A Flutter package for applying preset and custom photo filters to images on iOS and Android.
Photo Filters is a Flutter package that allows developers to apply and create photo filters for images in iOS and Android applications. It solves the problem of adding image editing and styling features without requiring complex native code or external services, providing both preset filters and customizable filter pipelines.
Flutter developers building mobile apps that require image editing, photo sharing, or social media features where users can style their images.
Developers choose Photo Filters because it offers a comprehensive, Flutter-native solution with a large set of preset filters, performance-optimized filter types, and the flexibility to create custom filters, all without relying on platform-specific libraries.
photofilters library for flutter
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Includes over 40 ready-to-use filters like Aden, Clarendon, and Valencia, with sample images provided in the README for easy preview and selection.
Allows developers to build custom filters by combining subfilters such as brightness, saturation, and convolution, with clear code examples for both ImageFilter and ColorFilter types.
Offers ColorFilter for per-pixel processing, which is less computationally expensive than ImageFilter, as explained in the filters section to handle multiple subfilters efficiently.
Provides a PhotoFilterSelector widget for quick integration of a filter selection interface, demonstrated in the example code to reduce development time.
Supports kernel-based convolution for effects like blur, sharpen, and edge detection, with sample images showcasing capabilities such as Gaussian blur and emboss.
Relies on the 'image' package for decoding, adding an extra dependency and potential compatibility issues, as noted in the installation requirements.
Does not support video or live camera feed filtering, which restricts use cases for apps needing real-time effects, as evident from the focus on photo processing only.
ImageFilter type is computationally expensive with many subfilters, as admitted in the README, which could lead to slow processing or lag on lower-end devices.
The README lacks detailed API documentation or advanced tutorials, with only basic examples provided, which might hinder complex custom implementations or debugging.