Individual skill
transcribe-anything
Transcribes audio and video files to text using pluggable ASR backends. Default backend is local whisper/MLX Whisper for ASR. Supports pyannote.audio direct diarization, whisperX, insanely-fast-whisper, faster-whisper, whisper.cpp, OpenAI Whisper API, Groq Whisper API, Deepgram, AssemblyAI, Gemini, and Hugging Face models. Handles very long files (1-8+ hours) by preprocessing with ffmpeg: extracts audio from video, converts to optimal ASR format, detects and skips silence, and chunks for API size limits. Supports speaker diarization, word-level timestamps, custom vocabulary, and multiple output formats. Use this skill when someone says "transcribe this", "convert to text", "speech to text", "get the transcript", "transcribe this video/audio/podcast/recording", or provides a media file and wants text output.
transcribe-anything/SKILL.md
Source commit 1acf58f08cca24b764a4352a6c30fed1f7fb9fb6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 198
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
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Read excerpt
# Transcribe Anything
Transcribes audio and video files to text. Pluggable backends, silence skipping for long files, optional speaker diarization, and multiple output formats.
## Setup
### Required (install these first)
```bash
# ffmpeg — audio extraction, preprocessing, silence detection
brew install ffmpeg
# yt-dlp — downloading video/audio from URLs (optional but recommended)
brew install yt-dlp