Your Closet.
Visualized Anywhere.
An AI virtual try-on app that extracts garments from photos and renders photorealistic outfits on your body using advanced generative models.
Designed for Liquid Intelligence
A stunning UI packed with spatial glassmorphism, responsive offline workflows, and native performance.
Smart Garment Extraction
Add clothing from worn photos, flat-lays, or store screenshots. Pieces are automatically isolated using Apple's Vision framework, operating entirely on-device with zero server latency.
Digital Closet
Your entire wardrobe, meticulously organized. Powered by SwiftData for instantaneous on-device search, filtering, and seamless outfit creation.
AI Auto-Tagging
Imported items name themselves — cloud AI identifies the garment and category while on-device Vision pins down the exact color, eliminating the friction of manual data entry.
Photorealistic Try-On
See exactly how an outfit looks on you. PopCloset integrates with a secure Cloudflare Worker and Gemini generative backend to render high-fidelity try-on images directly onto your base photo.
See PopCloset in Action
Click a preset garment below to see how our try-on pipeline processes your outfit combinations.
Select a Garment
Click any sample garment to simulate the item extraction & try-on rendering pipeline:
Technical Specifications
Under the hood of our highly optimized Swift and C++ local stack.
| Extraction | Core ML Vision (On-device Object Extraction) |
| Identification | Cloud Gemini + on-device Vision (Auto-tagging) |
| Database | SwiftData (Local Digital Closet Persistence) |
| Cloud Backend | Cloudflare Workers + Gemini API (Generation) |
| Hardware Support | iOS 17.0+ (SwiftUI, SwiftData, XcodeGen) |
