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Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
Problem solved
This framework solves the problem of AI assistants lacking native video understanding by bridging the gap between video files and Claude's multimodal capabilities. It eliminates the need for manual frame extraction or separate transcription pipelines, allowing Claude to directly analyze video content in context, with adaptive extraction based on user queries.
Deployment reality
The available setup signal starts with: /plugin marketplace add https://github.com/jordanrendric/claude-video-vision. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build workflows where Claude can analyze video tutorials, bug reports, lectures, or YouTube content directly from the command line. Use cases include summarizing long videos, extracting on-screen text, identifying code in tutorials, and answering questions about specific timestamps. The ceiling is high: with adaptive frame extraction and multiple audio backends, Claude can handle everything from quick clips to hour-long lectures, making it a versatile tool for video-based research, education, and debugging.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
jordanrendric/claude-video-vision is tracked as a TypeScript project in the MCP Server, Infrastructure area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 1.2k total stars, with +25 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 17 days ago, and the open issue queue is 16, about 1.37% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 141 forks and 1.2k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 25. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
1.2k Stars
Reuse
141 Forks
Attention
1.2k Watchers
Maintenance
active
License
MIT
Open issues
16
Claude Code Video Vision is a Claude Code plugin that gives Claude the ability to watch and understand videos by extracting frames via ffmpeg and processing audio through multiple backends (Gemini API, local Whisper, or OpenAI API). It provides Claude with visual frames and timestamped audio transcriptions, acting as a perception layer for video analysis.
Key Features
- Multimodal perception: Claude sees video frames and reads audio transcriptions with timestamps - YouTube URL support: Downloads videos via yt-dlp, preserving metadata and captions - Flexible backends: Choose between cloud APIs (Gemini, OpenAI) or fully local processing (Whisper) - Adaptive extraction: Claude adjusts fps, time range, and resolution based on the user's question - Interactive setup wizard: /setup-video-vision guides configuration
MCP Server
Model Context Protocol servers, clients, and integrations
Infrastructure
Cloud, deployment, networking, containers, and platform tooling
/plugin marketplace add https://github.com/jordanrendric/claude-video-vision73
Health Score
Active
Commit Activity
Mar 31, 2026
Created
Aug 7, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
jordanrendric
GitHub profilefreeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
awesome-selfhosted/awesome-selfhosted
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react/react
The library for web and native user interfaces.
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
vuejs/vue
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
This framework solves the problem of AI assistants lacking native video understanding by bridging the gap between video files and Claude's multimodal capabilities. It eliminates the need for manual frame extraction or separate transcription pipelines, allowing Claude to directly analyze video content in context, with adaptive extraction based on user queries.
Capabilities
Developers can build workflows where Claude can analyze video tutorials, bug reports, lectures, or YouTube content directly from the command line. Use cases include summarizing long videos, extracting on-screen text, identifying code in tutorials, and answering questions about specific timestamps. The ceiling is high: with adaptive frame extraction and multiple audio backends, Claude can handle everything from quick clips to hour-long lectures, making it a versatile tool for video-based research, education, and debugging.
Bottom Line
This plugin is ideal for developers who use Claude Code and need to analyze video content without leaving their terminal, offering flexibility in audio processing (cloud or local). It should be avoided by those who prefer a fully integrated GUI or who lack the required dependencies (ffmpeg, Node.js). The key trade-off is between convenience and setup complexity, with the plugin providing powerful perception but requiring initial configuration and external tools.