A simple and beautiful iOS barcode scanner component with customizable UI and great user experience.
BarcodeScanner is an open-source iOS library that provides a customizable view controller for scanning barcodes and QR codes. It simplifies integrating camera-based code scanning into iOS apps by handling camera setup, authorization, and user interface states, allowing developers to focus on processing the captured data.
iOS developers building apps that require barcode or QR code scanning functionality, such as inventory management, retail, ticketing, or authentication applications.
Developers choose BarcodeScanner because it offers a beautifully designed, production-ready component with no external dependencies, extensive customization options, and straightforward delegation patterns that integrate seamlessly into existing iOS projects.
:mag_right: A simple and beautiful barcode scanner.
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Pure Swift implementation eliminates the need for managing third-party libraries, reducing project complexity and potential conflicts, as highlighted in the README's 'No Dependencies' feature.
Handles scanning, processing, unauthorized, and not found states with built-in UI feedback, simplifying error handling and user experience, as shown in the state modes section.
Allows extensive adjustments to colors, messages, focus view styles, and camera settings via public properties, enabling seamless integration with app design, as detailed in the customization examples.
Includes torch mode for low-light conditions and animated focus view, enhancing usability without extra coding, as mentioned in the key features and demo images.
Only supports iOS due to its reliance on AVFoundation and Swift, making it unsuitable for cross-platform projects without additional libraries or rewrites.
The view controller-based architecture tightly integrates scanning with UI, which can be cumbersome for headless applications or scenarios requiring minimal interface control.
While customizable, the library relies on AVFoundation's default barcode types; extending support for niche formats requires manual metadata configuration, as noted in the customization section.