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openai-whisper

Transcribe audio files locally into text using the Whisper CLI.

Updated Feb 15, 2026
Search Tags:#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/badbsallyy/openclaw-source-code --skill openai-whisper-badbsallyy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/badbsallyy/openclaw-source-code/tree/main/openclaw-sourcecode.zip/skills/openai-whisper
Command: npx skills add https://github.com/badbsallyy/openclaw-source-code --skill openai-whisper-badbsallyy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables local speech-to-text transcription of audio files without requiring an API key, making it a cost-effective and private solution for converting spoken words into text.

Core Features & Use Cases

  • Local Transcription: Transcribes audio files directly on your machine using the Whisper CLI.
  • No API Key Needed: Operates independently of any cloud-based API services.
  • 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, outputting the result 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 audio files locally without an API key?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI, converting audio files into text without requiring any cloud-based API key. This approach ensures data privacy and eliminates API usage costs.

Do I need to install the Whisper CLI to transcribe audio on my machine?▼

Yes, local speech-to-text transcription requires the Whisper CLI binary to be installed and available in your system's PATH. The Skill operates independently of cloud APIs by executing this local command-line tool.

Can I use local speech-to-text to transcribe recorded lectures and interviews?▼

Local speech-to-text transcription is applicable for transcribing lectures, interviews, and audio notes. It processes recorded audio files directly on your machine to generate searchable text documents.

What is the best way to convert spoken audio into text without cloud services?▼

Using the Whisper CLI for local speech-to-text transcription is a cost-effective and private solution to convert spoken words into text. It processes audio files entirely on your machine without sending data to external servers.

Why choose local transcription over cloud-based speech-to-text APIs?▼

Local transcription with the Whisper CLI operates independently of cloud-based API services, making it a cost-effective and private solution. It processes audio files directly on your machine without requiring an API key.

Does local speech-to-text transcription work without an internet connection?▼

Local speech-to-text transcription using the Whisper CLI operates independently of any cloud-based API services. Because it processes audio directly on your machine without requiring an API key, it functions without an internet connection.

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