Every image is unique and every one of your website visitors is different. In a perfect world, we'd like to adapt each image individually to be "just right" for every user. With "just right" being perfectly cropped, using responsive dimensions, correct encoding settings and optimal quality with the best image format.
As a developer, you want to allow your users to download multiple files in a single click. An easy way to download multiple files and share them is to generate a ZIP file. When images are involved, you may also want to normalize the original images before including them in the ZIP file, by scaling them down to the same maximum resolution or converting them to the same format.
It's great to have the capability to manipulate images on the fly by using dynamic URLs to customize the images to fit the graphic design of your site or mobile application. However, what if you want to manipulate an image depending on a specific image characteristic (like its width or aspect ratio) or its contents (does it contain a face?). What you need is a way to apply a transformation to an image only if a specific condition is met. Take for example a situation where you have allocated space on your page for a user uploaded image with a width and height of 200 pixels. Furthermore, if the image contains a face you would like to zoom in and focus on the face itself, otherwise you would like to fit the entire image into the available space:
Many of the photos displayed on the internet these days are of people. If your website or mobile application displays photos that include people, you will want to make sure that their faces are included in the delivered images when cropping and manipulating them to fit your graphic design and responsive layout. You may even want to further manipulate an image according to the faces present, for example, adding a harlequin mask overlay on all of their eyes, where each mask is adjusted to the correct size and orientation (although not a typical use case, it's a cool example of using advanced facial attribute detection):
Perhaps some of you readers that have been around for a while remember our add-ons launch 2 years back, when we introduced a number of third party image processing products, fully integrated into the Cloudinary image management pipeline. Since then our add-ons marketplace has grown, both in our offerings and in usage. We now have 11 add-ons offering various capabilities and improvements.
If you have a web site or mobile application, chances are you need to deliver a lot of media resources, especially images, to your users. How would you know if all your images were delivered correctly to your users and if there were no broken images displayed on your website? Maybe you build image URLs based on a certain naming convention and you end up with URLs that point to non-existing images, which result in HTTP status errors and broken images? Maybe search engines like Google have indexed the URLs of your images that were subsequently deleted or modified, and these URLs now generate errors when accessed?
Are you delivering your site via HTTPS or considering it? You're not alone - in 2015 the number of sites running on HTTPS almost doubled. Both consumers and web developers are now much more aware of the value of the humble green lock displayed in the address bar. The benefits of using HTTPS extend beyond the customer’s safety, to SEO boosts, and advanced functionalities that are only available when delivering via HTTPS, such as HTTP/2 and WebRTC.
It can be quite a challenge to graphically design a website or mobile application that displays images in very precise shapes and orientations. This can take the form of warping 2D pictures to have a 3D perspective, placing images in precise shapes or overlaying images in specific locations within another image, for example: overlaying an image over the screen of a smartphone.