whisper

Transcribe speech from audio files into text using OpenAI Whisper models.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/VYRE-Studios/Windows-Agentic-Framework --skill whisper-vyre-studios
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/VYRE-Studios/Windows-Agentic-Framework/tree/main/skills/mlops/models/whisper
Command: npx skills add https://github.com/VYRE-Studios/Windows-Agentic-Framework --skill whisper-vyre-studios

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Transcribing speech from audio files is time‑consuming and often requires complex setup; this Skill provides instant, accurate multilingual speech‑to‑text conversion.

Core Features & Use Cases

  • Multilingual transcription: Supports 99 languages with a single model.
  • Model flexibility: Choose from tiny to large or turbo for speed‑accuracy trade‑offs.
  • Audio formats: Handles common formats (mp3, wav, mp4) and can generate subtitles.
  • Use case example: Quickly create searchable transcripts for meetings, podcasts, or video subtitles without leaving the agent environment.

Quick Start

Use the whisper skill to transcribe the audio file 'meeting.mp3' into text.

Frequently Asked Questions about whisper

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

FAQPage Schema
How do I transcribe audio from an mp3 meeting recording into text?

To transcribe audio from an mp3 meeting recording, you can use the whisper skill to convert speech to text. It handles common audio formats and requires no complex setup to generate accurate multilingual transcripts instantly.

Can I generate subtitles for mp4 video files using speech-to-text?

Yes, you can generate subtitles for mp4 video files using this speech-to-text capability. The transcription tool processes common audio and video formats to create subtitle tracks quickly alongside standard text output.

How does multilingual speech-to-text handle languages other than English?

Multilingual speech-to-text handles non-English languages by using a single model that supports 99 languages. This allows you to transcribe podcasts and meetings in various languages without needing separate models.

Do I need GPU acceleration for accurate audio transcription?

You do not strictly need GPU acceleration for accurate audio transcription, but it is recommended for optimal performance. The skill allows you to choose from tiny to large models to trade speed for accuracy based on your hardware.

What is the best way to transcribe podcasts quickly without leaving my agent environment?

The best way to transcribe podcasts quickly is using the turbo model option, which balances speed and accuracy. You can create searchable text transcripts directly within your agent environment without complex external setup.

What are the limitations of using tiny models compared to large models for speech-to-text?

The limitation of using tiny models for speech-to-text is a potential decrease in accuracy compared to large models. You must select a model size based on your desired trade-off between processing speed and transcription accuracy.