openai-whisper

Name: openai-whisper
Availability: InStock
Author: rlier

Transcribe and translate audio files locally using the OpenAI Whisper CLI.

1|1|Updated Jan 25, 2026

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

Ready to run

npx skills add https://github.com/Rlier/clawdbot --skill openai-whisper-rlier

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/Rlier/clawdbot/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/Rlier/clawdbot --skill openai-whisper-rlier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables local speech-to-text transcription and translation of audio files without requiring an API key, offering a private and efficient solution.

Core Features & Use Cases

Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
Translation: Translate spoken audio into text in different languages.
Use Case: Quickly transcribe a meeting recording or translate a voice note into text for documentation.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model.

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 can be performed without an API key by using the Whisper CLI to process audio files directly on your machine, ensuring privacy and efficiency.

Can I translate spoken audio into text using local speech-to-text tools?▼

Yes, local translation of spoken audio into text is supported by the Whisper CLI, allowing you to convert voice notes or recordings into different languages for documentation.

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

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

What is the best way to balance speed and accuracy for audio transcription?▼

To balance speed and accuracy during audio transcription, select different model sizes offered by the Whisper CLI, such as using the medium model for your audio files.

Does local speech-to-text transcription support various audio formats?▼

Local speech-to-text transcription supports various audio formats, allowing you to directly transcribe files like meeting recordings using the Whisper CLI without format restrictions.