Rendered Fits vs Wearfits
As featured in Vogue College of Fashion · The Jockey Club Style Awards
Rendered Fits and Wearfits both solve the fit-confidence problem, but with fundamentally different technology. Rendered Fits uses generative AI to render a photorealistic try-on from a single shopper photo and your existing product imagery. Wearfits relies on 3D body scanning and parametric fitting — more measurement-driven, less visual.
| Rendered Fits | Wearfits | |
|---|---|---|
| Core technology | Generative AI — single photo | 3D body scanning / parametric fit |
| Shopper input | One uploaded photo | Body measurements or scan |
| Output | Photorealistic image of shopper in garment | Fit prediction / size recommendation |
| Platform | Shopify-native app | Integration / API |
| Setup | Live in minutes, self-serve | Integration + calibration |
| Best for | Brands where visual confidence drives purchase | Brands wanting size-precision data |
Based on publicly available information at time of writing; verify current features with Wearfits.
Choose Wearfits if your priority is size-precision data and you have the technical resource to integrate a 3D scanning pipeline. Choose Rendered Fits if you want shoppers to see themselves in your garments photorealistically — the visual confidence that directly lifts conversion and cuts returns — with a Shopify app that is live in minutes.
RenderedFits uses generative AI to render a photorealistic try-on from a single shopper photo and existing product imagery. Wearfits relies on 3D body scanning and parametric fitting — more measurement-driven, less visual.
Wearfits uses 3D body scanning and parametric fit technology, which typically requires integration and calibration rather than a simple photo upload. RenderedFits works from one photo with no hardware. Verify current requirements with Wearfits.
RenderedFits, for brands where seeing a photorealistic image of themselves in the garment is what drives purchase confidence and reduces returns.