MINIFY IMAGES HOW TO
MINIFY IMAGES MAC OS
MINIFY IMAGES SOFTWARE
MINIFY IMAGES WINDOWS

You could also manually try to simplify paths using in-software options.Īll of that being said, a good command line SVG minification tool is SVGO.

MINIFY IMAGES SOFTWARE

Getting a well optimized SVG from one of these software is already pretty good as far as minification goes.

MINIFY IMAGES HOW TO

If you're using SVGs at all you probably already know how to export an 'optimized' version of them from your authoring software such as Inkscape or Adobe Illustrator. Comments and useless attributes come to mind but you can also simplify complex paths so that the amount of nodes they're made of decreases, and some attributes can removed by using global styles or equivalent. SVG is a vector graphics format using XML text data.Ĭompressing a SVG usually involves removing XML nodes. Quick comparison again with a photograph, original first with size 684 Kb:Īnd the compressed version with size 370 Kb: The '-s' option ensures we strip all the EXIF and related data, jpegoptim doesn't do it by default. You can lower the '-m' parameter value to increase compression but you'll lose more quality in the process. The basic minification command is as follows: jpegoptim -m90 -s.

MINIFY IMAGES MAC OS

On Mac OS it can be installed with Homebrew.Ĭontrary to how pngquant worked, jpegoptim compresses in place by default so you might want to make a backup of the images beforehand.

MINIFY IMAGES WINDOWS

It's present in a form or another on Linux package managers and you should be able to find a Windows installer after a quick search. Our program of choice for JPEG optimization is jpegoptim. The venerable JPEG image format based on lossy compression algorithms can still achieve very good results on images with slow contrast changes (large photographs are a good use case). Now that you've been warned, here's how you'd do it from inside the target directory: pngquant -f -ext. You should probably make a copy of the original files before doing so, because even if PNG is lossless by default, pngquant might decide to remove some colors from the image as part of the minification process, ultimately resulting in lossy compression. There is a way to quickly replace all PNG files in a directory with their minified version. The pngquant command has also removed any EXIF and related data (although the PNG 'comment' field is still there). There is a difference in quality but it's barely perceptible and this is a rather big picture with significant color depth. Here's a quick comparison of the original and compressed versions, original first with size 424 Kb:Īnd the compressed version with size 184 Kb: You can then check the result for yourself rather than taking my word for it but at some point I just started trusting the default setting. The easiest way to produce a minified version of a given image would be to use a command such as: pngquant. The good news is you don't really have to fiddle with it too much because the default (that is, not providing that quality parameter) produces pretty good results.

The program accepts a parameter to set the target quality treshold. Quick important note: all these tools are meant for the command line but will work on Windows, Mac and Linux. Sometimes you just don't want to minify everything and minifications techniques are not equal in how they might affect the quality. You could very well use these independently yourself.įor instance, I tend to manually minify most of my PNG files but leave the JPG as they are unless said JPGs are really big. Image minification makes use of various independent tools. Here's a rundown of a few techniques to minify your images without losing too much in the process. That data is almost always unwanted for web usage and can divulge unwanted information about locations, among other things. Systematic image minification also has the advantage of removing all of the EXIF and similar text metadata from images. In some cases we've actually seen huge images bring servers down by snowball effect, mostly because connections have to be maintained for much longer to transfer the image data stream to each client which can severely affect some server software that possibly wasn't meant to stream high quantities of binary data. Images can quickly take up a lot of storage space and make up a huge difference in bandwidth usage when involved in mass mailing campaigns.

Minify images