Overview

Requires ffmpeg on PATH. Transcription scripts need Python 3.11+ with faster-whisper (installed automatically via `uv run`). CPU-friendly `tiny` model is the default.

Recipes

Copy-paste command sequences agents can run via uv run.

Transcribe a clip to SRT + JSON
uv run scripts/transcribe.py --input interview.mp4 --model tiny
Detect language before choosing a model
uv run scripts/detect-language.py --input interview.mp4
Build SRT from transcript text (no ASR)
uv run scripts/to-srt.py --text "Hello world. This is a test." --duration 6 --output captions.srt
Build VTT from transcribe JSON
uv run scripts/to-vtt.py --segments-json interview_transcript.json --output captions.vtt
End-to-end caption pipeline

Operations

Each script returns structured JSON — see the script contract.

Op IDScriptCommon flags
speech_captions.detect_languagedetect-language.py--input
speech_captions.to_srtto-srt.py--input
speech_captions.to_vttto-vtt.py--input
speech_captions.transcribetranscribe.py--input

Do not use for

  • Burning subtitles into video (use `subtitles/burn.py`)
  • Broadcast SCC/SMPTE-TT export (use `captions-compliance`)
  • Video or audio transforms (use `video-transformation` / `audio`)

Related cookbooks