Viral Veo

Inspiration

Content creators today face a massive gap: AI can generate amazing videos, but then what? You still need professional editing, captions, multiple formats for different platforms, and seamless publishing. After generating a video with AI, creators are left with complex workflows involving multiple tools just to make their content ready for social media.

We envisioned Viral-Veo as the missing bridge - a complete pipeline that takes you from a simple text prompt all the way to published, viral-ready content across all platforms.

What it does

Viral-Veo is a professional AI video generation and editing platform that provides:

• 🤖 AI Video Generation - Integration with Google's cutting-edge Veo-3 model
• 🎬 Professional Video Editor - Built-in Remotion editor with timeline, precise captions, and aspect ratio control
• 🎵 Real Music Integration - Live trending sounds from Apple Music APIs (iTunes/Deezer)
• 📺 One-Click Publishing - Professional YouTube publishing with metadata control and OAuth
• 🎨 Multi-Platform Export - 16:9 (YouTube), 9:16 (TikTok/Shorts), 1:1 (Instagram)
• ☁️ Production Infrastructure - Google Cloud Storage, automated token refresh, real-time collaboration

How we built it

Frontend:

• React 19 with TypeScript for modern, type-safe UI
• Remotion for professional video editing and real-time preview
• Custom black/white design system with responsive grid layout

Backend:

• Express.js API with comprehensive video processing pipeline
• Google Cloud Storage for scalable file management
• YouTube Data API v3 with OAuth 2.0 and auto-refresh tokens
• Apple Music API integration for trending sounds

Video Processing:

• Remotion Player for frame-accurate editing
• FFmpeg for video conversion and optimization
• Multi-format export system (16:9, 9:16, 1:1)
• Caption overlay system with precision timing

AI Integration:

• Google Veo-3 for state-of-the-art video generation
• Gemini 2.5 Flash for intelligent prompt enhancement
• Multi-shot prompt template system for better results

Challenges we ran into

• Real-time video processing - Implementing frame-accurate timeline scrubbing while maintaining 60fps preview
• OAuth complexity - Building seamless YouTube authentication with automatic token refresh
• Multi-format rendering - Creating a system that exports the same video optimized for different social platforms
• Production infrastructure - Setting up proper cloud storage, authentication, and deployment pipeline
• API rate limiting - Balancing real-time features with API quotas and costs

Accomplishments that we're proud of

• Complete working pipeline - Not just a prototype, but production-ready infrastructure
• Real YouTube integration - Actual videos published to live channels with metadata
• Professional editing tools - Timeline editor that rivals commercial video editing software
• Multi-API orchestration - Seamlessly integrating Google Cloud, YouTube, Apple Music, and AI models
• Modern tech stack - React 19, TypeScript, Remotion, Express.js with proper authentication and security

What we learned

• The complexity of professional video workflows and how AI can simplify them
• Real-time video processing optimization techniques
• OAuth flows and token management for production applications
• The importance of user experience in content creation tools
• How to build scalable cloud infrastructure for media processing

What's next for Viral-Veo

• Advanced editing features - Transitions, effects, and collaborative editing
• More AI models - Integration with additional video generation and enhancement models
• Creator marketplace - Platform for sharing templates, sounds, and effects
• Analytics dashboard - Performance tracking across all published content
• Mobile app - Native mobile editing and publishing capabilities

Built With

• apple-music-api
• express.js
• ffmpeg
• gemini-ai
• google-cloud
• google-veo-3
• node.js
• oauth
• react
• remotion
• tailwind-css
• typescript
• vite
• youtube-data-api