openai-whisper

Transcribe audio files locally using the OpenAI Whisper CLI.

307|86|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/johnson7788/MultiUserClaw --skill openai-whisper-johnson7788
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/johnson7788/MultiUserClaw/tree/main/openclaw/skills/openai-whisper
Command: npx skills add https://github.com/johnson7788/MultiUserClaw --skill openai-whisper-johnson7788

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local speech-to-text transcription of audio files without requiring an API key, offering a private and cost-effective solution.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
  • Multiple Formats: Supports various output formats like plain text (txt) and subtitles (srt).
  • Model Selection: Allows choosing different model sizes (e.g., medium, turbo) for a balance between speed and accuracy.
  • Use Case: Transcribe meeting recordings or voice notes securely on your local system.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription as a text file.

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 API?

To transcribe audio locally without an API, use the openai-whisper Skill to process audio files directly on your machine via the Whisper CLI. It provides secure, private transcription without requiring external API calls or keys.

Do I need to install the whisper binary to perform speech-to-text transcription?

Yes, you need the whisper binary installed and accessible in your system's PATH to perform speech-to-text transcription. This local setup ensures your audio processing remains completely private and secure on your own machine.

Can I generate SRT subtitle files from audio recordings?

Yes, you can generate SRT subtitle files from audio recordings using the Whisper CLI. The tool supports multiple output formats including plain text and subtitles, allowing you to choose the format that fits your needs.

What is the best way to balance speed and accuracy for local speech-to-text?

The best way to balance speed and accuracy for local speech-to-text is by selecting different model sizes in the Whisper CLI. You can choose models like medium or turbo depending on whether you prioritize transcription speed or accuracy.

Why use local transcription instead of cloud speech-to-text services?

You should use local transcription instead of cloud services when you need secure and private audio processing. Running the Whisper CLI locally ensures sensitive meeting recordings or voice notes never leave your system, avoiding API costs.