![]() ![]() Lossless (cropped) Lossless image cropped. Please compare the cropped images or click on them to open the full versions, and see how they suit your needs. Here is an example, but you could make your own tests using your own images. The best way to choose the proper optimization for your images is to see how they look with your own eyes. If you want your images remain untouched, then select this option. Lossless optimized images are pixel-by-pixel identical with the originals, but they offer a smaller size reduction compared to either Lossy or Glossy processed files. Glossy is the best choice if you still care about Google Insights but you believe that a slight loss of page speed is an acceptable compromise for a top notch image quality. So, if the speed of your site is paramount and you want the best balance between optimization and picture quality, we recommend you to continue to use Lossy optimization. The images processed with Lossy algorithms are the smallest optimized images you can get. Lossy is the best option for the most users. Lossy, Glossy or Lossless – which one is the best for me? The images optimized with Glossy look identical to the human eye with the original images, but they comply with the present criteria regarding the web applications. But, web standards, mobile popularity and visitors expectations changed in the last years, and lossless optimized images became too big for the present market standards. Many of these users always preferred lossless optimization to lossy. Photographers are able to see details in images which most of us might miss. For them, image quality comes first, before page speed. We added the new optimization option because some professional photographers asked for it. We still recommend Lossy for the most user cases, because it has the best balance between image optimization and picture quality. ![]() The new feature is a lossy optimization algorithm calibrated for the photographer’s needs. ShortPixel introduces a new image optimization option called Glossy. ![]()
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