Lossy png compressor online3/16/2023 ImageAlpha greatly reduces file sizes of 24-bit PNG files (including alpha transparency) by applying lossy compression and conversion to a more efficient PNG8+alpha format. It was written in Python 2, and Python 2 has been deprecated and removed from macOS.Īlternatives: lossy option in ImageOptim, pngquant, or squoosh.app. The fantastic macOS GUI animations were designed by Gary Jacobs.This application is no longer supported. Kornel Lesiński and the pngquant project contributors.Lode Vandevenne, Jyrki Alakuijala, and the zopfli project contributors.The hard work on the optimization engines that run Crunch has been performed by: AcknowledgmentsĬrunch is a simple tool that makes excellent, free, open source software built by others more accessible. Source contributors should fork the git repository and submit changes as a Github pull request. Please suggest enhancements as new issue reports on this repository. ContributingĬontributions to the project are warmly welcomed. See the LICENSE.md document for details and additional licensing information for this project. The source for the modified zopflipng fork that is used in this project is available here. The upstream zopflipng source code is available here. Zopflipng is licensed under the Apache License, Version 2.0. The pngquant source code is available here. Pngquant is licensed under the Gnu General Public License, version 3. LicensesĬrunch is licensed under the MIT license. Have you identified a problem? Please create a new issue report on the Github issue tracker so that we can address it. Photography Examples Cat ImageĪll images above were obtained from Pixabay and are dedicated to the public domain under the CC0 Public Domain Dedication.ĭSSIM testing was performed with v2.10.0 of the kornelski/dssim tool. Visual confirmation of image quality is highly recommended with lossy optimization tools in production settings. In some cases, degradation of image quality is visible. In many cases, the PNG optimization decreases file size with an imperceptible impact on image quality. The optimized image files are updated at every Crunch release. The following examples demonstrate the benefits and disadvantages of the current iteration of Crunch's aggressive space saving optimization strategy. Select one or more PNG images in the Finder, right-click, and select the Services > Crunch Image(s) menu item to process your files. The macOS right-click menu service "Crunch Image(s)" can be installed with make or manually by drag and drop in the macOS Finder. Crunch Image(s) macOS Right-Click Menu Service Please see the Install documentation.ĭrag and drop one or more images on the application window to process your PNG files. The Crunch native macOS GUI application can be installed with Homebrew or the dmg installer that can be downloaded from the repository releases. Please see the Install documentation.Įnter paths to your PNG image files as arguments to the crunch executable. The crunch command line executable can be installed with make or manually. Installation and usage documentation links for each of the Crunch applications are available below. Crunch Image(s) service - a macOS right-click menu service for PNG images selected in the Finder.Crunch GUI - a native macOS drag and drop GUI tool.crunch - a *nix command line executable that can be used on macOS, Linux, and Windows POSIX application deployment environments such as Cygwin or the Windows subsystem for Linux.Please see the benchmarks directory of this repository for details about the benchmarking approach and instructions on how to execute benchmarks locally on the reference images distributed in this repository or with your own image files.Ĭrunch PNG image optimization is available through the following applications that are distributed in this repository: This approach leads to a significant file size gain relative to lossless approaches at the expense of a relatively modest decrease in image quality (see example images below).Ĭontinuous benchmark testing is available in our GitHub Actions CI. It combines selective bit depth, color type, and color palette reduction with zopfli DEFLATE compression algorithm encoding using the pngquant and zopflipng PNG optimization tools. Crunch is a tool for lossy PNG image file optimization.
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