whisper

Name: whisper
Availability: InStock
Author: ldzhhxx

Transcribe, translate, and identify languages in audio with OpenAI's Whisper model.

1|1|Updated May 9, 2026

Search Tags:#translation #speech recognition #audio processing #multilingual #speech-to-text

Ready to run

npx skills add https://github.com/ldzhhxx/Hermes_offline_v2 --skill whisper-ldzhhxx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/ldzhhxx/Hermes_offline_v2/tree/main/hermes-agent/optional-skills/mlops/whisper
Command: npx skills add https://github.com/ldzhhxx/Hermes_offline_v2 --skill whisper-ldzhhxx

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 simplifies the process of speech-to-text transcription, translation, and language identification across 99 languages, making it easy to extract and analyze audio content.

Core Features & Use Cases

Multilingual Support: Transcribe speech in 99 languages, translate to English, and identify the language of audio content.
Flexible Model Sizes: Choose from six model sizes ranging from tiny (39M params) to large (1550M params) to balance speed and accuracy.
Use Cases: Ideal for applications like speech-to-text, podcast transcription, meeting notes automation, and multilingual audio processing.

Quick Start

Transcribe audio from the file 'meeting_audio.mp3' using the Whisper model.

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's Whisper model?▼

To transcribe audio files to text using OpenAI's Whisper model, you can use this Skill to process audio inputs like meeting recordings and output multilingual speech-to-text transcriptions. It supports various audio processing tasks including podcast transcription.

Can I translate speech to English and identify the language of an audio recording?▼

Yes, you can translate speech to English and identify the language of an audio recording. This Skill provides language identification across 99 languages and translates non-English audio content directly into English text.

What Python version and libraries do I need for multilingual speech recognition?▼

For multilingual speech recognition, you need Python 3.8-3.11. You also need to install the openai-whisper, transformers, and torch libraries to ensure the speech-to-text transcription environment functions correctly.

How do I balance speed and accuracy when processing audio for speech-to-text conversion?▼

To balance speed and accuracy during speech-to-text conversion, you can choose from six Whisper model sizes. These range from a tiny 39M parameter model for faster processing to a large 1550M parameter model for higher transcription accuracy.

What is the best way to automate meeting notes and podcast transcription?▼

The best way to automate meeting notes and podcast transcription is using a multilingual speech-to-text processing Skill. It automatically extracts audio content and converts it into text, supporting 99 languages for versatile audio analysis.

Does openai-whisper work with the transformers and torch libraries for audio processing?▼

Yes, openai-whisper works with the transformers and torch libraries for audio processing. This Skill relies on these specific dependencies to execute multilingual speech recognition, language identification, and audio translation tasks.