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.