Glossary

AI-generated preview of how a garment or product looks on a person. WEARFITS applies product images onto a digital twin via POST /api/v1/virtual-fitting.

A reusable customer avatar created from a face photo, full-body photo, silhouette, clothing size, or body measurements. Identified by a digitalTwinId and cached for about 30 days.

Applying garment images (tops, bottoms, full-body, shoes) onto a digital twin to produce a try-on result. The recommended production endpoint is POST /api/v1/virtual-fitting.

Converting 2D shoe or bag product photos into a 3D GLB asset and an AR try-on, via POST /api/v1/shoe-3d. Handbags route through the same pipeline with productType set to other or auto.

Batch conversion of catalog products into 3D assets, via POST /api/v1/digitization/batches — up to 500 products per batch on a low-priority queue.

An augmented-reality experience published to the WEARFITS viewer so shoppers can place a 3D product in real space on their phone.

The binary glTF 3D model format produced by WEARFITS shoe and bag 3D generation.

A dependency-free script (/widget/tryon.js) that opens a virtual try-on modal from product JSON, exposing window.Wearfits.openTryOn(config).