![]() ![]() ImageOptim removes hidden metadata from images, such as GPS position and camera serial numbers. Images for “Retina” displays need 4 times as many pixels as regular displays - usually quadrupling file sizes as well! ImageOptim has an option to apply heavy compression tuned especially for high-density displays to keep these file sizes down.Ĭonvert -resize 640 -quality 75 ImageOptim with high-dpi setting When necessary, ImageOptim API embeds a custom, very small ICC color profile in photo files for accurate color reprduction on wide-gamut displays. Colors are faithfully reproduced, and resizing accurately preserves overall brightness of grain and lines. ![]() ImageOptim API applies ICC color profiles and resizes in gamma-corrected 48-bit depth to achieve quality required for professional photos. Most resizing tools favor speed over quality ImageOptim uses precise algorithms to avoid color shifts If you've used off-the-shelf tools and haven't optimized images before, switching to ImageOptim will make your images load twice as fast. ImageOptim API uses custom, modern encoders and adjusts compression parameters for each image. Easily create image variants for srcset and markup. ImageOptim API can generate images specifically tuned for high-DPI screens and “compressive” images. Quickly add responsive images to web applications and CMSes. You'll get fast-loading images that meet your requirements without burdening your users with technicalities or file size limits. ImageOptim API removes private metadata and converts images to formats and sizes optimized for the web. Fast images increase conversions and improve SEO.Ĭlean and compress user-uploaded images. Process product photos on e-commerce sites to have competetive website performance, and ensure that high quality images are fast for mobile users too. Using cutting-edge technology is as easy as downloading an image. Integrate easily without installing specialized software. Image resizing on demandĮasily create responsive images and thumbnails with high quality resampling and compression tuned for desktop and mobile resolutions. Improved compression enables you to use beautiful images without bogging down your site. Make images load faster and save bandwidth. Please donate to support my image compression tools and research.14.0KB with ImageOptim Faster web pages and apps With ImageAlpha you can choose the best lossy method for each file and usually halve the size of PNG files with little quality loss.ĭownload the latest version for OS X (or portable posterizer/blurizer and pngquant2 separately). Optimized lossy PNG is still a bit larger than lossy JPEG-XR/WebP/ JPEG-2K, but unlike these formats it's supported by all browsers and operating systems without any fuss or hacks. text) or any transparency (which JPEG does not support at all). ![]() JPEG often gives smaller files, except when image has sharp edges (e.g. ![]() Whether lossy PNG gives better results than JPEG depends on the image. In all typical cases it's larger than optimized PNG. This reduction makes noise in images easier to compress. Posterization reduces the number of unique color intensities in a file, but in a smarter way than a “posterize” filter in graphics programs. ImageAlpha uses pngquant2, which has a very advanced palette selection algorithm and preserves alpha transparency.Ħ4-color image. PNG8 removes 3/4 of the data from the file by storing indexes of a color palette instead. PNG usually needs 4 bytes per pixel for R, G, B and alpha components. This method is based on work by Michael Vinther and William MacKay. Images below are heavily compressed for demonstration how the loss looks like.ĭiagonally blurred. Usually only few pixels match a guess, but latest ImageAlpha's “Blurizer” option manipulates image data to match the guesses, making compression much more effective. PNG has an ability to “guess” pixels based on their top and left neighbors and successful guesses compress to almost nothing. The good news is that PNG can be used as a lossy format and produce files few times smaller, while remaining perfectly compatible with lossless PNG decoders. On the other hand, lossy formats (like JPEG) produce much smaller files, because they don't save unneccessary details. Preservation of those tiny details costs a lot in terms of file size. PNG has been created as a lossless image format, meaning it's supposed to exactly preserve all details of an image, even minuscule ones that are hardly noticeable. ![]()
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