openai-whisper

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

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/coltonbatts/Loubot --skill openai-whisper-coltonbatts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/coltonbatts/Loubot/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/coltonbatts/Loubot --skill openai-whisper-coltonbatts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a local, privacy-preserving solution for converting spoken audio into written text without relying on external APIs or sending data to the cloud.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper model.
  • Translation: Translate spoken audio from various languages into English text.
  • Use Case: You need to transcribe a confidential meeting recording without uploading it anywhere. Use this Skill to convert the audio file into a text document on your local system.

Quick Start

Use whisper to transcribe the audio file located at /path/to/meeting.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 run local speech-to-text transcription on an audio file?

Local speech-to-text transcription is performed by running the Whisper CLI on your machine to convert audio files into text documents. It requires the whisper binary to be installed and accessible in your system's PATH to process various audio formats on-device.

Can I translate spoken audio from another language to English locally?

You can translate spoken audio from various languages into English text locally using the Whisper CLI. This on-device processing allows you to convert foreign language audio files into English text documents without relying on external APIs or cloud services.

Does local audio transcription require an internet connection or external APIs?

Local speech-to-text transcription does not require an internet connection or external APIs. Processing happens entirely on-device using the Whisper model, ensuring your audio data remains private and is never uploaded to the cloud during transcription or translation.

What do I need to install before I can transcribe audio files on my machine?

To transcribe audio files on your machine, you need the whisper binary installed and accessible in your system's PATH. This environment setup allows the CLI to perform on-device speech-to-text processing across various audio formats and model sizes.

What is the best way to transcribe a confidential meeting recording privately?

The best way to transcribe a confidential meeting recording privately is using local speech-to-text processing. By running the Whisper CLI directly on your machine, you convert sensitive audio files into text documents without uploading data to external servers.