openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
When & Why to Use This Skill
This Claude skill integrates the OpenAI Whisper CLI to provide powerful, local speech-to-text capabilities. It enables high-fidelity audio transcription and translation directly on your local machine, eliminating the need for expensive API keys while maintaining total data privacy. By leveraging various model sizes, it balances speed and accuracy for converting audio files into structured text or subtitle formats.
Use Cases
- Meeting Transcription: Automatically convert recorded business meetings, interviews, or lectures into searchable text documents for better knowledge management.
- Subtitle Generation: Create accurate SRT or TXT subtitle files for video content to enhance accessibility and SEO for video platforms.
- Local Audio Translation: Translate foreign language audio recordings directly into English text without sending data to external servers.
- Privacy-Sensitive Dictation: Transcribe confidential legal, medical, or personal voice notes locally to ensure maximum data security and compliance.
| name | openai-whisper |
|---|---|
| description | Local speech-to-text with the Whisper CLI (no API key). |
| homepage | https://openai.com/research/whisper |
| metadata | {"clawdbot":{"emoji":"🎙️","requires":{"bins":["whisper"]},"install":[{"id":"brew","kind":"brew","formula":"openai-whisper","bins":["whisper"],"label":"Install OpenAI Whisper (brew)"}]}} |
Whisper (CLI)
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srt
Notes
- Models download to
~/.cache/whisperon first run. --modeldefaults toturboon this install.- Use smaller models for speed, larger for accuracy.