Create reusable digital twins from face photos, full-body photos, silhouettes, clothing sizes, or body measurements.
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
Apply tops, bottoms, dresses, and shoes to a saved digital twin through one virtual fitting endpoint.
Generate 3D shoe and handbag assets from shop product imagery, with optional AR upload and texture enhancement.
WEARFITS API at a glance
- Digital twins are cached for 30 days and reused across try-on requests.
- Batch digitization accepts up to 500 products per request, with up to 10 images each.
- Shoe and bag 3D generation outputs GLB assets with an AR try-on link.
- Virtual fitting is asynchronous: submit a job, then poll or receive a signed webhook.
- Webhooks are signed with HMAC-SHA256 using SHA-256 of the API key as the secret.
- The full contract is published as an OpenAPI 3.1 specification.
Machine-readable surfaces
Built for developers and AI agents
- /llms.txt concise AI context and link map
- /llms-full.txt expanded endpoint and integration context
- /docs/openapi-summary.md human and agent-readable API summary
- /widget/tryon.js embeddable storefront modal loader
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.