A fully customizable and modern camera implementation for iOS built with AVFoundation.
Cool-iOS-Camera is an open-source camera library for iOS that provides a fully customizable camera interface built with AVFoundation. It allows developers to replace the default system camera with a modern implementation that offers granular control over UI elements and camera functionality. The library solves the problem of rigid camera interfaces by enabling complete customization to match app design requirements.
iOS developers who need a customizable camera component for their applications, particularly those building photography apps, social media platforms, or any app requiring enhanced camera functionality beyond Apple's default implementation.
Developers choose Cool-iOS-Camera because it offers extensive customization options while maintaining simple integration. Unlike the default iOS camera, it provides full control over UI elements, animations, and camera behaviors without compromising on ease of use.
A fully customisable and modern camera implementation for iOS made with AVFoundation.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Code-made UI elements resize dynamically for different screen sizes without quality loss, allowing full design control over the camera interface as described in the README.
Easy integration with delegate methods for image capture, requiring minimal setup like instantiating and adding as a subview, making it quick to implement.
Provides programmatic access to autofocus and exposure settings, giving developers granular control over camera behavior for enhanced user experience.
Written in Objective-C, requiring bridging headers or additional setup for Swift projects, and lacks modern Swift-native features and conveniences.
Last copyright is 2015 with no recent updates, indicating potential compatibility issues with newer iOS versions and missing support for modern camera APIs.
Requires dragging files and manually linking AVFoundation framework, which is cumbersome and error-prone compared to modern dependency management tools.