openai-whisper

Transcribe and translate local audio files using the Whisper CLI.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/softweek/openclaw --skill openai-whisper-softweek
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/softweek/openclaw/tree/main/publish_output/skills/openai-whisper
Command: npx skills add https://github.com/softweek/openclaw --skill openai-whisper-softweek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local speech-to-text transcription service using OpenAI's Whisper model, eliminating the need for an internet connection or API keys.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine.
  • Translation: Translate spoken audio from various languages into English.
  • Use Case: Transcribe a recorded meeting or lecture without sending sensitive audio data to a third-party service.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 and save the output as text.

Frequently Asked Questions about openai-whisper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe audio files locally without using an external API?

You can perform local speech-to-text transcription by running audio files through the Whisper CLI. This processes interviews, lectures, or voice notes directly on your machine without relying on external APIs or internet connections.

Can I translate spoken audio from other languages into English locally?

Yes, local translation of spoken audio into English is supported. The Whisper CLI processes various language audio files on your machine and translates the spoken content directly into English text without needing an internet connection.

Do I need to install the Whisper executable to use local speech-to-text?

Yes, local speech-to-text requires the Whisper executable to be installed. You must ensure the executable is available in your system's PATH so the transcription process can access it directly on your machine.

Does local speech-to-text transcription work for sensitive meeting recordings?

Local speech-to-text is ideal for sensitive meeting recordings because it processes audio files directly on your machine. Transcribing recorded meetings locally eliminates the need to send sensitive audio data to a third-party service.

What is the best way to transcribe voice notes without an internet connection?

The best way to transcribe voice notes offline is using the Whisper CLI for local speech-to-text. This method processes audio files entirely on your machine, eliminating the need for an internet connection or API keys.