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io.github.BrightWayAI/video-analyzer

Registre officiel Médias et design

Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.

Code source Documentation

Que pouvez-vous faire avec io.github.BrightWayAI/video-analyzer ?

  • Frame Extraction — Scene-detection-based keyframe selection (or fixed intervals)
  • Audio Transcription — Timestamped transcription via OpenAI Whisper
  • Visual Analysis — Per-frame descriptions using Claude Vision
  • Stylistic Fingerprint v3 — 8-field deterministic classification (rendering class, world type, character strategy, narrative structure, visual abstraction, visual density, camera language, tonal positioning)
  • Storyboard Output — Combined shot-by-shot breakdown as .docx or .md

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package video-analyzer-mcp
Claude Code 
claude mcp add video-analyzer -- uvx video-analyzer-mcp==0.1.2
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "video-analyzer": {
            "command": "uvx",
            "args": [
                "video-analyzer-mcp==0.1.2"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Video Analyzer
  2. Features
  3. MCP Server
  4. Standalone Usage
  5. Prerequisites
  6. Stylistic Fingerprint Fields
  7. License

Video Analyzer

Analyze videos and generate storyboard breakdowns. Extracts frames via scene detection, transcribes audio with Whisper, analyzes visuals with Claude Vision, and computes 8-field stylistic fingerprints.

Features

  • Frame Extraction — Scene-detection-based keyframe selection (or fixed intervals)
  • Audio Transcription — Timestamped transcription via OpenAI Whisper
  • Visual Analysis — Per-frame descriptions using Claude Vision
  • Stylistic Fingerprint v3 — 8-field deterministic classification (rendering class, world type, character strategy, narrative structure, visual abstraction, visual density, camera language, tonal positioning)
  • Storyboard Output — Combined shot-by-shot breakdown as .docx or .md

MCP Server

This project includes an MCP (Model Context Protocol) server so you can use video analysis directly from Claude Desktop or Claude Code.

Install via Claude Code
claude mcp add video-analyzer -s user -- uvx video-analyzer-mcp
Install via Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "video-analyzer": {
      "command": "uvx",
      "args": ["video-analyzer-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}
MCP Tools
ToolDescription
video_analyzeFull pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard
video_extract_framesExtract representative frames using scene detection or fixed intervals
video_transcribeTranscribe audio with OpenAI Whisper
video_fingerprintGenerate 8-field Stylistic Fingerprint v3 classification
video_check_depsVerify all required dependencies are installed

Standalone Usage

pip install -r requirements.txt
python3 analyze_video.py "https://youtube.com/watch?v=..." --output-dir ./output

Prerequisites

  • Python 3.10+
  • FFmpeg — brew install ffmpeg (macOS) or apt-get install ffmpeg (Linux)
  • ANTHROPIC_API_KEY — set as an environment variable

Stylistic Fingerprint Fields

  1. Rendering Class — Stylized 3D, Flat 2D, Minimalist Line Art, Textured 2D, Mixed Media, Photoreal
  2. World Type — Stylized Real-World, Abstract Concept Space, Data/Presentation Space, Fictional Metaphor Universe
  3. Character Strategy — None, Mascot-Led, Single Narrator, Single Protagonist Arc, Ensemble Cast
  4. Narrative Structure — Direct Explanation, Step-by-Step, Problem-Solution, Analogy, Myth-Busting, etc.
  5. Visual Abstraction Index — 1 (Photorealistic) to 5 (Maximum Abstraction)
  6. Visual Density — Minimal, Sparse, Moderate, High
  7. Camera/Editing Language — Cinematic, Social Vertical Punch, Presentation Deck, Static Slides, etc.
  8. Tonal Positioning — Institutional, Corporate Professional, Gen Z Social, Child-Friendly, Dark Editorial

License

MIT

Questions fréquentes

Qu'est-ce que io.github.BrightWayAI/video-analyzer ?

Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.

Comment installer io.github.BrightWayAI/video-analyzer ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add video-analyzer -- uvx video-analyzer-mcp==0.1.2. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.BrightWayAI/video-analyzer ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.BrightWayAI/video-analyzer est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient io.github.BrightWayAI/video-analyzer ?

Il est publié par BrightWayAI. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.