The Shopify app where your customer is already wearing every product.
Every product card, every listing, every collection — personalized to the shopper from the moment they open your app.
How it works.
- Step 01
One selfie
Your customer takes a single photo of themselves when they enter the app. That's it. No measurements, no questionnaires, no friction.
- Step 02
AI processes in seconds
Storecraft's AI maps the customer to your catalog, learning their proportions, skin tone, and the way fabric falls on their frame. The processing is on-device for speed and privacy.
- Step 03
Every product, already on them
From that moment forward, every product card in every listing shows the item worn by the customer. Browsing your catalog is browsing their wardrobe.
Most try-on tools work one product at a time.
A button on the product page. A pop-up. A widget.
Storecraft works on the whole catalog. The customer doesn't decide to try on a product — every product is already on them, in every view, before they tap anything.
Widget try-on (the old way)
- One product at a time
- Customer must tap a button on each product
- Try-on view interrupts browsing
- Limited to the product detail page
Catalog try-on (Storecraft)
- Every product, all the time
- One selfie at the start, never asked again
- Try-on IS the browsing experience
- Works in listings, collections, search, recommendations
Engineered for the full apparel catalog.
- Tops
- Bottoms
- Dresses
- Outerwear
- Activewear
- Swimwear
- Loungewear
- Festive wear
- Modest wear
If your shopper wears it, Storecraft renders it.
Built for the way fashion is browsed.
- Renders each product in under 2 seconds — faster than the customer can scroll past it
- Works on 3-year-old phones — no high-end device required
- The customer's selfie persists for the session, never stored permanently
- Fully GDPR-compliant — processing happens on-device where possible
- Falls back gracefully for non-apparel items in mixed catalogs
Merchant impact.
reduction in apparel returns
lift in product engagement
increase in average order value
Based on virtual try-on industry benchmarks. Your results will vary based on catalog, traffic, and category.