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openai-whisper

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Transcribe audio locally, convert speech to text without API calls.

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

System Documentation

What problem does it solve?

This Skill provides offline speech-to-text capabilities, allowing you to transcribe audio files without internet connectivity or external API dependencies.

Quick Start

Transcribe the audio file 'interview.mp3' using the medium model and save the output as text format.

Core Features & Use Cases

  • Local Transcription: Process audio files on your device without sending data to external servers.

Quick Start

Transcribe 'podcast_episode.m4a' and translate it to English using the translate task.

Dependency Matrix

Required Modules

whisper

Components

Standard package

💻 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
Download link: https://github.com/steipete/clawdis/archive/main.zip#openai-whisper

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