Beyond Add to Cart: let shoppers mix, match & try on the full outfit

Virtual try-on (VTON) is AI technology that lets online shoppers see how a product will look on them before buying, without needing to visit a store. Most virtual try-on tools show one item at a time. StyleProfile lets shoppers combine a top, bottom, shoes, and bag into a single outfit and see the whole look rendered together — closer to how people actually get dressed.

Minutes on Shopify. You install the app, your catalogue syncs, and the widget goes live on the product pages you choose — no theme development and no developer time. On other platforms you can go live today through the API, and native apps are rolling out one at a time.

Product images and a category per garment. One clean, front-facing shot per item is enough — ghost-mannequin, flat-lay and on-model shots all work — and most stores already carry the category in their product type. Size charts are optional: add one if you want fit guidance alongside the render.

The engine renders garments generatively rather than pasting a cut-out over a photo, so drape, texture and the way a fabric falls on a body survive the process. The demo higher up this page is the engine’s real output on a sample capsule, not a mockup — judge it there before you talk to us.

A shopper’s photo is processed to produce their renders and nothing else. It is never used as training data without explicit consent, and it can be deleted on request. Retention, sub-processors and regional handling are all set out on our security and data page.

Because we would rather be straight about it: plans are paid from day one and signup takes a card. What is free is the part that matters — the demo above runs in your browser with no signup, and a walkthrough on your own products costs nothing. Every plan is cancel-anytime, with no long-term contract.

Shopify today, as a native app. WooCommerce, Magento, BigCommerce and Salesforce Commerce Cloud are on the roadmap; until each one ships, those stores integrate through the API. The integrations hub lists what is live and what is coming.