Claude Code Video Vision

Give Claude the ability to watch and understand videos.

A Claude Code plugin that extracts frames via ffmpeg and processes audio via multiple backends (Gemini API, local Whisper, or OpenAI API). Claude receives frames as images and audio transcription with timestamps — the plugin is a perception layer, not an interpretation layer.

Features

• Multimodal perception — Claude sees video frames directly and reads audio transcriptions with timestamps
• YouTube URL support — Pass a YouTube URL directly; the MCP server downloads it with yt-dlp, preserving source metadata and captions for context
• Flexible backends — Choose between cloud APIs or fully local processing
• Adaptive extraction — Claude adjusts fps, time range, and resolution based on your question
• Auto-installation — Whisper models download automatically on first use
• Interactive setup wizard — /setup-video-vision walks you through configuration

Quick Start

1. Install the plugin

Inside Claude Code, run these commands one at a time:

/plugin marketplace add https://github.com/jordanrendric/claude-video-vision

Then:

/plugin install claude-video-vision

The MCP server will auto-install via npx from npm on first use — no build step required.

Alternative: local development

git clone https://github.com/jordanrendric/claude-video-vision.git
claude --plugin-dir /path/to/claude-video-vision

2. Configure

Inside Claude Code, run the interactive wizard:

/claude-video-vision:setup-video-vision

It will walk you through backend selection, whisper configuration (if local), frame options, and dependency verification.

Usage

Slash command

/watch-video path/to/video.mp4
/watch-video tutorial.mp4 "what language is used in this tutorial?"
/watch-video https://www.youtube.com/watch?v=... "summarize this video"

Conversational

Just mention a video file or YouTube URL — Claude will detect it:

"analyze this video for me: ~/Downloads/demo.mp4"

"take a look at the first second of ~/videos/bug-report.mov"

"summarize this YouTube Short: https://www.youtube.com/shorts/..."

Claude adapts parameters automatically:

• "the first second" → extracts at original fps from 00:00:00 to 00:00:01
• "summarize this 1h lecture" → low fps, full duration
• "what text is on screen at 1:30?" → high resolution, narrow time window

Backends

Backend	Audio processing	Cost	Setup
Gemini API	Native (speech + non-speech events)	Free tier: 1500 req/day	GEMINI_API_KEY env var
Local (Whisper)	whisper.cpp or Python openai-whisper	Free, fully offline	brew install whisper-cpp + auto model download
OpenAI API	OpenAI Whisper API	Paid per usage	OPENAI_API_KEY env var

All backends extract video frames via ffmpeg — Claude always has direct visual access.

Architecture