Cropper.js is a JavaScript image cropping library and client-side image editor. It provides a front-end interface for manipulating image geometry and extracting specific regions using the HTML5 Canvas API. The library enables interactive image cropping where users can manually select areas and define clipping regions. It supports geometry transformations including rotation, scaling, and zooming to align subjects, and allows for the enforcement of dynamic aspect ratios. The tool provides capabilities for exporting crop data as coordinates or canvas representations and offers access to interna
Jcrop is a JavaScript image cropping library that provides a browser-based interface for users to interactively select and define rectangular regions of an image. It utilizes a DOM-based image overlay to wrap images in relative containers, allowing for the placement of adjustable selection handles and boundary constraints. The tool distinguishes itself through comprehensive input support, translating touch gestures and keyboard intercepts into precise coordinate updates for both mobile and desktop environments. It features an engine capable of enforcing custom aspect ratio constraints and cal
This project provides a React component and a set of utilities for implementing interactive image cropping. It enables users to define selection areas over media elements using a draggable and resizable interface. The library supports fixed aspect ratio locking and the definition of custom crop shapes, such as circles. It utilizes a percentage-based coordinate system to ensure the selection interface remains responsive across different screen sizes and layouts. The toolset includes capabilities for real-time crop previewing and the generation of cropped regions using canvas-based rendering.
vue-cropper is a visual interface component for Vue applications designed for cropping, rotating, and resizing images. It serves as a client-side image editor that allows for the extraction of specific image regions and the enforcement of fixed ratio constraints to ensure consistent output. The component provides tools for manipulating image orientation and scaling through rotation and positioning to align target areas. It utilizes a canvas-based processor to generate final cropped results, which can be exported as Base64 strings or Blobs in various common file formats. The library covers a
SmartCropper is a computer vision library and user interface component designed for automated document border identification and perspective-based image cropping. It provides a framework for detecting the edges of items such as ID cards and business cards to suggest crop boundaries and apply geometric transformations that flatten skewed images into front-facing views.
The main features of pqpo/smartcropper are: Perspective Warping, Classical Edge Detection, Document Border Detection, Affine Matrix Transformations, Intelligent Cropping Engines, Interactive Crop and Transform Tools, Perspective-Aware Cropping, Document Scanner Interfaces.
Open-source alternatives to pqpo/smartcropper include: xyxiao001/vue-cropper — vue-cropper is a visual interface component for Vue applications designed for cropping, rotating, and resizing images.… dominictobias/react-image-crop — This project provides a React component and a set of utilities for implementing interactive image cropping. It enables… fengyuanchen/cropperjs — Cropper.js is a JavaScript image cropping library and client-side image editor. It provides a front-end interface for… tapmodo/jcrop — Jcrop is a JavaScript image cropping library that provides a browser-based interface for users to interactively select… jrosebr1/imutils — imutils is a computer vision utility toolkit and image processing library designed to simplify common manipulation… timoliver/tocropviewcontroller — TOCropViewController is a UIKit view controller designed for image cropping and rotation within iOS applications. It…