Based on our record, Oxipng should be more popular than ImageAlpha. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If anyone wants a internet-free app on OSX, try ImageAlpha! It's great, lots of settings to try and optimize PNGs. https://pngmini.com/. - Source: Hacker News / almost 2 years ago
For non photographic images, I use a combination of ImageAlpha and ImageOptim and sometimes crop the image to 2x of the maximum expected display size (2x so that the image will stay sharp on high-DPI screen). Keep in mind that my method uses the lossy compression approach. Meaning that you wouldn't want to use my method on your master images. Source: over 2 years ago
Try ImageAlpha by the same author as ImageOptim for transparent PNG optimization. Source: about 3 years ago
I have had good experiences with https://github.com/shssoichiro/oxipng . Although, I suspect this wouldn't give you nearly enough space savings as jpg. Source: 12 months ago
If you do want the file as a PNG (for transparency and a common format that's well supported), but don't want it so huge, consider something like oxipng. https://github.com/shssoichiro/oxipng. Source: over 1 year ago
Oxipng, pngquant and svgcleaner — optimizing images. Source: over 1 year ago
I wonder how `pngcrush` compares to `oxipng` (https://github.com/shssoichiro/oxipng). Personally, I use `oxipng` if I want lossless compression. However, most of the time, I use `pngquant` instead, since it gives significant size reduction even at `99%` (I can't even distinguish between the original and reduced image).. - Source: Hacker News / over 1 year agopngquant --quality=99 --ext=.png --force file.png
Depending on your workflow it might make sense to export PNGs directly from Affinity and then reduce their size with a utility like Oxipng, which uses all your cores to find the best algorithm for each particular image. Source: almost 2 years ago
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