Challenges & Solutions

The primary challenge was achieving high-quality AI-based photo restoration directly in the browser with a seamless user flow. The solution integrated cloud-based image repair pipelines with intelligent compression and noise reduction algorithms, allowing users to see real-time “before vs. after” previews without performance lag.

Building a secure, scalable media library was another focus. Using Supabase for authentication, storage, and role-based access control, the app supports personal accounts with full CRUD media management — including tagging, album creation, and restoration history tracking — while ensuring data security and privacy.

To make the experience accessible to non-technical users, the interface was designed in Next.js with a soft color palette, large preview thumbnails, and minimal setup steps. The upload process automatically queues restoration jobs, processes them in the background, and updates users via real-time Supabase subscriptions.

Finally, integrating a print-order workflow required dynamic asset scaling and color calibration. Users can export processed photos in multiple resolutions or order prints directly through a connected printing service API, ensuring consistent, professional output quality across devices and formats.