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openai-whisper

Transcribes and translates local audio files using the OpenAI Whisper CLI.

1|Updated Feb 24, 2026
Search Tags:#translation#transcription#whisper#audio processing#local#speech-to-text
One-click install
npx skills add https://github.com/victor-brechbill/claw-kernel --skill openai-whisper-victor-brechbill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/victor-brechbill/claw-kernel/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/victor-brechbill/claw-kernel --skill openai-whisper-victor-brechbill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local speech-to-text transcription of audio files without requiring an API key, offering 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 spoken audio into different languages.
  • Use Case: You have a sensitive audio recording of a meeting and need a transcript for documentation. Use this Skill to transcribe the audio locally, ensuring privacy and avoiding external service costs.

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 an audio file locally without an API key?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI to process audio files without requiring an API key, ensuring privacy and avoiding external service costs.

What audio formats can I use for local speech-to-text transcription?▼

Local speech-to-text transcription supports standard audio file formats such as MP3 and M4A. You can process these files directly using the Whisper CLI for accurate transcription outputs.

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

Yes, local speech-to-text transcription requires the Whisper binary to be installed and configured on your machine to handle model selection and output formatting for your audio files.

Can I translate spoken audio into a different language locally?▼

Yes, local speech-to-text translation allows you to translate spoken audio from one language to another using the Whisper CLI, providing translated text outputs directly on your machine.

How do I select a specific model for audio transcription?▼

Audio transcription model selection is configured directly through the Whisper CLI. You can specify a model, such as the medium model, when running the command to process your audio file.

What is the best way to securely transcribe sensitive meeting recordings?▼

The best way to securely transcribe sensitive audio is using local speech-to-text transcription with the Whisper CLI, which keeps all data on your machine without sending it to external services.

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