openai-whisper

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

Updated Jan 29, 2026

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

Ready to run

npx skills add https://github.com/douglasjs/clawdbot_plugin_tools --skill openai-whisper-douglasjs

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting spoken audio into written text without relying on external APIs or requiring an API key.

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 text.
Use Case: Transcribe a recorded meeting or a podcast episode into a text document for easier searching and referencing.

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 using an API?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI. This approach processes audio files like MP3 and M4A without relying on external APIs or requiring an API key, ensuring privacy.

Can I translate audio from another language into English text?▼

Yes, translation of audio from various languages into English text is supported. By running the Whisper model locally, you can convert spoken foreign language audio files into written English documents.

Do I need an API key to run Whisper for speech-to-text processing?▼

No, you do not need an API key to run speech-to-text processing. The Skill executes the Whisper binary locally, which requires the binary to be installed and configured on your machine for local model execution.

What audio formats work with local Whisper transcription?▼

Local Whisper transcription works with common audio file formats such as MP3 and M4A. You can specify a path to your audio file and use the CLI to output the transcription as a text file.

How do I transcribe a recorded meeting using the medium model?▼

To transcribe a recorded meeting, direct the Whisper CLI to transcribe the audio file located at your specified path using the medium model. The system will process the audio locally and output the transcription as a text file.

What is the best way to search and reference podcast audio content?▼

The best way to search and reference podcast content is local speech-to-text transcription. By converting spoken podcast audio into a text document using Whisper, you can easily search through the transcribed material for specific references.