AI video clipping software for long videos
FrameOS helps creators turn source videos into short-form clips by finding candidate moments, ranking hooks, reframing each clip, and preparing captions and exports.
Built for long-video-to-shorts workflows
A clipping workflow is more than cutting timestamps. FrameOS combines candidate discovery, hook scoring, AI reframe, captions, and export review so long-form source content becomes publishable social clips.
Designed for creators and teams
Use it for podcasts, interviews, webinars, creator videos, and screen recordings where the goal is to generate several short clips from one source video.
How FrameOS finds clip-worthy moments
FrameOS analyzes the full transcript and audio of a source video to locate self-contained segments — a strong claim, a story with a clean arc, a question with a surprising answer. Instead of slicing on fixed intervals, it looks for moments that make sense without the surrounding context, then ranks them by hook strength. You get a short, ordered shortlist rather than forty mediocre candidates, and every clip carries a judge score you can inspect before committing to a render.
Reframe and captions in the same pass
Clip discovery is only useful if the output is publishable. Each candidate is reframed to vertical with active-speaker tracking, so the person talking stays in frame even in two-person interviews, and captions are generated word by word and placed to stay clear of platform UI. Because the cut, the crop, and the captions are decided together, the clip looks produced rather than mechanically sliced.
Review before anything exports
Automation proposes; you approve. FrameOS keeps a deliberate per-clip review step so you can adjust a caption line, swap a clip, or restyle before the final burn-in. A typical episode processes in about 15 minutes, after which you review the ranked list and export — or publish straight to YouTube Shorts in one click.
What the clipping workflow includes
- Candidate clip discovery from long source videos.
- Hook ranking to prioritize the strongest moments.
- AI reframe for vertical social formats.
- Captions, B-roll, and export-ready renders.
FAQ
What is AI video clipping?
AI video clipping is the process of finding short-form moments inside a longer video and turning them into edited clips for social platforms.
What kinds of videos work best?
Podcasts, interviews, webinars, creator videos, screen recordings, and educational content usually work well because they contain distinct ideas that can become standalone clips.
How many clips can FrameOS find in one video?
It depends on the source, but a one-hour podcast or interview often contains eight to fifteen self-contained moments worth publishing. FrameOS surfaces a ranked shortlist rather than maximizing count, so you spend review time on the strongest candidates.
Can I edit a clip after FrameOS generates it?
Yes. Clip boundaries, caption text, and caption styling are editable during review, and nothing is burned into the final video until you export.