whisperx-transcribe

Transcribe audio files to timestamped text using WhisperX large-v3 with GPU acceleration.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/rollrat/.skills --skill whisperx-transcribe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisperx-transcribe
Source: https://github.com/rollrat/.skills/tree/main/whisperx-transcribe
Command: npx skills add https://github.com/rollrat/.skills --skill whisperx-transcribe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the transcription of audio files into text, making spoken content searchable and editable.

Core Features & Use Cases

  • Accurate Transcription: Utilizes WhisperX (large-v3 model with GPU acceleration) for high-quality audio-to-text conversion.
  • Timestamped Output: Generates .txt files with precise timestamps for each transcribed segment, aiding in content review and editing.
  • Wide Format Support: Handles various audio formats like m4a, mp3, wav, mp4, flac, ogg, and webm.
  • Use Case: Transcribe a recorded meeting or a podcast episode to quickly generate a searchable transcript with accurate timings for key discussion points.

Quick Start

Use the whisperx-transcribe skill to transcribe the audio file located at C:/Users/rollrat/Desktop/workspace/voicetest/녹음.m4a.

Frequently Asked Questions about whisperx-transcribe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe an m4a audio file to text with timestamps?

You can transcribe m4a, mp3, wav, mp4, flac, ogg, and webm files. The Skill processes these audio formats using the WhisperX large-v3 model and GPU acceleration, outputting timestamped text files for accurate content review.

Does WhisperX speech-to-text require a GPU to run?

WhisperX speech-to-text leverages GPU acceleration to run the large-v3 transcription model efficiently. This GPU optimization provides the processing speed needed to convert spoken audio into written text records rapidly.

Can I transcribe Korean audio automatically without specifying the language?

You can transcribe Korean audio automatically because the speech-to-text process includes automatic language detection that defaults to Korean. This enables direct processing of spoken Korean audio into written text without manual configuration.

What is the best way to convert recorded meetings into searchable text?

The best way to convert recorded meetings into searchable text is using WhisperX transcription, which generates timestamped text files from spoken audio. This makes meeting content searchable and editable for key point review and documentation.

What audio formats are supported for speech-to-text conversion?

Supported audio formats for speech-to-text conversion include m4a, mp3, wav, mp4, flac, ogg, and webm. The WhisperX large-v3 model processes these file types to generate timestamped text transcripts of the spoken audio content.