The Challenge
To develop a high-speed photo repair application that colorizes black-and-white family portraits and patches physical scratches on analog prints.
Case Study
AI Photo Restoration & Colorizer — Case Study
Eski, solmuş ve bulanık fotoğrafları yapay zekâyla yeniden canlandırın.
Our Process
We structured an interactive 'before/after' split-slider UI to visually wow customers immediately. The layout uses dark mode styles and micro-animations to create a premium photo-editing studio ambiance.
Technical Obstacles & Solutions
We deployed scaling clusters running GFPGAN and Real-ESRGAN on cloud GPUs. To save server bandwidth, we implemented a custom client-side pre-processing engine that compresses and crops images prior to API upload.
// Performance Outcomes
300K+
Restored Photos
+%68
Social Sharing
+%4.2
IAP Conversion
Measurable Outcomes
- Restored and saved more than 300,000 vintage photographs.
- Boosted user sharing rates to social media platforms by 68%.
- Increased subscription conversion rates by 4.2% within two months.
// Technology Integration
React NativeGFPGAN APIReal-ESRGANNode.jsAWS EC2 GPUTypeScript