Cloudimage automates the transformation and optimization of images on the fly and accelerates their distribution via the Content Delivery Network (CDN). Thanks to Cloudimage, web pages are faster and lighter, which improves both SEO and the user experience of the web or mobile application.
Cloudimage is an exceptionally effective tool for optimizing media, and efficiently resizing images and videos to be lighter and faster for a global audience. It streamlines the process of visually transforming and optimizing your content quickly and easily. By leveraging top-tier Content Delivery Networks, it speeds up the delivery of your content. This enhances the speed and usability of websites and apps on both desktop and mobile, boosting SEO, user engagement, and conversions. Its Visual AI technology intelligently adjusts and refines your visuals, including removing backgrounds and detecting watermarks, while also compressing files automatically.
How does Cloudimage work?
We download and cache: On the first image load, we get your image from your server in our cache. You can optionally use Cloudimage as an image store as well.
We crop, resize, cut, watermark, remove the background, colorize, rotate, and compress your images. Cloudimage converts your images into WebP for even more size reduction.
We lighten the weight of your images by intelligently applying the best compression for the maximum level of byte reduction imperceptible to the human eye.
Your images are delivered at the speed of light anywhere around the world via our multi-CDN architecture.
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I specifically requested an image CDN, and that is precisely what I received, no more, no less. I immediately noticed a faster page load time, and installation was simple and painless. The support service is quick to respond and also very informative.
Based on our record, iWantHue seems to be more popular. It has been mentiond 12 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.
My go-to color links (general color theory stuff): - https://paletton.com/ palettes with color theory and can generate the entire scheme. - https://medialab.github.io/iwanthue/ I want hue, uses k-means to separate out colors, great for graphs and getting contrast on those. - Source: Hacker News / 4 months ago
Using something like https://medialab.github.io/iwanthue/ is also a good idea for generating distinct and colourblind-friendly colour palettes. Source: 11 months ago
I used a dizzying array of tools to pull this off. Labor-sheds for Regional Analysis by Chris Fowler, Penn State Univ., was the source of the city-regions map data and central cities used for calculation. JPL Horizons provided the sunrise data. QGIS did most of the heavy lifting, with assists by LibreOffice Calc, Notepad++, and Mapshaper. Iwanthue gave me the color scheme. The compositing was done in Inkscape, and... Source: about 2 years ago
I quite like the color palettes generated by I want hue. I'd like to write an R wrapper around the js library for this tool. Source: about 2 years ago
I also often use some colour palette tools, like iWantHue. Source: about 2 years ago
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