AI Bracelet Try-On, Live on Any Bare Wrist
Camera to photorealistic wrist render in three taps, all inside your own site or app. Shoppers never leave your storefront.
One Flat Photo, One AI Bracelet Model
Send a single flat 2D product shot and get a wrist-ready try-on asset back. It is the fastest path to live for long tail SKUs, made to order pieces, and seasonal drops, with no studio booking and no model call sheet.
Stack, Mix, and Match AI Bracelets Virtually
Shoppers layer bracelets, bangles, watches, and rings in one shot across gold, rose gold, silver, diamond, and sapphire finishes. Stacking is how basket size grows, because a set sells better than a single piece.
What AI Bracelet Try-On Does for Your Storefront
Jewelry is a high consideration, high return category. Try-on attacks both sides of that problem.
Know the Size Before It Ships
Guessing wrist size is what fills return bins. Perfect Corp's wrist sizing technology estimates circumference from the same camera pass that powers the try-on, then recommends the length that actually fits. Shoppers get a number they trust, and your team gets fewer size exchanges to process.
AI Wrist Mapping, No Marker Required
AgileHand™ technology uses deep learning to track the wrist in the live camera feed, so the bracelet holds its place through natural motion. Older AR jewelry tools asked users to print a marker or wrap a paper strip around the arm, and most shoppers abandoned the flow right there. Bare wrists are all this needs.
3D Models with Physically Based Rendering
For hero pieces, physically based rendering reproduces brushed metal, pave settings, and gemstone refraction, so the fine detail survives the zoom. Assets are built to true product dimensions, which means a 16cm bangle never renders like an 18cm one.
Three Ways to Ship AI Bracelet Try-On
Pick the integration that matches your roadmap. All three run on the same rendering engine and the same usage analytics dashboard.
Everywhere Your Shoppers Are
AI bracelet try-on runs in the mobile browser with no app download, and across iOS, Android, Windows, and macOS on every major browser. Camera frames process for the try-on and nothing more, backed by 100% privacy protection, so legal and IT can sign off without a long review cycle.
Fast Integration with a Developer-Ready API
Bring premium AI bracelet try-on to your website or app in days, not months. Grab a sandbox key, call the documented endpoints, and ship.
An AI bracelet is a digital version of a real bracelet that artificial intelligence places onto a shopper's wrist through their camera. The AI reads the wrist in the live camera feed and renders the piece at the right scale, angle, and lighting, so the shopper sees how the bracelet would actually look on them before buying.
The shopper holds up a bare wrist or uploads a photo. Perfect Corp's AgileHand™ deep learning engine maps wrist shape, rotation, and skin tone frame by frame, then renders a 3D or 2D bracelet asset onto it with physically based lighting. The whole loop runs at video frame rate, so the bracelet follows the wrist as it turns.
Accuracy comes from two things working together, wrist tracking and product scale. AgileHand™ tracking holds the bracelet in place through natural wrist motion, and 3D assets are built to true product dimensions so a 16cm bangle does not render like an 18cm one. Pairing try-on with the wrist sizer gives shoppers a fit recommendation rather than a guess.
No. The try-on works on bare wrists with nothing attached. Older AR jewelry tools asked users to print a marker or wrap a paper strip around the arm for reference, which most shoppers abandoned. Perfect Corp removes that step entirely, which is the single biggest reason completion rates hold up on mobile.
Yes. A single 2D catalog image can be turned into a wrist-ready try-on asset, which is the fast path for long tail SKUs, made to order pieces, and seasonal drops. Hero products are usually built as full 3D models instead, so brushed metal, pave settings, and gemstone refraction survive a close zoom.
Perfect Corp's wrist sizing technology estimates wrist circumference from the same camera pass that drives the try-on, then converts it into a recommended bracelet length. Shoppers see the measurement in centimeters or inches next to the size that fits, so they order the right length the first time instead of returning it.
Yes, in three ways. A modular ecommerce web module drops onto product pages with a snippet, a developer-ready API powers custom front ends, and native iOS and Android SDKs bring it into your own app. All three share the same rendering engine and the same usage analytics dashboard.
It does. The experience runs in the mobile browser with no download, and it also supports iOS, Android, Windows, and macOS across the major browsers. Removing the install step matters because most jewelry traffic arrives on a phone from social or search and will not stop to install anything.
Yes. The live web demo is free and needs no signup, so you can test the try-on and the wrist sizer on your own wrist in under a minute. Commercial deployment is quoted by catalog size, integration type, and traffic volume, and our team will walk through the options with you.
Camera frames are processed to power the try-on and the size estimate, and nothing beyond that. Perfect Corp operates with 100% privacy protection across its AR and AI solutions, which is what lets legal and IT teams at 800+ partner brands approve deployment without a long review cycle.