mli/autocut
用文本编辑器剪视频 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1405
- days_rel: n/a
- days_push: 697
- n_releases_24m: 0
Adoption not part of the score
7790 stars · 827 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
AutoCut is a Python CLI tool that automatically transcribes video audio into subtitles using Whisper, then cuts video segments based on which sentences you keep in a Markdown file. It lets you edit videos by editing text instead of using video editing software.
Use cases
- cut videos by editing a text file
- auto-generate subtitles for recorded videos
- remove unwanted sentences from a screencast recording
- transcribe videos to srt and markdown files
- merge selected video clips into one output
- edit OBS recordings without a video editor
When to choose
- you record talking-head or screencast videos and want fast text-based editing
- you need automatic transcription and subtitle generation
- you prefer editing Markdown over timeline-based video editors
When to avoid
- you need complex multi-track or visual effects editing
- your videos have poor audio quality that breaks transcription
- you need a GUI video editor
Facets
cli-tool · maturity maintenance
speech-recognition video-processing cli nlp speech-processing media developer-tools windows python cli video-editing subtitles whisper transcription srt text-based-editing video linux macos docker
1 source
- readme: https://github.com/mli/autocut · fetched 2026-08-28 · 0d2d114a3f0b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mli/autocut | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem