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Whisper Transcription

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by openclaw · v1.1.0 · MITRepository

Transcribe audio and video files to text using OpenAI Whisper. Supports 50+ languages with automatic language detection.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add whisper npx -- -y @trustedskills/whisper
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "whisper": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/whisper"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The whisper skill enables an AI agent to transcribe spoken words into text, allowing for voice-to-text conversion. It supports multiple languages and can be used to convert audio recordings or live speech into written format with high accuracy.

When to use it

  • Transcribing interviews or meetings for documentation
  • Converting voice memos into editable text
  • Capturing live speech during presentations or lectures

Key capabilities

  • Real-time speech recognition
  • Multi-language support
  • High accuracy in transcription

Example prompts

  • "Transcribe this audio file into text."
  • "Convert the voice recording to written words."
  • "What did the speaker say in this clip?"

Tips & gotchas

  • Ensure clear audio input for best results. Background noise can reduce accuracy.
  • Some dialects or accents may require additional training or tuning for optimal performance.

Tags

Requirements

Required Binaries
ffmpeg
Environment Variables
OPENAI_API_KEY
🛡️

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Verified Commit7b5e64ef

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Details

Version
v1.1.0
License
MIT
Author
openclaw
Installs
1.9k
Updated
Jan 20, 2026
Published
Oct 15, 2025

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Editorially selected — recommended for any platform.

Pinned commit7b5e64ef

Install command fetches the verified snapshot, not the live repository.