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Muchunpeng
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openai-whisper

Transcribe audio files locally into text using the Whisper CLI.

Updated Apr 6, 2026
Search Tags:#cli#ai#offline#transcription#whisper#local#speech-to-text
One-click install
npx skills add https://github.com/Muchunpeng/openclaw-config --skill openai-whisper-muchunpeng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/Muchunpeng/openclaw-config/tree/main/workspace/skills/openai-whisper
Command: npx skills add https://github.com/Muchunpeng/openclaw-config --skill openai-whisper-muchunpeng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribes audio locally into text using the Whisper CLI without requiring an API key or internet access.

Core Features & Use Cases

  • Offline transcription using the Whisper CLI with model selection and translation options.
  • Local privacy-friendly conversion of audio to text for meetings, lectures, podcasts, and notes.
  • Use Case: Convert a recorded interview into a searchable transcript for notes.

Quick Start

Run whisper on an audio file to generate a local transcript.

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 to text locally without an internet connection?▼

You can perform offline transcription locally by running the Whisper CLI on your audio files, which converts speech to text without needing an API key or internet access.

Can I use local speech-to-text for private meeting recordings?▼

Yes, local speech-to-text using the Whisper CLI is privacy-friendly and suitable for transcribing meetings, interviews, lectures, and podcasts directly on your personal device.

Do I need an API key to convert audio files into text?▼

No, you do not need an API key to convert audio files into text because the transcription is processed locally using the Whisper binary on your host machine.

How does offline speech-to-text handle model selection and translation?▼

Offline speech-to-text with the Whisper CLI supports model selection and translation options, allowing you to specify the model and cache it locally for your transcription tasks.

What are the requirements for running local audio transcription?▼

To run local audio transcription, you need a Whisper binary installed on your host machine to process the audio files and generate local transcripts.

What is the best way to transcribe podcasts without uploading data?▼

The best way to transcribe podcasts without uploading data is using local speech-to-text with the Whisper CLI, which keeps your audio files and text outputs entirely on your personal device.

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