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whisper-transcribe-docker

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Local audio to text transcription.

Software Engineering#transcription#whisper#docker#audio processing#local#speech-to-text
Authorhc-tec
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill converts audio files into text transcripts locally, eliminating the need for external APIs or cloud services and ensuring data privacy.

Core Features & Use Cases

  • Local Transcription: Utilizes the faster-whisper model for accurate speech-to-text conversion directly on your machine.
  • Audio File Input: Accepts audio files (e.g., .m4a) as input.
  • Timestamp Generation: Optionally includes timestamps for each transcribed segment.
  • Use Case: After downloading a podcast episode as an audio file, use this Skill to generate a full transcript for easy searching and summarization.

Quick Start

Transcribe the audio file located at /work/out/audio.m4a using the small model and output the transcript to /work/out/audio.txt.

Dependency Matrix

Required Modules

None required

Components

scriptsDockerfile

💻 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: whisper-transcribe-docker
Download link: https://github.com/hc-tec/my-collection-skills/archive/main.zip#whisper-transcribe-docker

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