VideoGen Messenger

Enterprise-grade AI video generation for iMessage and messaging platforms. Like Giphy, but for AI-generated videos.

Overview

VideoGen Messenger allows users to search, generate, and share AI-powered videos directly within iMessage and other messaging platforms. The hybrid architecture combines instant pre-generated content with on-demand AI generation for unlimited creative possibilities.

Key Features

• AI Video Generation: Create custom videos using Google Veo 3, Runway Gen-3, and other cutting-edge AI models
• Instant Library: 1,000+ pre-generated trending videos for immediate sharing
• Smart Search: Elasticsearch-powered search with machine learning relevance
• Native iMessage: Deep iOS integration with Messages framework
• Global CDN: Fast delivery via CloudFront/Fastly edge network
• Content Moderation: AI-powered pre and post-generation moderation
• Monetization Ready: Tiered pricing, API access, marketplace

Architecture

Hybrid Three-Tier Model

• Tier 1 (90%): Pre-generated library - Instant delivery
• Tier 2 (8%): Fast AI generation - 30-90 seconds
• Tier 3 (2%): Premium quality - 1-3 minutes

Technology Stack

Frontend (iOS)

• Swift 5.9+ / SwiftUI
• MSMessagesAppViewController
• AVFoundation for video playback
• URLSession networking

Backend

• API: Node.js/Express or Go
• Search: Elasticsearch 8.x
• Queue: BullMQ + Redis
• Storage: AWS S3
• CDN: CloudFront/Fastly
• Database: PostgreSQL + DynamoDB

AI Generation

• Primary: Google Veo 3 Fast
• Secondary: Minimax/HeyGen
• Premium: Runway Gen-3
• Templates: Remotion

Security & Moderation

• Azure AI Content Safety
• Multi-DRM (Widevine, FairPlay, PlayReady)
• OAuth2 + JWT authentication

Project Structure

VideoGenMessenger/
├── ios/                          # iOS iMessage extension
│   ├── VideoGenMessenger/        # Main app
│   └── VideoGenMessengerExtension/ # iMessage extension
├── backend/                      # Backend services
│   ├── api/                      # REST API
│   ├── services/                 # Microservices
│   │   ├── generation/          # Video generation service
│   │   ├── search/              # Search service
│   │   ├── moderation/          # Content moderation
│   │   └── analytics/           # Analytics service
│   ├── config/                  # Configuration files
│   └── utils/                   # Shared utilities
├── infrastructure/              # IaC (Terraform/CDK)
├── docs/                        # Documentation
└── assets/                      # Static assets

Getting Started

Prerequisites

• Xcode 15.0+
• iOS 17.0+
• Node.js 18+ or Go 1.21+
• Redis 7.0+
• PostgreSQL 15+
• AWS Account
• Google Cloud Account (for Veo 3 API)

Installation

1. Clone the repository

cd VideoGenMessenger

2. Set up iOS project

cd ios
# Open VideoGenMessenger.xcodeproj in Xcode
# Configure signing and provisioning

3. Set up backend

cd backend/api
npm install
cp .env.example .env
# Configure environment variables
npm run dev

4. Set up infrastructure

cd infrastructure
terraform init
terraform plan
terraform apply

Configuration

1. API Keys: Add to .env file

   • GOOGLE_VEO_API_KEY
   • AWS_ACCESS_KEY_ID
   • AWS_SECRET_ACCESS_KEY
   • REDIS_URL
   • DATABASE_URL

2. App Groups: Configure in Xcode

   • group.com.yourcompany.videogenmessenger

3. CDN: Set up CloudFront distribution

   • Origin: S3 bucket
   • Cache behaviors for video content

Development Roadmap

Phase 1: MVP (Months 1-2) In Progress

• Project structure
• iOS iMessage extension
• Basic API endpoints
• Google Veo 3 integration
• S3 + CloudFront setup
• Basic search (Elasticsearch)
• Queue system (BullMQ)

Phase 2: Scale (Months 3-4)

• Android SDK
• Advanced caching
• Monetization implementation
• Analytics dashboard
• Enhanced moderation

Phase 3: Enterprise (Months 5-6)

• Multi-region deployment
• Custom model fine-tuning
• White-label offering
• Advanced analytics
• SLA monitoring

API Documentation

Endpoints

Search Videos

GET /api/v1/search?q=happy+birthday&limit=20

Generate Video

POST /api/v1/generate
{
  "prompt": "A happy birthday celebration with balloons",
  "quality": "hd",
  "duration": 5
}

Trending Videos

GET /api/v1/trending?limit=50

See API Documentation for complete reference.

Performance Targets

• API Uptime: 99.95%
• Search Latency: <500ms P95
• Video Delivery: <2s start time
• Generation Time: <90s P90
• Cache Hit Rate: >60%

Cost Estimation

At 10K Daily Active Users:

• AI Generation: $15K-60K/month
• Infrastructure: $500-1K/month
• CDN: $200-500/month
• Total: ~$17K-67K/month

Revenue Target:

• 500-1,000 paying users @ $50-200/month
• Break-even: $50K-200K/month

Security

• Authentication: OAuth2 + JWT
• Content Moderation: Pre + post generation AI scanning
• DRM: Multi-DRM for premium content
• Compliance: GDPR, CCPA compliant
• Rate Limiting: Token bucket algorithm

Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

License

Copyright (c) 2025. All rights reserved.

Support

• Documentation: docs/
• Issues: GitHub Issues
• Email: [email protected]

Acknowledgments

• Research based on Giphy, Netflix, Instagram, TikTok, and YouTube architectures
• AI providers: Google (Veo 3), Anthropic (Claude), Runway, Minimax
• Infrastructure: AWS, Fastly, Elasticsearch