Result_data = om_buffer(source_data).to_buffer()įile_name = file_name.replace(source_dir_name + '/', '') with open('unoptimized.jpg', 'rb') as source: You can pass an image file as buffer or image url instead of an image file path. Get file names by glob and pass image files to TinyPng API with om_file method. create a src for source images and dist for optimized images. Go to and type your name and email address. In this post, I will show you how to use the API with python. The great thing is that TinyPNG has API and packages for multiple languages. That is useful but we sometimes need to compress more than 20 images. TinyPNG has web app that allows us to compress images(up to 20 images & max 5MB each). The effect is nearly invisible but it makes a very large difference in file size! By selectively decreasing the number of colors in the image, fewer bytes are required to store the data. It is a full-blown image manipulation application and compression is a small part of its overall capability.TinyPNG uses smart lossy compression techniques to reduce the file size of your WEBP, JPEG and PNG files. Understanding all the options and getting a perfect configuration might be a challenge for people who are new to ImageMagick. ImageMagick is also one of the most popular offline alternatives for image compression. Squoosh is not just yet another alternative for TinyPNG, it outperforms it in quality and other configuration options. The below is the output of the image after compressing and resizing it to 700px. # and rename the file by appending _new to the filename # Compress the image with 75% quality and resize it to 700 px width # Append the file name with _x and compress the image with 75 % quality # Compress the image with default quality and resize the image to 700 px width To call the above function, try the below commands.

I am using an image, with size 18.24MB size from Unsplash for this demo. Let us see, how to perform some of the common use cases with Squoosh cli. Similar to TinyPNG, Squoosh also has an online compression service that can be accessed at Squoosh CLI and Its Options This would install Squoosh and it’s dependencies in your local machine. To install Squoosh CLI, execute the command npm i -g in terminal. Those steps are for SUSE Linux, but it would work for most of the Linux Operating systems. If you wish to install multiple different versions of NodeJs, this link explains the steps.

Tinypng app