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ImageMagick is a software suite to create, edit, and compose bitmap images. It can read, convert and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF. Use ImageMagick to translate, flip, mirror, rotate, scale, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and B├ęzier curves.

The functionality of ImageMagick is typically utilized from the command line or you can use the features from programs written in your favorite programming language. Choose from these interfaces: G2F (Ada), MagickCore (C), MagickWand (C), ChMagick (Ch), ImageMagickObject (COM+), Magick++ (C++), JMagick (Java), L-Magick (Lisp), NMagick (Neko/haXe), MagickNet (.NET), PascalMagick (Pascal), PerlMagick (Perl), MagickWand for PHP (PHP), IMagick (PHP), PythonMagick (Python), RMagick (Ruby), or TclMagick (Tcl/TK). With a language interface, use ImageMagick to modify or create images dynamically and automagically.

Its features include:

  • Format conversion: convert an image from one format to another (e.g. PNG to JPEG).
  • Transform: resize, rotate, crop, flip or trim an image.
  • Transparency: render portions of an image invisible.
  • Draw: add shapes or text to an image.
  • Decorate: add a border or frame to an image.
  • Special effects: blur, sharpen, threshold, or tint an image.
  • Animation: create a GIF animation sequence from a group of images.
  • Text & comments: insert descriptive or artistic text in an image.
  • Image identification: describe the format and properties of an image.
  • Composite: overlap one image over another.
  • Montage: juxtapose image thumbnails on an image canvas.
  • Motion picture support: read and write the common image formats used in digital film work.
  • Image calculator: apply a mathematical expression to an image or image channels.
  • Discrete Fourier transform: implements the forward and inverse DFT.
  • High dynamic-range images: accurately represent the wide range of intensity levels found in real scenes ranging from the brightest direct sunlight to the deepest darkest shadows.
  • Encipher or decipher an image: convert ordinary images into unintelligible gibberish and back again.
  • Virtual pixel support: convenient access to pixels outside the image region.
  • Large image support: read, process, or write mega-, giga-, or tera-pixel image sizes.
  • Threads of execution support: ImageMagick is thread safe and most internal algorithms are OpenMP-enabled to take advantage of speed-ups offered by the dual and quad-core processor technologies.
  • Heterogeneous distributed processing: certain algorithms are OpenCL-enabled to take advantage of speed-ups offered by executing in concert across heterogeneous platforms consisting of CPUs, GPUs, and other processors.



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libvips - A fast image processing library with low memory needs.

libvips is a 2D image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolutions, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric formats, from 8-bit int to 128-bit complex. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick.

im4java - java interface to the ImageMagick commandline

im4java is a pure-java interface to the ImageMagick commandline. im4java just generates the commandline for the ImageMagick commands and passes the generated line to the selected IM-command (using the java.lang.ProcessBuilder.start()-method).

JMagick - Java interface of ImageMagick

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CoreAR - AR(Augmented reality) framework for iOS, based on a visual code like ARToolKit

CoreAR.framework is open source AR framework. You can make an AR application using visual code like ARToolKit using this framework. CoreAR.framework does not depend on the other computer vision library like OpenCV. Considered portability, this framework is written only C or C++. The pixel array of an image is passed to CoreAR.framework and then visual code's identification number, rotation and translation matrix are obtained from the image including a visual code. Image processing speed of this framework is about 15 fps on iPhone4. Take notice that CoreAR.framework depends on Quartz Help Library and Real time image processing framework for iOS. You have to download these libraries and put on them at the path where CoreAR.framework has been installed.

OpenCV - Open Source Computer Vision

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. The library has more than 500 optimized algorithms. It is used to interactive art, to mine inspection, stitching maps on the web on through advanced robotics.

Magick.NET - The .NET library for ImageMagick

ImageMagick is a powerful image manipulation library that supports over 100 major file formats (not including sub-formats). With Magick.NET you can use ImageMagick in your C#/VB.NET/.NET Core application without having to install ImageMagick on your server or desktop.For examples on how to install and use Magick.NET visit the documentation page. For more information about ImageMagick go to:

Flyimg - Microservice to resize and crop images on the fly

Image resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.

thumbd - Node.js/AWS/ImageMagick-based image thumbnailing service.

Thumbd is an image thumbnailing server built on top of Node.js, SQS, S3, and ImageMagick.You can easily run Thumbd on Heroku. Simply set the appropriate environment variables with config:set and deploy using the Procfile provided.

Sharp - High performance Node.js image processing

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.

bimg - Small Go package for fast high-level image processing powered by libvips C library

Small Go package for fast high-level image processing using libvips via C bindings, providing a simple, elegant and fluent programmatic API.bimg was designed to be a small and efficient library supporting a common set of image operations such as crop, resize, rotate, zoom or watermark. It can read JPEG, PNG, WEBP natively, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings.

Scrimage - Scala image processing library

Scrimage is a consistent, idiomatic, and immutable scala library for manipulating and processing of images. The aim of the this library is to provide a quick and easy way to do the kinds of image operations that are most common, such as scaling, rotating, converting between formats and applying filters. It is not intended to provide functionality that might be required by a more "serious" image processing application - such as face recognition or movement tracking.

ruby-vips - Ruby extension for the libvips image processing library.

This gem provides a Ruby binding for the libvips image processing library. Programs that use ruby-vips don't manipulate images directly, instead they create pipelines of image processing operations building on a source image. When the end of the pipe is connected to a destination, the whole pipeline executes at once, streaming the image in parallel from source to destination a section at a time.

Bash Batch Image Processing Scripts

bbips - Bash Batch Image Processing Scripts. A collection of bash scripts that use Imagemagick to quot;batchquot; process entire directories of images all at once. For use with Linux and Unix systems to batch process *.jpg image files from the bash shell.

Marvin - Image Processing Framework

Marvin is an image processing framework that provides features for image and video frame manipulation, multithreading image processing, image filtering and analysis, unit testing, performance analysis and addition of new features via plug-in. It can process camera frames for video filtering, object tracking, augmented reality, motion detection and analysis among other things.

vpp - Video++, a C++14 high performance video and image processing library.

The generic container imageNd<V, N> represents a dense N-dimensional rectangle set of pixels with values of type V. For convenience, image1d, image2d, image3d are respectively aliases to imageNd<V, 1>, imageNd<V, 2>, and imageNd<V, 3>. These types provide accesses to the pixel buffer and to other piece of information useful to process the image. In contrast to std::vector, assigning an image to the other does not copy the data, but share them so no accidental expensive deep copy happen.

Thumbnailator - A thumbnail generation library for Java

Thumbnailator is a thumbnail generation library for Java. Learning how to use the Image I/O API, Java 2D API, image processing, image scaling techniques etc is fairly difficult task. Thumbnailator will take care of all those things for you. Thumbnailator is a single JAR file with no dependencies to external libraries, making development and deployment simple and easy. It also provides support to watermark, rotate, fluent API.

imaginary - Fast, simple, stateless HTTP microservice for high-level image processing with first-class support for Docker & Heroku

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Heroku. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, gzip compression, HTTP traffic throttle strategy and CORS support for web clients.

vips - Go Bindings for Vips (a super fast image processor)

This package is powered by the blazingly fast libvips image processing library, originally created in 1989 at Birkbeck College and currently maintained by JohnCupitt. The typical use case for this high speed package is to convert large images of many formats to smaller, web-friendly JPEG, PNG images of varying dimensions.


The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat, Iko