openai-whisper

Transcribe and translate local audio files using the Whisper CLI.

10|Updated Mar 12, 2026

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

Ready to run

npx skills add https://github.com/wixette/clawnotes --skill openai-whisper-wixette

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/wixette/clawnotes/tree/main/openclaw-snapshots/20260312/skills/openai-whisper
Command: npx skills add https://github.com/wixette/clawnotes --skill openai-whisper-wixette

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local speech-to-text transcription without needing an API key, making audio processing more private and cost-effective.

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: Transcribe a meeting recording or a podcast episode locally to get a text transcript for easier searching and referencing.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3, saving the output as a text file in the current directory.

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 using an external API?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI. This processes audio files like interviews and lectures without relying on external APIs, ensuring privacy and cost-effectiveness.

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

Yes, local translation of spoken audio into different languages is supported. By using the Whisper CLI, you can process audio files on your machine to translate spoken content without needing external API keys.

Do I need an API key to process speech-to-text on my machine?▼

No API key is needed to process speech-to-text on your machine. Local transcription operates entirely offline using the Whisper CLI, making audio processing more private and avoiding external API costs.

What are the requirements to run local transcription for voice notes?▼

To run local transcription for voice notes, the 'whisper' binary must be installed and accessible in your system's PATH. Once the CLI is configured, you can process audio files directly without external dependencies.

Does local audio processing work for transcribing podcast episodes?▼

Yes, local audio processing works for transcribing podcast episodes. Using the Whisper CLI, you can transcribe podcast audio locally to generate text transcripts for easier searching, referencing, and content management.

What is the best way to transcribe meeting recordings without uploading them?▼

The best way to transcribe meeting recordings without uploading them is through local speech-to-text processing. Using the Whisper CLI ensures your meeting audio remains completely private while generating accurate text transcripts on your machine.