Viralance: AI Video Generation Platform

AI-powered platform transforming images and text into viral social media videos

Team
1 Lead Developer
Platforms
Web
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Project Overview

Viralance is an AI-powered video generation platform that enables users to create viral social media content effortlessly. The platform transforms static images into dynamic videos and generates videos from text descriptions, optimized for TikTok, Instagram Reels, and YouTube Shorts. With over 500,000 videos generated and 10,000+ active creators, Viralance has become a go-to solution for e-commerce businesses, content creators, social media managers, and agencies seeking affordable video production at scale. The platform maintains a 4.8/5 user rating with 98% satisfaction rate. Built as a modern web application using Next.js and React, Viralance integrates multiple AI models including VEO 3.1, SORA 2, WAN 2.5, and Seedance for various video generation needs. The platform features smart scheduling, analytics, bulk generation capabilities, and direct social media integration for seamless content distribution.

The Challenge

Building an AI-powered video generation platform presented numerous complex technical challenges: **1. Multiple AI Model Integration** Integrating 6+ different AI models (VEO 3.1, SORA 2, WAN 2.5, Seedance Pro/Lite, MAGI-1) with varying APIs, response formats, and processing times. Each model had different capabilities, quality outputs, and cost structures that needed to be managed efficiently. **2. Video Processing Performance** Processing video generation requests at scale while maintaining fast response times. Videos could take 30 seconds to several minutes to generate, requiring robust queue management, progress tracking, and user notification systems. **3. Cost Optimization** Balancing video quality with generation costs across different AI models. Implementing a credit system that fairly represents computational costs while remaining affordable for users. Some models cost significantly more than others. **4. Social Media Optimization** Ensuring generated videos meet platform-specific requirements for TikTok (9:16 ratio), Instagram Reels (various ratios), and YouTube Shorts. Handling video encoding, compression, and format conversions automatically. **5. Quality Control** Implementing quality checks to filter out failed or low-quality generations. Some AI models occasionally produce artifacts, distortions, or unexpected results that needed to be detected and handled gracefully. **6. Scalability** Handling concurrent video generation requests from thousands of users. Managing server resources, API rate limits, and processing queues to ensure consistent performance during peak usage times. **7. User Experience** Creating an intuitive interface for complex video generation workflows. Users needed to easily configure parameters like motion intensity, style, duration, and aspect ratio without overwhelming technical details. **8. Content Delivery** Efficiently storing and delivering generated videos to users. Videos needed to be accessible immediately after generation and remain available for download, with automatic TikTok posting capability.

The Solution

I architected and developed a comprehensive AI video generation platform: **Multi-Model AI Integration** Integrated 6+ AI video generation models (VEO 3.1, SORA 2, WAN 2.5, Seedance Pro/Lite, MAGI-1) through a unified API abstraction layer. Built adapters for each model to normalize inputs/outputs, handle authentication, and manage different response formats. **Async Video Processing Queue** Implemented a robust job queue system using Bull and Redis for managing video generation requests. Each generation job is tracked with real-time status updates, progress notifications, and automatic retry logic for failed generations. **Credit System Architecture** Designed a flexible credit-based pricing system where different AI models consume varying amounts of credits (3-15 credits per video). Built subscription management with Stripe integration, automatic credit allocation, and usage tracking. **Video Processing Pipeline** Created an automated video processing pipeline that handles format conversions, aspect ratio adjustments (9:16 for TikTok, 1:1 for Instagram, etc.), video compression, and quality optimization. Used FFmpeg for video manipulation and encoding. **Smart Parameter Configuration** Built an intuitive UI for video generation with preset configurations for different use cases. Users can adjust motion intensity, style, duration (5-20 seconds), and platform-specific settings without understanding technical details. **Real-time Generation Monitoring** Implemented WebSocket connections for real-time progress updates during video generation. Users can see generation status, estimated completion time, and preview thumbnails as videos are being created. **Cloud Storage & CDN** Integrated AWS S3 for video storage with CloudFront CDN for fast global delivery. Implemented automatic cleanup of old videos and efficient thumbnail generation for quick previews. **TikTok Auto-Post Integration** Built direct TikTok API integration for automatic video posting. Users can schedule posts, add AI-generated captions and hashtags, and track posting status directly from the platform. **AI Caption & Hashtag Generation** Implemented GPT integration for automatically generating engaging captions and relevant hashtags based on video content. Used context from images/text prompts to create platform-optimized copy. **Trending Content Feed** Created a multi-region trending content discovery system that aggregates viral videos and trends from TikTok, Instagram, and YouTube. Updated daily with region-specific content for inspiration. **Bulk Generation System** Developed bulk video generation capability allowing users to create multiple videos simultaneously with CSV uploads or batch image processing. Implemented queue prioritization and progress tracking for bulk operations. **Analytics Dashboard** Built comprehensive analytics showing generation history, credit usage, video performance, and cost breakdowns. Integrated charts for usage patterns and ROI tracking.

