Ross ROSS = Recommend OSS · open-source software intelligence for agents

antiboredom/videogrep

automatic video supercuts with python observed · 2026-08-28

github.com/antiboredom/videogrep · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

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: 4481
  • days_rel: n/a
  • days_push: 867
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3461 stars · 262 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Videogrep is a Python command line tool that searches through dialog in video or audio files using subtitle tracks or speech transcriptions and generates automatic supercuts. It works like grep but for video, supporting srt/vtt subtitles and vosk-based transcription.

Use cases

  • make a supercut of every time a word is said in a movie
  • search video files for spoken phrases like grep
  • generate supercuts from subtitle files
  • transcribe audio and video with vosk then search the dialog
  • export edit timelines for premiere or resolve
  • find all silences in a film

When to choose

  • you want to automatically cut video clips matching spoken words or regex patterns
  • you already have srt/vtt subtitles or want automatic transcription
  • you need edit lists for professional video editors from dialog searches

When to avoid

  • you need a GUI video editor
  • you need frame-accurate manual editing rather than dialog-based cuts
  • your videos have no dialog or subtitles

Facets

cli-tool · maturity active

video-processing speech-recognition search-engine cli nlp media developer-tools python cli cross-platform supercut subtitles transcription grep-for-video vosk srt vtt video natural-language-processing command-line

3 sources

Member repositories

RepositoryRoleHealth v2
antiboredom/videogrepmain23

For agents

markdown · JSON · MCP: product_card(name="antiboredom/videogrep")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem