Find Highlight Clips in a Long Recording
Turn a talk, podcast, stream or interview into ranked clip candidates with start, end, hook, title and a reason, so an agent can cut shorts from hours of footage without watching it. Run the preset directly on this page or call the same agent-ready endpoint from your product.
See what the tool changes.
A real example: the after side is the unedited output of a KinoPipe job. Run the live form above to generate the same result from your own media.
Demo footage: public-domain timelapses (Bureau of Land Management, Oregon · NASA SVS). Processed by the same pipeline the API and MCP tools call.
Useful defaults, typed options.
The tool slug stays stable while your agent supplies named media inputs and a narrow set of documented options.
- Recordings up to 2 GB, hours long
- Two independent scores plus a hook and a title per clip
- Timestamps ready for trim-video and format-for-platform
- 01Transcribe the speech on the worker (Parakeet, 25 languages)
- 02Ask a language model for self-contained moments that open on a hook, within your duration window
- 03Score each moment twice: what happens, and how it feels to watch
- 04Snap boundaries to sentence starts and ends, drop overlaps, return the best first as JSON
POST /api/v1/tools/find-highlightsKnow the boundaries before you run.
About find highlights
What does the result contain?
result.analysis.highlights, best first: rank, start, end, duration, score (0-100), contentScore, viewerScore, hook (the first sentence heard), reason, title and the transcript of the clip, plus the SHA-256 of the source so you can cache the result.
How are clips scored?
Two independent scores per clip: content, for how significant or informative the moment is on its own, and viewer, for how funny, tense or satisfying it is to watch. The combined score is their geometric mean with a bonus when both are high, which favours moments that are both substantial and enjoyable.
How do I turn a highlight into a short?
Call trim-video with its start and end, then format-for-platform for 9:16, and add-subtitles-to-video with the SRT from transcribe-video. An agent can run that for every highlight in the list.
Related media tools
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