AR Virtual Try-On for Modern E-commerce

AR virtual try-on uses augmented reality and real-time facial landmark detection to place a product image on a live camera feed. Instead of imagining how a pair of glasses or a shade of lipstick will look, shoppers see it on their own face, moving and rotating naturally as they do.

Tryonixs delivers this experience through a lightweight JavaScript SDK that runs in any modern browser on mobile and desktop — no native app, no App Store review, no install friction. A shopper taps "Try On," grants camera access once, and the AR experience loads in the same tab as your product page.

The browser requests the front-facing camera via WebRTC. A face-tracking model detects 468 facial landmarks per frame and derives head rotation (pitch, yaw, roll) and inter-eye distance. Those coordinates drive where the product asset sits, how large it renders, and how it tilts as the shopper moves — all recalculated roughly 30 times per second so the overlay tracks smoothly instead of lagging behind.

Everything above runs client-side, in the shopper's own browser. No video frame is uploaded to a server for processing, which keeps latency low and sidesteps the privacy concerns that come with cloud-based face analysis.

Shoppers who try products virtually are more confident in purchase decisions, spend longer on product pages, and compare more SKUs per session — all leading indicators for conversion in fit-sensitive categories like eyewear and beauty.

For merchants, AR try-on is also a returns lever: uncertainty about fit and style is a top driver of returns and "buy multiple, return the rest" behavior. Letting shoppers preview fit before checkout targets that uncertainty directly.

A Tryonixs account, a public API key, and one transparent PNG asset per product (a frame, a shade swatch, or similar). No 3D modeling, no app development, and no dedicated engineering team required — most merchants go live on Shopify or WooCommerce the same day they start.