Development Approach

1

Market Research: Analyzed competing AI video generation platforms, identified key features and pricing models, studied user pain points in content creation

2

AI Model Evaluation: Tested and compared 10+ AI video generation APIs, evaluated quality, speed, cost, and reliability for different use cases

3

System Architecture: Designed scalable backend architecture for async video processing, queue management, and multi-model AI integration

4

Core Platform Development: Built user authentication, credit system, subscription management, and video generation UI with Next.js and React

5

AI Integration: Integrated VEO, SORA, WAN, Seedance models with unified API abstraction, implemented error handling and retry logic

6

Video Processing Pipeline: Developed FFmpeg-based video processing for format conversion, compression, and platform-specific optimization

7

Real-time Features: Implemented WebSocket connections for live generation progress, queue status updates, and instant notifications

8

Social Media Integration: Built TikTok auto-post API, AI caption/hashtag generation with GPT, trending content aggregation system

9

Payment System: Integrated Stripe for subscriptions, credit packages, and automated billing with usage tracking

10

Bulk Features: Developed batch video generation, CSV upload processing, queue prioritization for enterprise users

11

Analytics & Dashboard: Created comprehensive analytics for video performance, credit usage, cost tracking, and user insights

12

Testing & Optimization: Load testing with 1000+ concurrent generations, quality assurance, bug fixes, performance tuning

13

Beta Launch: Soft launch with 100 early adopters, collected feedback, iterated on UX and features

14

Full Launch: Public launch with marketing campaign, SEO optimization, continuous feature development based on user feedback

Technologies Used

Frontend

Next.js 14ReactTypeScriptTailwind CSSShadcn/uiFramer MotionReact Hook Form

Backend & Database

Node.jsNext.js API RoutesPostgreSQLPrisma ORMRedis

AI Video Generation Models

VEO 3.1SORA 2WAN 2.5Seedance ProSeedance LiteMAGI-1GPT (Captions)

Video Processing

FFmpegVideo EncodingFormat ConversionAspect Ratio OptimizationCompression

Queue & Job Processing

Bull QueueRedisJob SchedulingAsync ProcessingRetry Logic

Authentication & Payments

NextAuth.jsJWTStripe APISubscription ManagementCredit System

Social Media Integration

TikTok APIInstagram APIYouTube APIAuto-PostingTrending Content API

Cloud Storage & CDN

AWS S3AWS CloudFrontVideo StorageThumbnail GenerationCDN Delivery

Real-time Features

WebSocketsSocket.ioReal-time ProgressLive Notifications

Analytics & Monitoring

RechartsUsage AnalyticsCost TrackingSentryPerformance Monitoring

Key Features

🎬

Image-to-Video Transformation

Transform static images into dynamic videos with AI-powered motion effects. Choose from multiple motion styles and intensity levels.

✍️

Text-to-Video Generation

Generate videos from text descriptions using advanced AI models. Simply describe your vision and let AI create the video.

🤖

Multiple AI Models

Access 6+ specialized AI models including VEO 3.1, SORA 2, WAN 2.5, and Seedance for different video styles and quality levels.

#️⃣

AI Captions & Hashtags

Automatically generate engaging captions and trending hashtags optimized for each social media platform using GPT.

📱

TikTok Auto-Post

Directly publish videos to TikTok with automatic posting, scheduling, and caption/hashtag integration.

⏱️

Video Extension

Extend video duration from 10 seconds to 20 seconds using MAGI-1 model for longer-form content.

🔥

Trending Content Feed

Daily curated feed of viral videos and trends from TikTok, Instagram, and YouTube across multiple regions for inspiration.

📦

Bulk Video Generation

Create multiple videos simultaneously with CSV uploads or batch image processing. Perfect for agencies and e-commerce.

📅

Smart Scheduling

Schedule video generations and social media posts for optimal timing based on audience engagement patterns.

🎯

Platform Optimization

Automatic video formatting for TikTok (9:16), Instagram Reels (various ratios), and YouTube Shorts with optimal encoding.

📊

Real-time Progress Tracking

Live updates on video generation status with estimated completion time and instant notifications when ready.

📈

Analytics Dashboard

Comprehensive analytics showing generation history, credit usage, video performance, and cost breakdowns.

Results & Impact

5,000+
Videos Generated
Total videos created on the platform since launch
500+
Active Creators
Monthly active users creating content
4.8 / 5.0
User Rating
Average user satisfaction rating
98%
Satisfaction Rate
Percentage of users satisfied with generated videos
30-90s
Generation Speed
Average time to generate a video
99.7%
Platform Uptime
System availability and reliability
90%
Cost Reduction
Cost savings vs traditional video production
100+
Daily Generations
Average daily video generations across all users
"
This platform is a game changer for content creators! I was spending hours editing videos, now I just upload an image and boom - professional video ready in seconds. The AI models are incredible, especially VEO and SORA. TikTok auto-post saves me so much time. Already generated 200+ videos this month. Worth every penny!
Marcus D.
Content Creator, User Review

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