openai-whisper

Transcribe local audio files to text using the Whisper CLI.

3|Updated Feb 26, 2026

Search Tags:#transcription #whisper #audio processing #local #speech-to-text

Ready to run

npx skills add https://github.com/ybsa/sovereign-kernel --skill openai-whisper-ybsa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/ybsa/sovereign-kernel/tree/main/crates/sk-tools/skills/openai-whisper
Command: npx skills add https://github.com/ybsa/sovereign-kernel --skill openai-whisper-ybsa

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 requiring an API key.

Core Features & Use Cases

Local Transcription: Transcribe audio files directly on your machine.
Multiple Formats: Supports various audio input formats and can output transcriptions in plain text.
Use Case: Transcribe meeting recordings or voice notes securely on your local system for later review or documentation.

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 an API key?▼

Local speech-to-text transcription converts spoken audio into written text directly on your machine using the Whisper CLI. It processes audio securely without relying on external APIs or requiring an API key.

Do I need to install the Whisper binary to use local transcription?▼

Yes, local speech-to-text transcription requires the Whisper binary to be installed and available in your system's PATH. This environment setup ensures deterministic execution of the audio processing commands.

What audio formats can I transcribe using local speech-to-text?▼

Local speech-to-text transcription supports various audio input formats for content generation. It processes these files using the Whisper CLI and outputs the final transcriptions in plain text format.

Is local speech-to-text processing suitable for secure meeting recordings?▼

Yes, local speech-to-text transcription is applicable for secure audio processing. It allows you to transcribe meeting recordings or voice notes directly on your local system for later review or documentation.

How do I transcribe an audio file using the medium Whisper model?▼

To transcribe an audio file, use the Whisper CLI to specify the audio file path and select the medium model. This local speech-to-text process will output the transcription as a plain text file.