The end of guesswork

Online clothes shopping is broken. Apparel return rates run 30–40% for most retailers. The cause is simple: customers cannot see how a garment will look on their own body before buying. Product photos are shot on professional models under studio lighting. The customer guesses, orders, it arrives wrong, it goes back. The retailer pays for returns. Nobody wins.

Existing try-on tools are either locked inside a single retailer's ecosystem or are raw B2B APIs that require expensive integration. There is no independent, user-first platform where someone can try on any item from any store on their own photos.

MIRRR changes that.

Upload your photos. Add any garment — from any store. Get photorealistic images of you wearing it in seconds. Powered by Google's latest AI image generation technology, MIRRR uses multimodal reasoning to understand your body, the garment structure, and how clothing physically behaves — then generates the result from that understanding.