CoinIn represents a specialized tool in the numismatic technology space, offering Android users instant coin identification through advanced image recognition. Developed by PlantIn, the application positions itself as a digital solution for collectors seeking to streamline the traditionally research-intensive process of coin identification. The app enters a growing market of visual recognition tools tailored for specific collecting hobbies. The core functionality centers around the coin scanning feature, which utilizes the device's camera to capture coin imagery. The system processes obverse and reverse designs, cross-referencing them against an extensive database of domestic and international currency. Additional features include collection management tools that allow users to catalog identified coins, add personal notes, and track acquisition dates. The application also provides basic numismatic information including country of origin, mint year, and denomination details for identified specimens. User experience demonstrates thoughtful design with a streamlined three-step process: capture, process, and results. The interface maintains minimalistic aesthetics with large capture buttons and clean presentation of identification results. Real-world testing shows particular effectiveness with modern circulating currency, though performance varies with heavily worn or ancient coins. The application requires stable lighting conditions and relatively clear coin features for optimal recognition accuracy, presenting practical considerations for field usage. User feedback trends indicate generally positive reception, though available reviews show limited diversity. Multiple identical five-star reviews from Alex Sinkfield on July 13, 2025, consistently mention satisfactory ad implementation and functional image recognition on Android devices. These reviews notably reference the application's advertising presence on Facebook platforms and family-approved usability, though the repetitive nature of these reviews limits broader sentiment analysis. The application demonstrates strongest utility for casual collectors and beginners in numismatics seeking quick identifications of common circulating coins. Limitations appear in specialized collecting areas where precise variant identification or valuation estimates would be required. The technology shows promise for educational contexts and preliminary identification work, though serious collectors may require supplemental research tools for comprehensive numismatic study.