AI Video Compliance Dashboard

Enterprise-grade compliance scanning and certification for AI-generated video projects.

What is this?

A production-ready web dashboard that analyzes AI video projects (Clapper, MimicMotion, Runway workflows) and generates audit trails with full model provenance tracking, training data license verification, and EU AI Act compliance scoring. It integrates your existing synth-provenance-api and eu-compliance-certificate-generator into a polished SaaS interface that studios can confidently use to ship AI video to enterprise clients with legal documentation.

Features

• Drag-and-drop video upload with automatic metadata extraction
• Real-time provenance scanning – detects Stable Diffusion, Runway, Pika, and other model signatures
• EU AI Act compliance scoring with specific Article citations (Articles 10, 52, etc.)
• One-click PDF certificate generation with studio branding options
• API integration for Clapper/MimicMotion projects via webhooks and CLI plugins
• Compliance dashboard – track audit trails and certification history across projects
• Team collaboration – multi-user accounts with role-based access
• Freemium SaaS billing – integrated Stripe for subscriptions and metering

Quick Start

Prerequisites

• Python 3.11+
• PostgreSQL 14+
• Docker & Docker Compose (optional)

Installation

1. Clone and install dependencies:

   pip install -r requirements.txt
   

2. Configure environment:

   cp .env.example .env
   # Edit .env with your API keys, database URL, Stripe credentials
   

3. Run database migrations:

   alembic upgrade head
   

4. Start the application:

   python app/main.py
   

   Or with Docker:

   docker-compose up -d
   

5. Access the dashboard at http://localhost:8000

Usage Examples

Upload and scan a video project

curl -X POST http://localhost:8000/api/projects \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -F "file=@video.mp4" \
  -F "project_name=Q1 Campaign"

Generate compliance certificate

curl -X POST http://localhost:8000/api/certificates \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "project_id": "proj_123",
    "studio_name": "Acme Studios",
    "include_branding": true
  }'

Webhook integration (MimicMotion/Clapper)

# Configure webhook endpoint in your video tool:
POST /api/webhooks/video-export
{
  "project_id": "clapper_proj_456",
  "video_url": "s3://bucket/video.mp4",
  "model_metadata": {...}
}

Tech Stack

• Backend: FastAPI + SQLAlchemy
• Database: PostgreSQL with Alembic migrations
• Authentication: JWT-based auth with role-based access control
• Integrations: Stripe (billing), synth-provenance-api (model detection), eu-compliance-certificate-generator (PDF certificates)
• Deployment: Docker, Docker Compose
• API Documentation: Auto-generated OpenAPI/Swagger at /docs

Project Structure

app/
├── main.py              # FastAPI application
├── config.py            # Environment and app configuration
├── database.py          # SQLAlchemy setup
├── models.py            # Database models
├── schemas.py           # Pydantic request/response schemas
├── auth.py              # JWT and auth logic
└── routers/
    ├── auth.py          # User login/registration
    ├── projects.py      # Video project endpoints
    ├── scans.py         # Compliance scanning
    ├── certificates.py  # PDF generation
    ├── subscriptions.py # Stripe billing
    └── webhooks.py      # Inbound integrations

Environment Variables

See .env.example for all required variables. Key settings:

• DATABASE_URL – PostgreSQL connection string
• STRIPE_API_KEY – Stripe secret key for billing
• SYNTH_PROVENANCE_API_URL – Your model detection microservice
• EU_COMPLIANCE_API_URL – Your compliance certificate generator
• JWT_SECRET – Secret key for token signing

API Documentation

Full interactive API docs available at /docs (Swagger UI) or /redoc (ReDoc) after starting the server.

License

MIT