AI fitting infrastructure for fashion commerce

WEARFITS Virtual Try-On API

AI-powered virtual try-on, digital twins, and 3D product generation for fashion commerce.

Core endpointPOST /api/v1/virtual-fitting
OpenAPIhttps://api.wearfits.com/doc
Agent context/llms.txt and /llms-full.txt
01

Create reusable digital twins from face photos, full-body photos, silhouettes, clothing sizes, or body measurements.

02

Apply tops, bottoms, dresses, and shoes to a saved digital twin through one virtual fitting endpoint.

03

Generate 3D shoe and handbag assets from shop product imagery, with optional AR upload and texture enhancement.

04

For storefronts, the hosted iframe is the recommended full UI and size-fitting path; follow https://tryon.wearfits.com/docs/integration.html for READY/INIT and base products. Put the optional sizeChart sibling field on each WEARFITS_INIT.payload.products[] item; SET_PRODUCTS uses the same product shape. The chart requires version 1 with body basis, cm or in units, and height/chest/waist/hip/inseam ranges. Demo: https://tryon.wearfits.com/demo_tryon.html.

WEARFITS API at a glance

Machine-readable surfaces

Built for developers and AI agents

Key Questions

What is WEARFITS?

WEARFITS is an AI virtual try-on and product digitization API for fashion retailers, marketplaces, and commerce apps.

What can developers build with it?

Developers can build virtual fitting rooms, digital twin flows, shoe and bag 3D generation pipelines, and embeddable try-on modals.

Where is the machine-readable API specification?

The OpenAPI 3.1 specification is available at https://api.wearfits.com/doc.