Virtual try-on API
A virtual try-on API that returns fit, not just pixels.
One call renders the garment on your shopper and returns a calibrated fit prediction — the odds it runs tight, true, or loose for their measurements, with the assumptions behind it. The differentiator that actually moves return rates.
Pixels + fit math
POST a body + garment, get a photoreal render AND a probability per fit bucket. Most APIs stop at the image.
Honest by design
Unknown fabric or sparse measurements widen the estimate and lower confidence — we never imply a precision the inputs can't support.
Drop-in
REST over HTTPS, API-key auth, publishable keys safe for the browser, a storefront widget, and Shopify/WooCommerce snippets.
Frequently asked
- What does the virtual try-on API return?
- A photoreal image of the garment rendered on the shopper, plus a fit prediction: a recommended size, tight/true/loose probabilities that sum to 1, a confidence score, and the assumptions used (e.g. fabric unknown).
- How is this different from other virtual try-on APIs?
- Most return only an image. WooChim also returns the sizing decision computed from the shopper's measurements against your size chart — the number that reduces wrong-size returns, not just a nicer product photo.
- Do you charge per render?
- The fit endpoint is unmetered on every plan. Photoreal try-on renders run on GPU infrastructure and are metered. See the pricing on the business page.
- Can I embed it without writing code?
- Yes — drop in the WooChim widget script with your publishable key and a size table, and shoppers get an inline size checker that calls the fit API.
See it on your body in a minute
Free to start, no card required. Set up your fit model and check any garment.