oxipng VS ImageMagick

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

To tie all this together, we made an org profile for our GitHub organization page. There are some great examples of these, like Microsoft and PayPal. For Fastly's, we wanted something friendly and human so we used Imagemagick to create a montage of all the avatars of the Fastly team members who have contributed to the open source projects in our org:

Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.

ImageMagick is the main tool and can do most conversions and image operations. For example to resize a whole folder of photos and convert to WebP you can do this:

Lack of open governance explains the fork in 2002. [0] The github commit history shows it's still a largely one-person-band. [1] The problems with this include a lack of succession planning, a lack of ability to scale bandwidth, and a narrower pool of ideas. The documentation website is really out-of-date as it mentions using a Borland compiler.

Alternatives to IM:

- https://www.libvips.org

- http://www.graphicsmagick.org (IM fork)

0. https://marc.info/?l=imagemagick-developer&m=104777007831767...

1. https://github.com/ImageMagick/ImageMagick

You can rotate it using https://imagemagick.org