Coin Identifier & AI Scanner represents a specialized mobile application leveraging computer vision technology to identify and catalog coins through photographic analysis. Developed by COOL SUMMER LIMITED for iOS platforms, the application occupies a niche position within the numismatic software market, offering automated identification capabilities that traditionally required expert knowledge or physical reference materials. The core functionality centers on image recognition algorithms that analyze coin characteristics including design elements, inscriptions, and metallic composition. Users capture coin images through the device's camera, after which the system cross-references visual data against an extensive database of international currencies spanning various historical periods. The application returns detailed metadata including country of origin, denomination, approximate mint year, and current collector valuation ranges based on condition assessment. Additional features include collection management tools that allow users to create digital inventories of identified coins with searchable tags and organizational categories. User experience demonstrates generally intuitive design principles with a streamlined three-step process: capture, analyze, and review results. The interface employs minimalistic design with large capture buttons and clear visual hierarchy directing user attention toward primary functions. Real-world usage patterns indicate most users employ the application for quick identification during coin sorting sessions, estate evaluations, or educational purposes where immediate information access proves valuable. Performance metrics show average processing times between 3-7 seconds per coin under optimal lighting conditions. User feedback reveals polarized experiences with recognition accuracy. Positive reviews from users like rabbitwood0324 (December 17, 2024) highlight the interface cleanliness and comprehensive feature set, while Lucy0862 (December 12, 2024) praises the historical and valuation data provided. Conversely, critical reviews such as Ubguuguvyvtc (April 11, 2025) report complete recognition failures even with common modern coins like US quarters, suggesting potential database gaps or image processing limitations under suboptimal conditions. The application demonstrates strongest performance with well-preserved, modern coins from major economies, providing quick access to standardized numismatic information. Limitations emerge with damaged coins, obscure foreign currencies, or historical pieces where wear patterns or uncommon designs challenge recognition algorithms. Ideal use cases involve preliminary identification of common collections rather than professional numismatic authentication, with best results achieved in controlled lighting environments using multiple capture angles for problematic coins.