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openai-whisper

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

93|20|Updated Jan 31, 2026
Search Tags:#translation#transcription#whisper#audio processing#local#speech-to-text
One-click install
npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill openai-whisper-seedprod
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/seedprod/openclaw-prompts-and-skills/tree/main/.claude/skills/openai-whisper
Command: npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill openai-whisper-seedprod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local, privacy-preserving solution for converting spoken audio into written text without relying on cloud-based 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 spoken audio from various languages into English text.
  • Use Case: Transcribe a meeting recording or a voice memo into a text document for easier review and searching.

Quick Start

Use whisper to transcribe the audio file located at /path/to/meeting.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 audio files locally without sending data to the cloud?▼

Local speech-to-text transcription can be performed directly on your machine using the OpenAI Whisper CLI, converting audio files like meetings or voice notes into text without relying on cloud-based APIs.

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

No API key is required for local speech-to-text processing. The Skill operates entirely offline using the Whisper binary, providing a privacy-preserving solution that does not depend on cloud-based APIs or authentication.

Can I translate spoken audio from other languages into English text locally?▼

Yes, local translation of spoken audio from various languages into English text is supported. The Whisper CLI processes the audio file directly on your machine to generate the translated English text output.

What are the requirements to run local transcription with Whisper?▼

Running local transcription requires the whisper binary to be installed and accessible in your system's PATH. Once installed, you can process audio files like meeting recordings directly on your machine.

What's the best way to transcribe a meeting recording into a text document?▼

The best way to transcribe a meeting recording into a text document is using local speech-to-text processing with the Whisper CLI, which outputs the transcription as a text file for easier review and searching.

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