niklasvh/html2canvas

html-to-image is a JavaScript library and client-side screenshot utility that transforms DOM elements into image formats such as PNG, JPEG, or SVG. It functions as a DOM-to-canvas renderer, using the browser's native rendering capabilities to convert document nodes into rasterized images or canvas elements. The library leverages SVG foreignObject serialization to capture live DOM content, which is then rasterized into pixel-based formats. It includes specialized exporters for generating binary Blobs or raw RGBA pixel data as typed arrays. The tool provides configurations for image appearance

dom-to-image is a programmatic tool for capturing the visual state of HTML elements as downloadable images or raw image data. It functions as a DOM to image converter that renders specific nodes as base64 data URLs, binary blobs, or pixel arrays. The library transforms HTML elements into raster or vector images by utilizing the HTML5 canvas API. It can retrieve raw byte arrays of a DOM node for low-level image manipulation as an RGBA pixel data extractor. The project covers web content rasterization and the generation of dynamic screenshots from live HTML content. It handles the conversion o

Snapdom is a DOM capture engine that serializes live web page elements into images, videos, documents, and other formats. It converts any DOM subtree into PNG, JPG, WebP, SVG, PDF, or self-contained HTML, and can record animating elements as video files or animated GIFs using the browser's MediaRecorder API. The library distinguishes itself through a plugin-based architecture that allows custom output format handlers and pipeline hooks to extend the capture process without re-cloning the source element. It manages separate caches for images, styles, and fonts with preloading and clearing meth

This library is a client-side utility for generating QR code matrix patterns directly within web browsers. It functions as a frontend tool that converts text strings, URLs, and contact information into scannable visual data without requiring server-side processing. The library provides a platform-agnostic interface that renders these patterns using either HTML5 canvas elements or dynamic document object model node injection. It incorporates matrix-based data encoding and Reed-Solomon error correction to ensure that the generated patterns remain readable even if portions of the image are damag