It is common for e-commerce, media, and news sites to remove image backgrounds or make them transparent in order to place the main element of the image on either white or color backgrounds. The final result better integrates an image into a site or specific page’s graphic design. For example, a fashion site that presents clothes or shoes should have the main element of a photo (e.g. shoes) extracted from the original image background, then edited to fit the site’s catalogue design and structure.
Front end developers may want to combine multiple images into a single image. For example, when creating and adding watermarks to stock photos, adding shapes or badges, preparing content for print (e.g. placing a logo on a t-shirt or a mug), adding a caption, and so on.
Multiple images can be combined by overlaying them one on top of the other. However, since it is not a given that both the underlying and overlaying images match each other, let alone your graphic design, you may need to perform further manipulations (e.g. resize, crop, change colors, create a better fit). This is where Cloudinary comes in.
Image URLs tend to appear as a long list of random characters that are not intended for viewers and are not very useful to search engines. Concise and meaningful image file names are better for search engines to extract information about an image, therefore supporting your site's SEO ranking.
Often times, users' uploaded image files do not have descriptive names. This creates a great challenge for developers and site content managers who need to maintain SEO friendly, short, and meaningful URLs. Cloudinary helped tackle this issue by offering users two new features: Root Path URL and Dynamic SEO suffixes. These features can be useful for website as well as web application owners, and are especially recommended for content-heavy sites, like online magazines and news sites.
Photos today can be easily edited by means of resizing, cropping, adjusting the contrast, or changing an image’s format. As a result, new images are created that are similar to the original ones. Websites, web applications and mobile apps that allow user generated content uploads can benefit from identifying similar images.
If your site allows users to upload images, they can also upload various processed or manipulated versions of the same image. As described above, while the versions are not exactly identical, they are quite similar.
Cloudinary offers you a comprehensive online interface that allows you to arrange and manage your image assets. With Cloudinary’s Media Library, you can easily view, upload, moderate, and search through your images. We recently enhanced this web interface with a new feature that allows you to instantly view semantic image data (descriptive image metadata), that is automatically extracted from your images.
Drawing insights from user generated content can be very useful. If you allow users to upload images, you might want to better understand what their images contain. Whether a photo is of a landscape, people, animals, or nightlife, image processing and analysis can assist in further comprehension.
Cloudinary takes care of the entire image management pipeline, from uploading, via dynamic image manipulation, to fast CDN delivery. You can use Cloudinary with our add-on for automatic scene categorization provided by ReKognition, a visual recognition solution developed by Orbe.us.
Many websites and mobile applications support user uploaded images and other files. This requires a service to receive and process the uploads, store them safely, manipulate them to match the website or app’s design, and deliver them to your users. This also requires a user interface within your site or app that allows users to easily upload images.
At Cloudinary, we have been taking care of the entire image management pipeline from the time our service was launched: from an upload API, to cloud storage via our rich set of image manipulation capabilities, to optimized CDN delivery.
Many websites and mobile applications with user generated content allow you to upload all kinds of files. Images, PDFs, and Microsoft Office files, such as Word, Excel, and PowerPoint are all common types of uploads.
Web or mobile developers may want to build applications that allow users to download PDFs, support document previews, or embed image thumbnails of Office files. However, implementing these types of capabilities can be quite a challenging task.
Sites and apps are including more and more high-quality images. The more you can compress images to reduce their size in bytes, the smaller your bandwidth, the faster your site will load and the happier your users will be. But when compressing images, you need to make sure you maintain high visual quality.
Most web sites and mobile apps use the popular JPEG format to display their images and user uploaded photos. The JPEG format has efficient built-in compression that reduces image size while maintaining a reasonable visual quality. But you can reach much better results using more modern image file formats.
Short animated GIF-based video sequences seem to be spreading like wildfire around the web.
Media and news sites display short video segments, social apps allow their users to share animated GIFs with their friends, and while the dated animated GIF format is very useful for this purpose, it has one significant disadvantage - its huge file size.
Animated GIFs are not optimized for captured videos, resulting in large files, heavy bandwidth utilization, slow loading times, and sub-optimal user experience. Also, resizing and manipulating animated GIFs to match the graphic design of your site or app might be a lengthy, cpu-intensive process, as it consists of dozens or even hundreds of frames being manipulated individually.