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openai-whisper-local

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Local speech-to-text transcription.

Content & Communication#offline#transcription#whisper#audio processing#local#speech-to-text
Authoryunseo-kim
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a local, offline solution for converting audio files into text, eliminating the need for an internet connection or API keys.

Core Features & Use Cases

  • Offline Transcription: Transcribe audio files directly on your machine without relying on cloud services.
  • Configurable Models: Supports various Whisper model sizes, allowing you to balance speed and accuracy.
  • Use Case: Transcribe meeting recordings or voice notes securely on your local system, ensuring data privacy.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription to a text file.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: openai-whisper-local
Download link: https://github.com/yunseo-kim/agent-toolbox/archive/main.zip#openai-whisper-local

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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