brunsli VS pyvips

we need Native Support for Python (or at least a reliable package) for managing the JXL files and up to this point brunsli (JXL_Patch) (which I couldn't make heads or tails of it) and jxlpy (which had problems installing on Python 3.11) were the only solutions I could find that came close to solving this issue, so ... what should we do?

To add to this, it's already possible to give this a try via building Brunsli from source:

https://github.com/google/brunsli

I personally use the cbrunsli/dbrunsli cmdline programs to archive old high-resolution JPEG photos that I've taken over the years. Having a gander at one subdirectory with 94 photos @ 354 MB in size, running cbrunsli on them brings the size down to 282 MB, which brings in savings of about 20%. And if I ever wanted to convert them back to JPEG, each file would be bit-identical to the originals.

Perhaps it's a little early to trust my data to JPEG XL/Brunsli, but I've ran tests comparing hundreds of MD5 checksums of JPEG files losslessly recreated by Brunsli, and have not yet ran into a single mismatch yet.

I can only say that I am very excited for the day that JPEG XL truly hits primetime.

We're off topic here, but in pyvips (for example) you can do text overlays like this:

https://github.com/libvips/pyvips/blob/master/examples/annot...

tldr: make an image containing your text, composite it over the image you want to annotate.