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openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

Updated Aug 23, 2026
Search Tags:#translation#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/MettaMazza/ErnOS --skill openai-whisper-mettamazza
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/MettaMazza/ErnOS/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/MettaMazza/ErnOS --skill openai-whisper-mettamazza

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local, offline speech-to-text transcription of audio files without requiring an API key, making it a private and cost-effective solution.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
  • Translation: Translate audio from various languages into English.
  • Multiple Formats: Supports various output formats like plain text (txt) and subtitles (srt).
  • Use Case: You need to transcribe a meeting recording stored as an MP3 file. This Skill can convert the audio into a text document for easy review and searching.

Quick Start

Use the whisper skill 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 sending data to an API?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI. This Skill processes audio files offline, requiring no API key, to provide a private and cost-effective text conversion solution.

What's the best way to translate audio recordings into English text offline?▼

Translating audio into English text offline is achieved by running the local Whisper binary. This Skill handles various input languages and outputs the translated English content directly to your system as a text or subtitle file.

Do I need an internet connection or API key to use Whisper for speech-to-text?▼

No internet connection or API key is required for speech-to-text transcription with this Skill. It operates completely offline using the locally installed Whisper CLI, ensuring your audio data remains private and secure.

Can I generate SRT subtitle files from MP3 audio using local transcription?▼

Generating SRT subtitle files from MP3 audio is supported by this local transcription Skill. It uses the Whisper CLI to process your audio files and can output multiple formats, including plain text and subtitles.

What are the prerequisites for running local speech-to-text transcription?▼

The prerequisite for local speech-to-text transcription is having the 'whisper' binary installed and accessible in your system's PATH. This Skill acts as an interface for that local command-line tool to process audio files.

Why use a local Whisper setup over cloud-based speech-to-text services?▼

A local Whisper setup is chosen over cloud-based speech-to-text services to maintain strict data privacy and eliminate API costs. This Skill processes audio entirely offline, making it ideal for sensitive recordings and secure environments.

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