transcribee
Transcribe YouTube videos and local audio/video files with speaker diarization. Use when user asks to transcribe a YouTube URL, podcast, video, or audio file. Outputs clean speaker-labeled transcripts ready for LLM analysis.
Best use case
transcribee is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Transcribe YouTube videos and local audio/video files with speaker diarization. Use when user asks to transcribe a YouTube URL, podcast, video, or audio file. Outputs clean speaker-labeled transcripts ready for LLM analysis.
Teams using transcribee should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/transcribee/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How transcribee Compares
| Feature / Agent | transcribee | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Transcribe YouTube videos and local audio/video files with speaker diarization. Use when user asks to transcribe a YouTube URL, podcast, video, or audio file. Outputs clean speaker-labeled transcripts ready for LLM analysis.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Transcribee
Transcribe YouTube videos and local media files with speaker diarization via ElevenLabs.
## Usage
```bash
# YouTube video
transcribee "https://www.youtube.com/watch?v=..."
# Local video
transcribee ~/path/to/video.mp4
# Local audio
transcribee ~/path/to/podcast.mp3
```
**Always quote URLs** containing `&` or special characters.
## Output
Transcripts save to: `~/Documents/transcripts/{category}/{title}-{date}/`
| File | Use |
|------|-----|
| `transcription.txt` | Speaker-labeled transcript |
| `transcription-raw.txt` | Plain text, no speakers |
| `transcription-raw.json` | Word-level timings |
| `metadata.json` | Video info, language, category |
## Supported Formats
- **Audio:** mp3, m4a, wav, ogg, flac
- **Video:** mp4, mkv, webm, mov, avi
- **URLs:** youtube.com, youtu.be
## Dependencies
```bash
brew install yt-dlp ffmpeg
```
## Troubleshooting
| Error | Fix |
|-------|-----|
| `yt-dlp not found` | `brew install yt-dlp` |
| `ffmpeg not found` | `brew install ffmpeg` |
| API errors | Check `.env` file in transcribee directory |Related Skills
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