svgcleaner VS oxipng

I'm not sure, but it seems svgcleaner can remove unused and invisible graphical elements[1]. I don't know if TinyVG preserves them. but if it does, it's not a fair comparison.

Did you try converting svgcleaner processed SVG to a TVG?

[1] https://github.com/RazrFalcon/svgcleaner

oxipng, pngquant and svgcleaner — optimizing images

One of the new features of Godot 4 is svg with embeds like svg, jpg and png. Also if you have svg fonts, you can clean it with https://github.com/RazrFalcon/svgcleaner and it may import.

svgcleaner is designed for standalone SVG files, and will fail on or butcher a significant fraction of inline SVG icons and the likes because it can’t cope with currentColor.

There's also SVG Cleaner which has some compelling benefits over SVGO.

svgcleaner is a CLI (command line) tool which cleans up vector files. Often, vector files will have a lot of extra “stuff” in them that aren’t needed for the presentation side of things, so this helps to reduce the file size. I store both the original vector of the icon, and a cleaned version.

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.

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

oxipng, pngquant and svgcleaner — optimizing images

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).

    pngquant --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.

Assuming your frames are PNG files, you could use a lossless optimizer like optipng to try if their size can be reduced. I prefer oxipng, which is faster and multithreaded, and seems to have more active development.

Not sure what extensions of images you use, but if they’re PNG you could use oxipng: https://github.com/shssoichiro/oxipng