How virtual try-on works, which platforms we support, our zero-retention privacy architecture, and what to expect during setup.
Software that renders a garment on a shopper's own photo so they can see how it looks on them before buying, rather than judging it from a product shot on a model.
Your customer uploads one photo on your product page, selects items, and the engine renders those items on their body in seconds. On the Smart Mirror, the capture is guided and happens in store.
One clear picture showing their whole body, in a pose where their outline is visible. Higher resolution renders better. There is no guided capture sequence and no multi-step wizard online.
Yes. The mix-and-match engine combines tops, bottoms, shoes, and accessories into a single photorealistic render of the complete look.
No. Online try-on is visual try-on. AI size recommendation is an in-store feature exclusive to the LookCheck AI Smart Mirror.
Under an inch of error, calculated from a guided front capture, a side capture, and the customer's height on the in-store 4K mirror.
Most merchants install the app, sync their catalog automatically, and go live in under five minutes.
Native apps for Shopify and Salla, a plugin for WooCommerce and WordPress, and a robust REST API for custom storefronts, marketplaces, and enterprise stacks.
Rendering runs on LookCheck's remote GPU cloud infrastructure, not in your customer's browser. The widget is a lightweight script that loads nothing until a try-on is initiated.
LookCheck renders finished stitched garments from raw lengths of lawn, khaddar, linen, or chiffon. It requires a brief setup with our team to map your brand's cut patterns.
Customer photos are encrypted in transit, processed in memory to generate the render, and immediately deleted. We do not retain images and we never train AI models on them. Rendream holds ISO 27001:2022 certification.
Talk to our engineering and retail team about custom platform integrations, enterprise deployments, or the in-store Smart Mirror.