Whisper STT
v1.0.0Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...
Whisper STT Skill
Free, local speech-to-text using OpenAI Whisper.
Prerequisites
Install dependencies (one-time setup):
pip install openai-whisper torch
Optional: Install ffmpeg for broader format support:
- macOS:
brew install ffmpeg - Ubuntu:
sudo apt install ffmpeg
Usage
Transcribe an audio file
python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py <audio_file>
Options
| Option | Description |
|---|---|
--model | Model size: tiny, base, small, medium, large, large-v3-turbo (default: base) |
--language, -l | Language code: zh, en, ja, etc. (auto-detect if not specified) |
--output, -o | Output format: json, txt, srt, vtt (default: json) |
Examples
Chinese audio to text:
python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py recording.m4a --language zh --output txt
Generate subtitles (SRT):
python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py video.mp4 --output srt > subtitles.srt
Use faster model:
python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model tiny --output txt
High accuracy (slower):
python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model large-v3 --output txt
Model Selection Guide
| Model | Speed | Accuracy | VRAM/RAM | Best For |
|---|---|---|---|---|
| tiny | ~32x | Basic | ~1GB | Quick tests, low resource |
| base | ~16x | Good | ~1GB | Balanced speed/accuracy |
| small | ~6x | Better | ~2GB | Better accuracy |
| medium | ~2x | Very Good | ~5GB | High accuracy |
| large | 1x | Excellent | ~10GB | Best quality |
| large-v3-turbo | ~8x | Excellent | ~6GB | Fast + accurate (recommended) |
Troubleshooting
"ModuleNotFoundError: No module named 'whisper'"
→ Run: pip install openai-whisper torch
"ffmpeg not found" → Install ffmpeg or convert audio to WAV format first
Slow transcription → Use smaller model (tiny/base) or ensure GPU is available (Apple Silicon MPS, NVIDIA CUDA)
Poor accuracy on Chinese
→ Use --language zh explicitly and consider larger model (medium/large)
Output Formats
- json: Full result with segments, timestamps, and metadata
- txt: Plain text transcription only
- srt: SubRip subtitle format with timing
- vtt: WebVTT subtitle format for web players
Credits
Powered by OpenAI Whisper - open source speech recognition.