Normal JPEG file will load and appear on a website from top to bottom. As of the time of writing this article WebP is not supported on Safari (mobile and desktop) and not every image viewer can handle this file format.Įven in the case of JPEG we have some additional options like Progressive JPEG. Also third party software (like image upload forms in web apps) must allow and handle such file formats which won't happen very often. Such new file formats may provide additional advantages but they need to be supported by for example web browsers if you want to publish an image on the web. Photographs will usually use JPEG, but there are newer formats on the rise like WebP. If needed you can extract Exif data and save it independently of derived image files that have been stripped of it. Removing Exif tags reduces image size a bit but you loose all information about the image. It can be shown by apps that can read Exif data. By default this data is not visible when viewing such image. Images can also have Exif metadata attached to it - like brand and model of used DSLR, lens and exposure settings. Converting data from 16-bit to 8-bit reduces it size but it’s then less suitable for processing and will likely loose some data during conversion (note that monitors for the most part are 8-bit displays). Also TIFF stores data as 16-bit integers where as JPEG uses 8-bit integers. TIFF is a lossless file format while JPEG uses compression algorithms to vastly decrease file size at the expense of quality. Using additional, much smaller thumbnail is also a common practice. If a user is uploading a TIFF from a DSLR then such image can be converted to JPEG, resized if large and then Exif metadata could be dropped. The very basic thing a website can do is to publish an image in best suited file format and keeping a limit to image dimensions. For a site with multiple images this may be crucial for achieving good conversion ratio of customers or lower bounce rate of users reading a website. Smaller images load faster, consume less data cap and give functional website quicker. Optimizing images for usage on website is quite an important task. All for saving bandwidth and decreasing time needed to load all elements of a webpage.īut what if we have an image that is ready to be posted on a web page by a user that isn't an expert? What tools can we use to automatically optimize uploaded images? In this article I'll go over few Python and service based solutions for image optimization. Image can be converted to different file formats, resized and so on. The first step of optimizing an image is to install the Pillow module.Image optimization is a broad topic. After running it, you’ll receive lossless compression for the images.įor this tutorial, we use the Pillow module for image compression.
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