whisper

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

1|1|Updated May 25, 2026
One-click install
npx skills add https://github.com/aayushsoam/clawbot-agent --skill whisper-aayushsoam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/aayushsoam/clawbot-agent/tree/main/optional-skills/mlops/whisper
Command: npx skills add https://github.com/aayushsoam/clawbot-agent --skill whisper-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables accurate transcription, translation, and language identification of speech in various languages and audio formats, solving the need for automated speech processing in a wide range of applications.

Core Features & Use Cases

  • Multilingual Speech Recognition: Support for 99 languages with high accuracy.
  • Audio Transcription: Converts speech to text with various models for different use cases.
  • Translation to English: Offers automatic translation from any language to English.
  • Use Case: Ideal for creating captions for videos, real-time transcriptions during meetings, or indexing audio content for easy search and retrieval.

Quick Start

To transcribe an audio file, use the whisper skill with the command 'whisper audio.mp3'.

Frequently Asked Questions about whisper

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

FAQPage Schema
How do I transcribe audio files to text using OpenAI Whisper?

To transcribe audio files to text using OpenAI Whisper, you run the whisper command with your audio file. It converts speech from various audio formats into accurate text using models suitable for different use cases.

Can Whisper automatically detect and transcribe speech in different languages?

Yes, Whisper can automatically detect and transcribe speech in different languages. It supports multilingual speech recognition across 99 languages, identifying the spoken language before converting the audio to text.

How do I translate audio speech to English text from another language?

To translate audio speech to English text from another language, Whisper processes the audio file and generates an English translation. It automatically detects the source language and provides an English text output.

Do I need PyTorch and Transformers installed to run Whisper for speech recognition?

Yes, you need PyTorch and Transformers installed to run Whisper for speech recognition. The Skill requires the openai-whisper, transformers, and torch libraries to execute its transcription and language detection functions.

What is the best way to generate podcast transcriptions and meeting notes from audio?

The best way to generate podcast transcriptions and meeting notes from audio is using Whisper for speech recognition. It processes audio files to create accurate text transcriptions suitable for indexing and retrieving audio content.

Are there limitations when using Whisper for real-time transcription during meetings?

Whisper processes audio files for transcription rather than offering native real-time streaming. While suitable for generating meeting notes, it requires pre-recorded audio input to execute its speech-to-text conversion successfully.