EBLearn VS TinyJPG

It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 2 years ago

Improve your website speed and mobile responsiveness. Google loves websites that load fast. Make sure your pictures aren't heavy. Use apps like TinyJPG. Use the right amount of animation because too much of anything is bad. Source: 7 months ago

Extract the scanned image and resize to make it a bit smaller, then compress the images on tinyjpg.com, merge them all into one pdf file using smallpdf, finally compress the pdf file again on the same website. Source: about 1 year ago

I'd say that a proper OR recommended approach towards optimizing images for the web is to manually compress them with compression tools like TinyJPG or Squoosh before uploading them to your favorite image CDN. Why? you'd ask me. - Source: dev.to / about 1 year ago

Oh and for the file size: compressing is usually better than resizing. And your image is a PNG which is much bigger in size than a JPG and you barely notice the difference. You can use https://tinyjpg.com/ or any proper image editor for good compression or even in Wonderdraft, you can (for sharing on Reddit) better export it as a JPG and at 80% or so. Source: over 1 year ago

Compress image using commandline tool (convert / jpegoptim) or online tool - https://tinyjpg.com/. - Source: dev.to / over 1 year ago