A lightweight, pure-Swift library for generating stylized QR codes with watermarks and recognizing QR codes from images.
EFQRCode is a Swift library for generating and recognizing QR codes across Apple platforms including iOS, macOS, watchOS, tvOS, and visionOS. It provides a powerful and flexible way to create visually appealing QR codes with custom styles, watermarks, and icons, while also offering reliable QR code recognition from images.
Apple platform developers (iOS, macOS, watchOS, tvOS, visionOS) who need to integrate QR code generation or recognition into their Swift applications. This includes developers building apps that require branded, stylized QR codes or need to scan QR codes from images.
Developers choose EFQRCode for its pure Swift implementation with no external dependencies, its extensive customization options for creating stylized QR codes, and its cross-platform support for all major Apple operating systems. It offers a lightweight, intuitive API for both generation and recognition tasks.
A better way to operate QRCode in Swift, support iOS, macOS, watchOS, tvOS, and/or visionOS.
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Works seamlessly on iOS, macOS, watchOS, tvOS, and visionOS, providing a unified solution for all major Apple operating systems, as highlighted in the README.
Enables creation of stylized QR codes with custom colors, backgrounds, icons, and watermarks, allowing for branded designs, as shown in the examples with embedded images and animations.
Supports export to static images (PNG, JPEG, PDF) and animated formats (GIF, APNG, SVG, MOV), offering flexibility for various presentation needs, detailed in the quick start section.
Built entirely in Swift with no external libraries, ensuring easy integration via CocoaPods, Carthage, or SPM, and reducing bundle size, as stated in the features.
Oversized generation dimensions or excessive content can lead to generation failures, as admitted in the recommendations section, limiting scalability for high-resolution outputs.
Exclusive to Apple platforms, making it unsuitable for cross-platform projects beyond iOS, macOS, etc., which restricts its use in broader development environments.
Focused on image-based recognition rather than integrated camera scanning, requiring additional setup for real-time QR code detection in apps, which isn't covered in the core features.