PixelCraft: AI-Powered Image SaaS

Problem

How can an image-editing interface connect hosted AI transformations to the account, storage, and payment concerns of a SaaS application?

PixelCraft is a full-stack image-editing application using Cloudinary’s image capabilities. The project brings several transformation flows into one web interface. The live demo and source repository are the primary artifacts; this page does not claim transformation quality, commercial viability, or scale.

Key Features

1. Generative Fill: Extends images or fills missing areas using context-aware AI.
2. Object Removal: Cleanly removes unwanted elements from photos.
3. Smart Recolor: Identifies objects and allows selective recoloring.
4. Credits System: Integrated with Stripe for handling credit purchases and subscriptions.

Technical architecture and limits

The architecture separates the web interface from persistence, identity, image transformation, and payment services:

• Frontend: Built with Next.js 14 (App Router) for server-side rendering and SEO.
• Styling: TailwindCSS + Shadcn UI for a modern, accessible design system.
• Backend: Server actions handle logic, with MongoDB (Mongoose) for data persistence.
• Auth: Clerk handles secure user authentication and session management.
• Payments: Stripe Webhooks ensures secure transaction processing.

This separation gives the product a clear path from image upload to transformation, persistence, account access, and billing. It does not prove that the system is ready for real payments or production traffic. Those claims require deployment, security, webhook-replay, and operational testing.

Specialized Stack

Component	Technology	Role
Core Framework	Next.js 14	App Router, Server Actions
Database	MongoDB	Scalable document store
Image Engine	Cloudinary	AI transformations & storage
Type Safety	TypeScript	Strict typing for reliability