A Swift wrapper for Uniform Type Identifiers (UTI) providing conversion between file extensions, MIME types, and type checking.
UTIKit is a Swift library that provides a wrapper around Apple's Uniform Type Identifier (UTI) system. It simplifies working with file types by offering type-safe conversions between UTIs, filename extensions, MIME types, and other identifiers, along with equality and conformance checking.
iOS and macOS developers who need to handle file types, MIME types, or pasteboard types in their Swift applications, particularly those building cross-platform apps or utilities that process files.
Developers choose UTIKit because it provides a clean, Swift-native API for the UTI system, eliminating the need to directly interact with lower-level Core Foundation APIs and reducing boilerplate code for common file type operations.
UTIKit is an UTI (Uniform Type Identifier) wrapper for Swift.
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Provides Swift-native methods for converting between UTIs, filename extensions, and MIME types, eliminating error-prone string manipulation, as shown in examples like `UTI(mimeType: "image/jpeg").filenameExtensions`.
Covers the entire Apple UTI system, including equality checking with operators and conformance hierarchies (e.g., JPEG conforming to Image), reducing boilerplate compared to Core Foundation APIs.
Works on iOS 8+ and macOS 10.10+, enabling consistent file type handling across Apple platforms, as per the requirements section.
Wraps complex UTI functions into intuitive Swift interfaces, such as initializers from extensions or MIME types, making common tasks more accessible.
Exclusively tied to Apple ecosystems, with no support for other operating systems, limiting its usefulness in cross-platform or server-side Swift projects.
Relies on Apple's predefined UTI database and offers no built-in mechanisms for creating or managing custom UTIs, which can be a drawback for apps with unique file types.
The README only provides basic examples without comprehensive API references or advanced usage scenarios, potentially increasing the learning curve for complex implementations.