What video formats can I convert to?

The skill provides specialized commands to convert videos to MP4 (universal compatibility) and WebM (web-optimized streaming).

Does it support multi-language transcription?

Yes, you can manually specify a language code (e.g., en, es, zh) or let the Whisper model auto-detect the language from the audio.

Which video platforms are supported for downloading?

The skill uses yt-dlp, which supports downloading from YouTube and thousands of other video hosting websites.

Does this skill require external software to be installed?

Yes, for full functionality you must have yt-dlp, FFmpeg, and the OpenAI Whisper Python package installed in your environment.

Can I choose the accuracy of the transcription?

Yes, you can specify Whisper models ranging from 'tiny' (fastest, low RAM) to 'large' (best accuracy, higher RAM requirements).

Video Processor

Name: Video Processor
Author: iamzhihuix

byiamzhihuix

•

232

Content Management

Downloads, converts, and transcribes video content from YouTube and other platforms using yt-dlp, FFmpeg, and Whisper AI.

About

The Video Processor skill provides a unified interface for complex multimedia workflows, allowing users to seamlessly download videos from thousands of websites, extract high-quality audio, and perform AI-driven transcriptions. By integrating yt-dlp, FFmpeg, and OpenAI's Whisper model, it enables automated format conversion to MP4 or WebM and generates subtitles in various formats like SRT, VTT, and JSON. This skill is ideal for developers and content creators who need to batch-process video assets or extract textual data from multimedia content directly within their Claude Code environment.

Key Features

Automated audio extraction and optimization for transcription workflows
High-performance video conversion to web-optimized MP4 and WebM formats
232 GitHub stars
AI-powered speech-to-text using Whisper with adjustable model sizes
Universal video downloading from 1000+ sites via yt-dlp integration
Multi-format subtitle generation including SRT, VTT, and timestamped JSON

Use Cases

Converting legacy video files into modern, web-ready formats with optimized compression
Downloading and archiving educational videos or research material for local analysis
Generating accurate transcriptions and subtitles for interviews, lectures, or social media content

About

Key Features

Automated audio extraction and optimization for transcription workflows
High-performance video conversion to web-optimized MP4 and WebM formats
232 GitHub stars
AI-powered speech-to-text using Whisper with adjustable model sizes
Universal video downloading from 1000+ sites via yt-dlp integration
Multi-format subtitle generation including SRT, VTT, and timestamped JSON

Use Cases

Converting legacy video files into modern, web-ready formats with optimized compression
Downloading and archiving educational videos or research material for local analysis
Generating accurate transcriptions and subtitles for interviews, lectures, or social media content