annually ($65 monthly); Enterprise on request

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OpusClip

AI tool that finds the strongest moments in a long video and turns them into vertical short clips with captions.

Free $0: exports stored 3 days, up to 1080p, watermark on animated caption templates, speech-based clipping only, local video up to 10GB and YouTube import; Starter $15/mo adds watermark-free exports, 30-day storage, visual, sound and emotion based clipping, text and timeline editing, AI voice-overs and social posting; Pro $29/mo; Business on request with team features

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The problem

You already made the content. An hour-long podcast, a webinar, a recorded talk, a long client Q&A. Somewhere in it are ten moments that would work as short vertical video, which is the format that actually travels. Producing those ten clips by hand means finding the moments, cutting, reframing to vertical, adding captions and exporting, which is an afternoon per episode.

So it does not happen. The long recording gets published once to an audience that already knows you, and the reach that short clips would have brought never arrives. The bottleneck is not ideas or material, it is editing labour on content that already exists.

What AI can actually do here

This is one of the clearer wins in the AI tool landscape, because the task is well defined and tedious.

Automatic clipping analyses a long video and proposes the segments most likely to work standalone, using speech at minimum and, on paid tiers, visual objects, sound and emotional cues. It reframes to vertical and follows the speaker, generates animated captions from the transcript, and exports ready for TikTok, Instagram and YouTube Shorts.

Transcript-based editors approach the same material differently: you read the transcript, delete what you do not want, and the video follows. That is slower than automatic clipping and gives you control over exactly where a clip starts and ends.

The honest limit is judgment. Automatic selection finds moments that look like moments, high energy, a laugh, a rise in pitch, which is not always the same as the moment that carries the idea. Expect to reject half the clips and to trim the start of the ones you keep, because automatic clips very often begin one beat too early and the first second is what decides whether anyone watches.

How the tools differ

OpusClip is built for exactly this job. It finds clips, reframes them and captions them, with a free tier that exports at up to 1080p with watermarks on animated caption templates and 3-day storage. Starter at $15 per month removes watermarks, extends storage to 30 days, adds clipping on visual objects, sound and emotion, text and timeline editing, and posting straight to YouTube, TikTok and Instagram. Pro is $29 per month.

Descript is the editor rather than the clipper. Transcript-based editing, filler word removal, Studio Sound and captions give you control over the result, from a free plan with 60 minutes of transcription per month and watermarked 720p exports, with Hobbyist at $16 per user per month billed annually.

Many people use both: automatic clipping to find candidates, an editor to finish the ones worth publishing.

When you don't need a tool

If you are not producing long-form video or audio, there is nothing to clip, and the honest first step is making something worth cutting up.

If you publish one episode a month, cutting two clips by hand in whatever editor you already own costs less than a subscription and gives a better result.

And if your short clips are not getting watched, more of them will not fix it. That is a hook problem: the first second, the caption, and whether the clip makes sense to someone who did not hear the previous ten minutes. Automatic tools are indifferent to all three, which is why the clips that perform are usually the ones a person edited afterwards.

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An example

I waste hours every week going back and forth to schedule client calls.
You don't need a big system for this. There's an easier tool for this: Calendly. On the free plan you share one link and clients pick a slot that syncs with your calendar. Paid starts at $10/user/mo, but you likely won't need it.

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Frequently asked questions

Are the automatically chosen clips actually good?

Some of them. Automatic selection reliably finds moments with energy, and less reliably finds moments with a point. Treat the output as a shortlist: watch all of them, publish the two or three that stand alone without context, and trim the openings, since clips that start mid-thought lose viewers in the first second.

Can I publish clips made on a free plan?

Check the watermark rather than the resolution. OpusClip free exports up to 1080p but puts watermarks on animated caption templates and keeps exports for only 3 days, so it is for evaluating whether the clip selection works on your material. Watermark-free publishing starts at $15 per month.

Do I need captions on short video?

Yes, in practice. Most short video is watched without sound at first, so captions are what allow someone to start following before they decide to turn audio on. Both tools generate them from the transcript, so the cost is checking timing and spelling rather than typing them.

Should the clip be a trailer for the long version or stand alone?

Stand alone. Clips that only make sense if you watched the full episode ask viewers for a commitment they have not made yet. Pick moments that contain a complete thought, and let the link to the full version be a bonus for the people the clip actually reached.