whisper

Transcribe multilingual audio to text with language detection and translation.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/KarlinskyS/hermesSkills --skill whisper-karlinskys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/KarlinskyS/hermesSkills/tree/main/mlops/models/whisper
Command: npx skills add https://github.com/KarlinskyS/hermesSkills --skill whisper-karlinskys

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Whisper automates the transcription and translation of audio across 99 languages, reducing manual listening time and enabling multilingual content workflows.

Core Features & Use Cases

  • Multilingual Transcription: Convert speech in 99 languages into accurate text for archives, captions, and search.
  • Translation to English: Translate non-English transcripts into English for quick localization and comprehension.
  • Language Detection & Model Variants: Automatically identify language and select model sizes (tiny to large) for speed or accuracy, including GPU acceleration when available.

Quick Start

Install the Whisper package and transcribe a sample audio file to see results.

Frequently Asked Questions about whisper

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

FAQPage Schema
How do I transcribe multilingual audio to text automatically?

To transcribe multilingual audio, Whisper automatically detects the spoken language and converts it into accurate text. It supports 99 languages, making it suitable for transcribing podcasts, meetings, and interviews without manual intervention.

Can I translate non-English audio transcripts into English?

Yes, you can translate non-English audio transcripts into English. Whisper provides translation to English for quick localization, allowing you to comprehend multilingual content by converting foreign language speech directly into English text.

Does audio transcription support scalable model selection for speed and accuracy?

Yes, audio transcription supports scalable model selection for speed and accuracy. Whisper offers model variants from tiny to large, automatically selecting the appropriate size and utilizing GPU acceleration when available to balance processing speed.

What is the best way to generate video captions for multilingual content?

The best way to generate video captions for multilingual content is using automated transcription with language detection. Whisper identifies the language spoken in the audio and transcribes it into text, which can then be formatted into captions for video localization.

How does language detection work in multilingual audio processing?

Language detection in multilingual audio processing works by automatically identifying the spoken language within the audio file. Whisper analyzes the audio input, determines the language, and applies the appropriate transcription model to convert the speech to text.