openai-whisper

Transcribe audio files locally into text or SRT using the Whisper CLI.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill openai-whisper-loveoplay2023-hue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/loveoplay2023-hue/OpenMehdi/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill openai-whisper-loveoplay2023-hue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local speech-to-text transcription of audio files without requiring an API key, ensuring privacy and offline functionality.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
  • Multiple Formats: Supports various audio input formats and can output transcriptions in text or SRT format.
  • Use Case: Transcribe a meeting recording from an MP4 file into a text document for easy review and searching.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the result 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 an audio file locally without an API key?

Local speech-to-text transcription can be performed directly on your machine using the OpenAI Whisper CLI, ensuring privacy and offline functionality without requiring an API key.

What is local speech-to-text transcription used for?

Local speech-to-text transcription is used for converting voice notes, meeting recordings, and audio content into text or SRT formats for accessibility and searchability.

Do I need the whisper binary installed to transcribe meeting recordings?

Yes, local speech-to-text transcription requires the whisper binary to be installed and accessible in the system's PATH to process audio files.

Can I transcribe an MP4 meeting recording into a text document?

Yes, local speech-to-text transcription supports various audio input formats including MP4, allowing you to transcribe meeting recordings into a text document for easy review.

What is the best way to output transcriptions in SRT format locally?

Using the OpenAI Whisper CLI for local speech-to-text transcription is the best way to output results in SRT format, supporting multiple audio input formats directly on your machine.

Why does local transcription require offline functionality?

Local transcription requires offline functionality to ensure privacy by processing audio files directly on your machine, eliminating the need to upload data to external servers.