openai-whisper

Transcribe and translate local audio files using the OpenAI Whisper CLI.

1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance --skill openai-whisper-justicegaines03
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance --skill openai-whisper-justicegaines03

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting spoken audio into written text, eliminating the need for cloud-based APIs and associated costs or data privacy concerns.

Core Features & Use Cases

  • Local Transcription: Transcribes audio files directly on your machine using the Whisper model.
  • Multiple Formats: Supports various output formats like plain text (txt) and subtitles (srt).
  • Translation: Can translate spoken audio from one language to another.
  • Use Case: Transcribe a meeting recording to generate meeting minutes or translate a podcast episode into a different language for wider accessibility.

Quick Start

Use whisper to transcribe the audio file located at /path/to/meeting.mp3 using the medium model and output the transcription 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 an audio file locally without using cloud APIs?

You can transcribe audio files locally by using the Whisper CLI to process recordings directly on your machine, converting spoken audio into written text without cloud-based APIs.

Can I generate srt subtitles from a voice recording?

Yes, local speech-to-text processing with Whisper supports multiple output formats, allowing you to generate plain text files and srt subtitles from voice recordings.

How do I translate a podcast into a different language from the audio?

You can translate spoken audio into another language by running the audio file through the Whisper CLI, which provides translation capabilities alongside standard transcription.

Do I need to install anything specific to use local speech-to-text for meeting minutes?

Yes, local speech-to-text requires the whisper binary to be installed and accessible in your system's PATH before you can process meeting recordings into written minutes.

What is the best way to ensure data privacy when transcribing interview recordings?

The best way to ensure privacy is to perform local speech-to-text transcription with Whisper, which eliminates the need to upload sensitive audio files to cloud-based APIs.