Projects sharing features with JsQR

jsqrcode is a JavaScript library for decoding QR codes within a web browser. It functions as a QR code scanner and decoder capable of extracting encoded text and data from various visual sources. The library supports data extraction from static images via URLs and data URLs, as well as from canvas elements. It also provides real-time scanning capabilities by processing live video streams from a device camera through the media devices API. Its internal processing covers pattern detection, pixel sampling, and binary-matrix decoding. It utilizes Reed-Solomon error correction to recover missing

QRCoder is a native C# library for generating and rendering QR codes from text and data payloads. It provides a dependency-free implementation of the QR code standard for the .NET ecosystem, handling the full process from data encoding to visual output. The library includes tools for customizing QR codes through the adjustment of colors, error correction levels, and the embedding of custom logos. It also supports standardized payload formatting for specific data types such as WiFi credentials, contact cards, and payment systems. The rendering engine outputs QR codes into multiple formats, in

EFQRCode is a Swift library for generating, styling, and scanning QR codes across iOS, macOS, watchOS, tvOS, and visionOS. It functions as a toolkit for creating both static and animated QR codes and extracting encoded text from one or multiple codes within a single image. The library enables visual branding through the integration of watermarks, icons, and animated sequences. It supports multi-format export, allowing generated codes to be saved as static images, lossless PDFs, animated GIFs, or video files. The toolkit covers high-level functional areas including QR code generation, image-b

imutils is a computer vision utility toolkit and image processing library designed to simplify common manipulation tasks using OpenCV. It serves as an image analysis helper and geometry transformation tool for automating visual data processing. The toolkit provides specialized capabilities for maintaining image integrity during transformations, such as resizing images while preserving aspect ratios and rotating images without cropping corners. It also includes tools for four-point perspective warping to create top-down views and the extraction of topological skeletons from binary images. The

Imaginary is a self-hosted HTTP server for image processing that applies transformations like resizing, cropping, rotating, and format conversion through URL parameters. It operates as a stateless request-response pipeline, processing images fetched from remote URLs or served from a local directory without requiring client-side dependencies. The server distinguishes itself through its security and access control capabilities, offering optional API key validation, HMAC-signed URL verification, and remote origin whitelisting to restrict which image sources are permitted. It also provides a heal

Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations and edits entirely within a JavaScript environment. It is a zero-dependency image library that operates without requiring native binaries or external system software dependencies. The project provides a programmatic interface for automated image transformations, including resizing, cropping, and filtering. It supports the creation of custom image pipelines and server-side image editing by processing data without relying on native system tools.

Pixelfed is a decentralized, self-hosted photo sharing platform and social network. It uses the ActivityPub protocol to enable federation, allowing independent server instances to share user profiles, media, and posts across a distributed network. The platform distinguishes itself with a focus on media portability and processing, featuring tools for importing content from Instagram and utilizing client-side WebGL for image filter processing. It employs a driver-based storage abstraction to manage media across local disks or S3-compatible cloud object storage. The system includes capabilities

gm is a JavaScript image processing library and Node.js manipulation tool that serves as a programmatic wrapper for the GraphicsMagick engine. It translates JavaScript method calls into shell commands to automate the resizing, cropping, and transformation of images. The library provides an interface to execute specific GraphicsMagick operations while allowing raw command passthrough for custom arguments or engine features not covered by the standard API. Its capabilities cover geometric manipulation, color and tone adjustment, and image quality optimization. It includes tools for image compo

Thumbor is a dynamic image processing service and proxy server that resizes, crops, and filters images on demand via URL parameters. It functions as a URL-based image manipulator that generates specific image versions from source assets to optimize web delivery. The system includes a smart cropping engine that uses facial feature detection and computer vision to automatically center thumbnails on the most relevant visual content. To prevent unauthorized parameter tampering and malicious requests, it employs signature-based request validation and domain-based source whitelisting. Broad capabi

ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying digital images. It functions as a comprehensive toolkit for resizing, cropping, and applying pixel-level filters while managing color profiles and pixel data across various file formats. The project integrates a 2D vector graphics engine and a typography rendering engine to draw geometric shapes, paths, and complex stylized text onto images. It also includes a geometry boolean operation library for calculating intersections, unions, and differences between complex polygons and c

Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and saving various image file formats. It serves as a multi-format image codec wrapper that enables the reading and writing of diverse standards such as JPEG, PNG, TIFF, and BMP. The library provides tools for programmatic image manipulation, including resizing, cropping, rotating, and transforming visual content through direct pixel data modification. It supports pixel data analysis to extract and modify raw information for custom visual processing and data transformations. The

GPUImage is a GPU-accelerated image processing framework for iOS designed to apply real-time filters and effects to images and video. It functions as a processing engine and fragment shader library that manages textures and shaders for efficient visual data manipulation. The framework utilizes a chainable filter architecture and a texture-based data pipeline to pass image data between processing stages without expensive memory transfers. It enables the creation of bespoke visual effects through the authoring of custom fragment shaders and provides mechanisms to synchronize texture data with e

Graphite is a node-based visual design environment that integrates vector illustration, raster image processing, and motion graphics generation into a single platform. It utilizes a functional reactive pipeline and a data-flow execution model to propagate state changes through a graph of interconnected nodes, allowing users to construct complex, automated design workflows. The platform distinguishes itself through a context-aware evaluation engine that injects runtime metadata—such as coordinate data and loop indices—directly into the node graph. This enables the creation of procedural geomet

pixelmatch is a JavaScript image comparison library and pixel-level difference detector. It identifies mismatched pixels between image data arrays and quantifies the differences based on a configurable sensitivity threshold. The tool generates visual difference maps that highlight specific pixel changes for manual review. It includes a command-line interface for comparing image files and exporting the resulting difference maps to the file system. The project provides capabilities for automated image analysis and visual regression testing, utilizing anti-aliasing heuristic filtering to ignore

