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openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

1|1|Updated Feb 17, 2026
Search Tags:#transcription#whisper#audio processing#local#privacy#speech-to-text
One-click install
npx skills add https://github.com/qsimeon/openclaw-engaging --skill openai-whisper-qsimeon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/qsimeon/openclaw-engaging/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/qsimeon/openclaw-engaging --skill openai-whisper-qsimeon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting spoken audio into written text, eliminating the need for cloud-based services and API keys.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
  • Multiple Languages: Supports transcription in various languages.
  • Translation: Can translate audio from supported languages into English.
  • Use Case: You need to transcribe a meeting recording without sending sensitive audio data to a third-party service. Use this Skill to get a local text transcript.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output 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 sending data to the cloud?▼

To transcribe audio files locally, you can use a CLI speech-to-text tool that processes audio directly on your machine, ensuring privacy without requiring third-party API keys.

Can I use speech-to-text for secure meeting transcription without API keys?▼

Yes, local speech-to-text transcription supports secure meeting transcription by processing audio files entirely on your machine, eliminating the need for cloud-based services or API keys.

How do I translate spoken audio to English text using a local CLI?▼

You can translate spoken audio to English text by running the local speech-to-text CLI, which supports translation from various languages into English while processing data privately.

Do I need to install the whisper binary to perform local audio transcription?▼

Yes, you need the whisper binary installed and accessible in your system's PATH to execute local speech-to-text transcription and translation tasks using this approach.

What is the best way to convert voice notes to text without compromising privacy?▼

The best way to convert voice notes to text privately is using a local speech-to-text solution, which transcribes audio files directly on your hardware without uploading sensitive data.

Does local transcription support multiple languages or just English?▼

Local transcription supports multiple languages for both direct audio transcription and translation into English, allowing you to process diverse voice recordings securely.

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