whisper

Transcribe spoken audio to text using OpenAI's Whisper model.

6|3|Updated Jan 29, 2026

Search Tags:#translation #speech recognition #transcription #audio processing #ASR

Ready to run

npx skills add https://github.com/jonnabio/ace-framework --skill whisper-jonnabio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/whisper
Command: npx skills add https://github.com/jonnabio/ace-framework --skill whisper-jonnabio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-whisper, transformers, torch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill offers a comprehensive solution for converting spoken language into text, with support for 99 languages and various use cases, such as speech-to-text, transcription, and translation.

Core Features & Use Cases

Speech Recognition: Transcribe speech from various audio sources into text.
Multilingual Support: Offers 99 languages for global use.
Translation: Transcribe audio to English and other languages.
Use Case: Ideal for podcast transcription, meeting notes automation, or real-time language translation.

Quick Start

Transcribe the content of the 'meeting.mp3' file into English text.

Frequently Asked Questions about whisper

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

FAQPage Schema

How do I transcribe an audio file to text using OpenAI Whisper?▼

Audio transcription with OpenAI Whisper requires Python and the Whisper library to convert spoken language from sources like meeting recordings into readable text.

Can I translate multilingual audio to English text during transcription?▼

Yes, multilingual audio translation is supported. The speech recognition model identifies 99 languages and directly transcribes spoken audio content into English text.

Do I need Python and Torch to run Whisper for speech recognition?▼

Yes, running Whisper for speech recognition requires Python, along with the openai-whisper, transformers, and torch dependencies, to process audio and convert speech to text.

What is the best way to generate meeting notes from an MP3 file?▼

The best way to generate meeting notes from an MP3 file is using multilingual speech recognition. The Whisper model processes the audio source and transcribes spoken dialogue into text.

Does Whisper support language identification for automated transcription?▼

Yes, Whisper supports language identification for automated transcription. It automatically detects the spoken language among 99 options before converting audio to text.