Kingfisher is a library for downloading, caching, and displaying remote images in Swift applications. It provides an integrated framework that manages the entire lifecycle of remote assets, from initial network retrieval to final rendering within user interface components. The library distinguishes itself through a two-tiered storage mechanism that balances rapid access via volatile memory with persistent availability through disk caching. It features a modular processing pipeline that allows for dynamic image transformations, such as applying filters or geometric modifications, during the re

ImagePy is a Python-based framework designed for scientific image analysis and processing. It provides a modular environment where users can perform complex tasks such as image segmentation, morphological operations, and volumetric reconstruction on multidimensional data. The platform distinguishes itself through a plugin-based architecture that decouples processing logic from the host environment. It utilizes reflection to automatically generate user interfaces from plugin attributes, allowing for the integration of custom tools without modifying core source code. Users can record sequences

Color-thief-py is a Python library designed to analyze digital images for the purpose of extracting prominent color information. It functions as a computer vision tool that processes image files to identify the single most dominant color or to generate a representative color palette based on the visual composition of the source. The library utilizes the Pillow imaging library to handle diverse file formats and load image data into memory as structured pixel arrays. By mapping these pixels into a three-dimensional color space and applying median-cut quantization, the tool identifies statistica

PRML is a Python machine learning library and statistical learning toolkit. It provides code implementations of supervised and unsupervised learning concepts, including regression, classification, and neural network algorithms for statistical data modeling. The project functions as a pattern recognition toolkit used to identify theoretical structures within numerical datasets. It includes a neural network framework for solving nonlinear data mappings and a linear algebra toolkit that utilizes vectorized operations and matrix calculations. The library covers a broad range of capabilities, inc

qrcp is a command-line file sharing utility that hosts a temporary local network server to facilitate wireless file exchanges between computers and mobile devices. It functions as a secure local file host, enabling the transfer of assets over a Wi-Fi network via a web browser. The tool distinguishes itself by using QR codes to automate device pairing, removing the need for manual IP entry. It ensures data privacy through certificate-based HTTPS encryption and simplifies the movement of directory structures by bundling multiple files into ephemeral zip archives. The system supports bidirectio

jquery-qrcode is a client‑side QR code generator built as a jQuery plugin. It creates QR code images entirely in the browser without sending data to an external service, making it suitable for offline usage and reducing network dependencies. The plugin accepts input data — such as a string or URL — and produces a QR code that can be rendered as an image in any selected DOM element. Because it is a jQuery plugin, jquery-qrcode integrates naturally into existing jQuery‑based web projects using the usual plugin API. The generated QR code can be customised with adjustable size, error correction l

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 project features an interactive document scanner interface that allows for manual crop area adjustment. This is achieved through draggable anchor points and a magnifying glass tool for high-precision pixel alignment. The li

This project is a command-line tool designed for image super-resolution and noise reduction, with a primary focus on anime-style illustrations. It utilizes convolutional neural network inference to reconstruct missing pixel data and remove digital artifacts, allowing users to upscale images and reduce noise either independently or in a single simultaneous processing pass. Beyond its core image restoration capabilities, the software provides a comprehensive suite for machine learning model training. Users can prepare custom datasets and optimize neural networks for specific restoration tasks,

Background Removal JS is a client-side neural matting library that runs a lightweight AI model directly in the browser to compute alpha mattes, removing image backgrounds without uploading any data to a server. It functions as a browser-based image background removal SDK and client-side image matting library, keeping all processing on the user's device to eliminate server costs and preserve privacy. The project provides a cross-platform creative editing engine that produces identical image and video output across web, mobile, desktop, and server environments from a single codebase. It offers

txqr is a protocol and encoder for streaming large data payloads over QR codes. It enables the offline transfer of data between devices by encoding information into a sequence of scannable QR images. The system uses fountain codes and erasure coding to ensure data integrity. This allows a receiver to reconstruct the full original message from any subset of frames, making the transmission resilient to missed or corrupted frames during the scanning of animated QR sequences. The project covers high-volume data encoding and frame-independent reconstruction. It supports looping sequence streaming

opencv4nodejs is a set of JavaScript wrappers and a C++ native addon that provides Node.js bindings for the OpenCV library. It functions as a computer vision library and image processing framework, exposing high-performance C++ algorithms to a JavaScript environment. The project enables the execution of vision algorithms for detecting faces, tracking objects, and analyzing visual data using deep neural networks. It includes capabilities for data pattern classification, text pattern recognition, and the identification of facial landmarks and gestures. The framework covers a broad capability s

Moveable! Draggable! Resizable! Scalable! Rotatable! Warpable! Pinchable! Groupable! Snappable!

EasyImages2.0 is a self-hosted, database-less image hosting platform. It stores files directly on the server and generates shareable links without requiring a relational database, utilizing flat-file metadata storage and filesystem-based content mapping. The platform includes a centralized web management interface for organizing uploaded media and monitoring site statistics. It features an integrated image processing gateway that automatically resizes, compresses, and converts image formats during the upload process, and can apply custom watermarks to protect ownership. Additional capabiliti