Local offline speech-to-text with the Whisper CLI (no API key required). Use when transcribing audio or video files locally without sending data to the cloud. Trigger phrases: 'transcribe', 'convert audio to text', 'speech to text', 'transcribe this recording'. NOT for: cloud-based transcription (use openai-whisper-api), or YouTube/URL transcription (use summarize skill).
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---
name: openai-whisper
description: "Local offline speech-to-text with the Whisper CLI (no API key required). Use when transcribing audio or video files locally without sending data to the cloud. Trigger phrases: 'transcribe', 'convert audio to text', 'speech to text', 'transcribe this recording'. NOT for: cloud-based transcription (use openai-whisper-api), or YouTube/URL transcription (use summarize skill)."
homepage: https://openai.com/research/whisper
metadata:
{
"openclaw":
{
"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/whisper` on first run.
- `--model` defaults to `turbo` on this install.
- Use smaller models for speed, larger for accuracy.
