![]() You don’t have to know how to code in Python, or learn this particular library with all its interfaces and methods and their implementations. This modern library works even faster than native Intel API methods for image resizing on x86 processors. Uploadcare utilizes the Python Pillow open-source library, which processes images and offers methods such as resize, enhance, compress, etc. How does Uploadcare handle JPEG compression? Hint: If you need to reduce the image file size even more, the wiser solution would be to reduce the dimensions (in pixels). If you select quality of less than 80%, artifacts may appear, and the file size won’t be reduced by that much more. Within this range, you’ll reduce the size of a JPEG image the most without losing much quality. Go to the main File menu and click Save as.There’s not much to say: just open an image with Photoshop, GIMP, or Preview (on macOS) and follow these steps: While this article is aimed towards web techniques to optimize JPEG for websites, I’ll say a couple of words about how it works offline. It doesn’t work well for website elements, such as lines, logos or images with contours (i.e., anything that has a vector graphic source). JPEG type compression works best with photo images with millions of colors without distinct contours. Decent compression is not noticeable in real photos, but computer-generated or hand-drawn graphics will feature artifacts around sharp edges. The compression algorithm divides an image into cells with an 8x8 pixel grid and compresses each of them. Hence, it’ll provide a better retention rate and an increased average shopping cart amount for each customer within one shopping session. Image optimization will make loading 40% faster. API method to optimize JPEG to use on your website For instance, here are the stats of a retail store’s main page with 55 million monthly visits. You can use the PageDetox service to detect problems with image loading on your website. Plus, there are promo banners, and thumbnails that can be shrunken in size without much visual difference. A good example is an online store or a similar service that has 5 to 10 pictures for every item, and there might be millions of items. If you run a business website that’s heavy on images with picture traffic that takes up to 60-80% of all the data, image optimization is a must-have feature. Faster page loading improves Customer Experience (CX) and reduces bounce rate, which positively affects your business metrics. Optimized images take up much less space, and therefore, it takes less time to load a webpage with images. jpg images if they’re compressed the right way. Still, it remains the most popular image format on the web, and it’s hard to go wrong with. JPEGs have been around for quite a while (since 1992), and the compression algorithms are not the most efficient. Lossy means that the files are compressed (reduced in size) by deleting unnecessary information and replacing other information with inexact representations, which makes the compression irreversible. JPEG is a lossy image format which is supported by all internet browsers. ![]() Image optimization includes the following techniques: ![]() ![]() The rest of the text is dedicated to website and web service admins who deal with lots of pictures and have a large business task of reducing the size of JPEG images on the fly without compromising their quality. ![]() If you need to get just one JPEG optimized or a few, you can skip to the paragraph on offline optimization. In this article, you’ll learn how to optimize JPEG images for the web. First published on April 21, 2020, in Other Everything Insights Engineering News Product Culture Compliance Optimize JPEG images for the web without losing quality ![]()
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