🚀 How We Built AI Product Photography with Gemini + Next.js

In e-commerce, the difference between a sale and a bounce is often the lighting. But professional shoots are expensive. At Katalyst AI, we wanted to bridge that gap by turning raw smartphone photos into marketplace-ready 4K assets in under 60 seconds. Here’s the technical breakdown of how we built the pipeline using Next.js and Gemini. The Challenge: Beyond Background Removal Most tools just remove backgrounds. We needed to handle: Scene Consistency: Ensuring the product lighting matches the generated background. Resolution: Upscaling mobile shots to 4K without losing texture. SEO Automation: Generating marketplace-specific metadata simultaneously. The Tech Stack We leaned into a modern, performance-first stack: Framework: Next.js 14 (App Router) for high-performance SSR. AI Engine: Gemini 3 Flash for high-speed image-to-image prompting and vision analysis. Styling: Tailwind CSS for a clean, minimalist UI that stays out of the user's way. Database: PostgreSQL (via Prisma) for managing