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Download videos and transcribe their content. Use when asked to understand, summarize, or analyze a video.
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Baseado na classificação ocupacional SOC
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| name | video-understanding |
| description | Download videos and transcribe their content. Use when asked to understand, summarize, or analyze a video. |
| allowed-tools | ["Bash","Read","Write"] |
Download videos and transcribe their content for analysis.
pip install yt-dlp or brew install yt-dlp)brew install ffmpeg or apt install ffmpeg)pip install openai-whisper)# Download video with yt-dlp
yt-dlp -o "assets/downloads/%(title)s.%(ext)s" "<VIDEO_URL>"
# For best quality
yt-dlp -f "bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best" \
-o "assets/downloads/%(title)s.%(ext)s" "<VIDEO_URL>"
# For audio only (faster)
yt-dlp -x --audio-format mp3 \
-o "assets/downloads/%(title)s.%(ext)s" "<VIDEO_URL>"
ffmpeg -i "assets/downloads/video.mp4" \
-vn -acodec mp3 -ab 128k \
"assets/downloads/audio.mp3"
# Basic transcription
whisper "assets/downloads/audio.mp3" \
--model base \
--output_format txt \
--output_dir output/
# Higher quality (slower)
whisper "assets/downloads/audio.mp3" \
--model medium \
--output_format all \
--output_dir output/
# With timestamps
whisper "assets/downloads/audio.mp3" \
--model base \
--output_format srt \
--output_dir output/
Read the generated transcript file from output/
Summarize key points
Extract quotes and timestamps
Identify speakers if multiple
| Model | Size | Speed | Quality |
|---|---|---|---|
| tiny | 39M | Fastest | Lower |
| base | 74M | Fast | Good |
| small | 244M | Medium | Better |
| medium | 769M | Slow | High |
| large | 1550M | Slowest | Highest |
txt - Plain text transcriptsrt - SubRip subtitles with timestampsvtt - WebVTT subtitlesjson - Detailed JSON with word-level timingall - All formatsbase model for speed, medium for accuracy--language en to force English detection--task translate to translate to Englishassets/downloads/ for downloaded filesoutput/transcripts/