I'm not sure exactly how that could apply to JPEG lossy compression, and it's likely beyond the scope of ImageOptim, but I have often longed for such a tool when I'm really trying to make web assets as small as possible. You can toggle between the modified and original image to see just how much quality was lost.There are a few reasonable options related to the algorythm presented in an unintimidating way.You can slide the quality (number of colors) bar down as low as you want.While in many (most?) cases it would be overkill, I really like the way ImageAlpha does things: I often apply some measure of lossy compression to images that I will use on the web. I like to apply lossless compression to images I'm importing from my camera before I archive them. lossy options would only clutter things up, I believe. I like that the same settings are applied to all of the files in the window per-image lossless vs. There have been times in the past when I wanted lossless, and then noticed that I had JPEG quality set to 80% in the preferences. How could these optimizations be done? (all modal dialog boxes such as "Are you sure?" are out of the question There are times when I want lossy and there are times when I want lossless. ImageOptim's ease of use mainly comes from the fact that it overwrites files in place with no fuss, but that can't be done with dangerous optimizations. So the problem is that in 90% of cases those optimizations are awesome, but in some cases they may ruin the file. Converting non-animated GIFs, TIFFs, BMP to PNG or JPEG.JPEGs sometimes are stored with unnecessarily high quality, and there are tools like adept and JPEGmini that try to recompress JPEGs at lowest possible quality.Issue SVG support #5 - most SVG optimizations are unsafe if SVG contains scripts or author wants to keep editing the file.pngquant can reduce PNG file size by 70%, but sometimes quality degradation is noticeable, and those files expose Photoshop's lousy PNG support (CS5 can't load them, CS6 can't save them).I'd like to hear suggestions how to implement lossy optimizations:
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