Online clothing returns sit somewhere between 25 and 40 percent for most independent fashion stores. Almost all of it comes from one question shoppers cannot answer before they buy: will this look good on me?
Virtual try-on tools that try to answer that question have existed for a decade. Most are too slow to fit into a real shopping flow, or too generic to actually look like the garment in question, or built on top of someone else’s API that can disappear or change pricing without warning.
TryEz is our attempt to build the version we wished existed: fast enough for the storefront, faithful enough that the rendered image actually resembles your product, and self-owned end-to-end so neither you nor we are at the mercy of a third party.
What we’re building
A virtual try-on engine made specifically for clothing on real people in real photos. One photo of the shopper, one photo of the garment, a render in roughly twelve seconds, embedded into your product page with a single line of code.
We trained the model ourselves on permissively licensed images, on hardware we operate. There is no third-party generative API in the rendering path.
What we’re not
- Not a photo-editing app for individuals. We sell to stores.
- Not a wrapper around someone else’s model with a logo on top.
- Not a face-detection or biometric service. We don’t store photos and we don’t train on customer images.
Where we are today
Early. The product works, the model is in beta, and we’re actively looking for the first handful of stores willing to try TryEz on a single product line and tell us what breaks.
If that sounds like you, we’d love to hear from you at hello@tryez.ai.