![]() My article “ PNG that works” explains PNG8 format, and other PNG optimisation issues in more detail. ![]() Your contributions are welcome! Please check out/fork the source code (Python) and improve it! Feel free to contact me for assistance. ImageAlpha is free, open-source software under terms of the GPL v2. You'll find compiled pngquant executable in ImageAlpha.app/Contents/MacOS directory. Batch processingĪvailable from command line. Double-click toggles between 1:1 and zoomed image. “Hidden” features: background and the image are draggable. You can drag your own background images to that area. You can test image on different backgrounds by selecting backgrounds from the palette on the left. As I have to use it a couple of times a day with lossy minification activated, I would love to see an additional. ![]() becomes much brighter or saturated), you need to remove color profile from your PNG (convert image to sRGB/gamma 2.2 in your graphics program or remove gamma with ImageOptim.) Right now I have to reactivate the loosy minification every time I start ImageOptim. ImageOptim may be able to reduce file size even more. IE6-friendly alpha makes almost-opaque colors fully opaque, to make image degrade better in IE6. If the quality is great, try reducing number of colors, which will also further reduce file size. If the quality isn't good enough, choose between Median Cut and Posterizer compression type and try Dithered mode. If image is large, there might be progress spinner visible for few seconds. Small images should be converted instantly. How to use itĭrag true-color PNG image into main part of the window. ImageAlpha can achieve better quality than similar function in Macromedia Adobe Fireworks by employing latest pngquant and pngnq-s9 and alpha-channel-aware posterizer. Such images are compatible with iOS, all browsers, and even degrade well in IE6. 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.
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