ZEye web

Identify TCG cards anywhere on the web. Toggle Prediction Mode, click a card, and Z-Eye does the rest.

Z-Eye lets you recognize trading cards directly on the pages you already browse. Turn on Prediction Mode, click a card in the page, and get the detected card with its artwork. How it works : Toggle Prediction Mode from the popup (or your keyboard shortcut). Click on a card image in the page. Z-Eye securely sends a one-time screenshot of the active tab (only while Prediction Mode is on) to perform the identification, then shows you the result. Fast overlay UI: minimal, unobtrusive, and focused on the card. Keyboard shortcut supported (suggested: Alt+C). If not set on first install, define it at chrome://extensions/shortcuts. Notes : Currently optimized for Flesh & Blood (more games coming). Z-Eye Web is under active development and currently in beta. It’s designed to identify cards even in imperfect conditions, but accuracy depends on the image. For best results, the card should be front-facing with minimal skew, glare, or occlusion. Z-Eye is primarily intended to help read cards during tournaments and casual play. If a result looks wrong or isn’t detected, try improving the image quality. Z-Eye will always do its best to identify cards, but no result is guaranteed. Privacy & permissions : By using Z-Eye Web, you acknowledge and agree that, for the service to function, a screenshot of your active browser tab may be captured and sent to our servers only while Prediction Mode is enabled to identify cards. Please do not use Z-Eye Web if sensitive information is visible in your browser. No collected data is stored, viewed, shared, or used by our team or any third party outside of the card-identification service. Z-Eye Web is not affiliated with, endorsed, sponsored, or specifically approved by Legend Story Studios. Legend Story Studios®, Flesh and Blood™, and all related set names, characters, logos, and art are trademarks or registered trademarks of Legend Story Studios. All rights reserved. Support Help us improve: report issues or share feedback at [email protected]