Skill detail

openai-whisper

Local speech-to-text with the Whisper CLI, transcribing audio without an API key.

MatchDirectRecommended for Audio and Voice

Sourceopenclaw/openclawExternal source

Reported installs4,700Popularity signal only

Inspect before use

Read the source instructions and check the requirements before you install this skill.

View on skills.sh (opens external page)Read SKILL.md on GitHub (opens external page)

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SKILL.md

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---
name: openai-whisper
description: "Local speech-to-text with the Whisper CLI (no API key)."
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.

Read the full source on GitHub

Context