kesslerio/local-whisper-openclaw-skill

local-whisper

LOCAL voice transcription using OpenAI Whisper.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/kesslerio/local-whisper-openclaw-skill --skill local-whisper

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

🎙️ Local Whisper Transcription

100% private voice transcription using OpenAI Whisper. Audio never leaves your machine.

⚠️ Important: OpenClaw Configuration Required

This skill must be configured in OpenClaw's tools.media.audio to handle incoming voice messages. Without this config, voice messages may cause token overflow errors or be sent to cloud APIs.

Add to ~/.openclaw/openclaw.json:

json5
{
  tools: {
    media: {
      audio: {
        enabled: true,
        models: [
          {
            type: "cli",
            command: "node",
            args: ["<skill-path>/transcribe.js", "{{MediaPath}}"]
          }
        ]
      }
    }
  }
}

Replace <skill-path> with the path to the checked-out skill repository. For a mirrored OpenClaw install, use ~/.openclaw/skills/local-whisper.

Quick Start

bash
# Install dependencies
pip install openai-whisper

# Transcribe audio
node transcribe.js voice.ogg

CLI Options

--model <tiny|base|small|medium|large>  Model size (default: small)
--language <lang>                        Language code (default: auto)
--output-dir <dir>                       Output directory
--smart-model                           Auto-select model by file size
--check                                 Verify dependencies

Model Sizes

ModelSizeSpeedRAM
tiny39 MB⚡⚡⚡⚡~1GB
base74 MB⚡⚡⚡~1GB
small244 MB⚡⚡~2GB
medium769 MB⚡~5GB
large1550 MB🐢~10GB

Documentation

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