Setup & Installation
openclaw skills install @gykdly/voice-recognition
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install voice-recognition
What This Skill Does
Runs OpenAI Whisper locally to transcribe audio files without sending data to any external service. Supports 100+ languages with options to translate speech to English or generate a text summary.
Runs entirely offline so audio never leaves your machine, unlike cloud transcription services that require API keys and per-minute billing.
When to use it
- Transcribing recorded meetings or lectures
- Converting voice memos to text
- Translating foreign-language audio to English
- Getting a quick summary of a long recording
- Batch processing audio files from the command line
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: transcribe this Chinese meeting recording and summarize it
AGENT
- 1Receives audio file path (e.g. meeting.m4a)
- 2Runs voice recognition script with --zh and --summarize flags
- 3Whisper loads the medium model and processes the audio locally
- 4Script outputs full transcript followed by a generated summary
OUTPUT
Full Chinese transcript with an English summary paragraph
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.
openai-whisper installed via Homebrew (brew install openai-whisper)