A smart and easy-to-use image masking and cutout SDK for iOS and iPadOS mobile applications.
TinyCrayon is an iOS SDK that provides smart image masking and cutout tools for mobile applications. It enables developers to integrate advanced image manipulation features like object selection, hair/fur extraction, and layer masking into their apps. The SDK solves the problem of implementing complex computer vision algorithms for image editing in a mobile-friendly package.
iOS and iPadOS developers building photo editing, e-commerce, or creative applications that require advanced image cutout and masking capabilities. It's particularly useful for teams needing to add professional-grade image manipulation without developing computer vision algorithms from scratch.
Developers choose TinyCrayon for its smart automation tools that simplify complex masking tasks, its permissive MIT license for commercial use, and its seamless integration with both Swift and Objective-C projects. The SDK stands out by providing production-ready masking algorithms with customizable UI components.
A smart and easy-to-use image masking and cutout SDK for mobile apps.
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The SDK is free for commercial use under the MIT license, as stated in the README, allowing cost-effective integration without licensing fees.
Includes Quick Select for automatic edge detection and Hair Brush for high-quality hair/fur selection, automating complex masking tasks that typically require computer vision expertise.
Uses auto layout to seamlessly adapt to both iPhone and iPad screen sizes, ensuring a consistent user experience across devices.
Built primarily in Swift with full Objective-C compatibility for all public APIs, catering to diverse iOS development environments and legacy codebases.
Installation requires manually downloading and integrating the OpenCV framework, adding extra steps beyond standard CocoaPods usage, as outlined in the prerequisites and manual installation sections.
The SDK is exclusive to iOS and iPadOS, making it unsuitable for cross-platform projects without additional development efforts or separate SDKs for other platforms.
Development requires a physical iOS device for testing, as mentioned in prerequisites, which can hinder workflows reliant on simulators and increase hardware costs.