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Jevcut

An auto-clipper that turns long videos into short standalone clips: code enumerates every plausible cut point, Jev judges the clip each candidate edge would make, and you get ranked mp4s for Shorts, Reels and TikTok.
Stars
4
Language
Python
License
MIT
Reading time
2 min
Published by
Community
Author
vbs2004
Last verified
Oct 2026

vbs2004/jevcut

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Auto-clipper that turns long videos (podcasts, talks, essays, comedy) into short standalone clips for Shorts, Reels and TikTok. Code lists every possible cut; an AI judge picks where each clip starts and ends. Benchmarked on 38 hand-labelled videos.

Forks
0
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

Languages
Python
Platforms
CLI
Capabilities
Open sourceRequires API key

Highlights

  • Code lists every plausible cut — sentence ends, pauses ≥350ms, speaker changes — and Jev never names a timestamp, only judges clips.
  • Benchmarked on 38 hand-labelled videos across 13 genres, it beat five simpler approaches on recall, edge placement and precision.
  • The README estimates about 3¢ of Jev per hour of video; the demo cuts 62 clips from a 97-minute podcast, with transcription extra.
  • v1 clips verbal content only: the judge reads transcripts, so a crash, scream or stunt with no words is invisible to it.
  • Design history: Choice-picked cuts matched a constant offset, and code-placed edges dropped 57% of labelled moments.

Quickstart

bash
uv run jevcut run talk.mp4 --model lemonfox

Watch out

Copy reviewed against the truncated repo README on 2026-10-15; the capture ends inside the 'what jevcut does differently' section, so the rest of the benchmark and cost sections were not reviewed. All performance figures are the project's own self-published results, and the README says edges remain the weak point.

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