Video Url Transcriber

Video URL Transcriber Skill

Use this skill when a user asks for transcript extraction from a public media URL (YouTube, X, and any site supported by yt-dlp).

Preconditions

Install system deps:

brew install ffmpeg yt-dlp

Install Python deps from repo root:

pip install -r requirements.txt

Minimal workflow

1. Run dependency check:

python3 skill/video-url-transcriber/scripts/transcribe_url.py --doctor

2. Run one-shot URL transcription:

python3 skill/video-url-transcriber/scripts/transcribe_url.py "https://www.youtube.com/watch?v=..." --model-size small

3. Return JSON output with:

• source_url
• platform
• title
• duration_sec
• language
• transcript
• segments[] with timestamps and optional words

API mode (agent workers)

Start API service:

python3 skill/video-url-transcriber/scripts/run_api.py

Transcribe request:

curl -s http://127.0.0.1:8099/transcribe \
  -H 'content-type: application/json' \
  -d '{
    "url": "https://www.youtube.com/watch?v=...",
    "language": null,
    "model_size": "small",
    "word_timestamps": true,
    "persist_media": false
  }'

Optional auth-gated media

Default policy: do not use browser cookies for public URLs.

If and only if the user explicitly approves personal browser/session usage, pass browser cookies with explicit opt-in:

python3 skill/video-url-transcriber/scripts/transcribe_url.py "<url>" --cookies-from-browser chrome --allow-personal-cookies

Execution rules

• Always normalize audio to mono 16k WAV before ASR.
• Never use browser cookies/keychain data unless user explicitly asks for it.
• Default model_size is small; raise to medium/large-v3 only when user asks for higher quality.
• Prefer persist_media=false unless user explicitly wants artifacts retained.
• If transcription fails, return exact failing stage: fetch, ffmpeg normalize, or asr.