Cloudinary Blog

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 an application that allows users to upload their own photos, it can be very useful to be able to organize these photos according to their content. This will allow you to categorize the content for displaying to all your users and make your image library searchable. Furthermore, you can also learn more about your users according to the content they upload and find different trends of what people care about. Other added benefits can also include the ability to display matching content to your users according to their interests or even match them with other users that share similar interests.

Many social networks, websites and messaging applications allow users to upload a wide variety of media files, and although the majority of files are in the form of images and video clips, a significant minority are audio files. When the website or application subsequently needs to display a thumbnail that describes the uploaded content, images can be cropped and resized down to scale, and a single frame from a video clip can be converted to an image and then also cropped and resized down to scale.

Various factors can have an effect on the visual quality of photos captured by a wide variety of digital cameras. Technical limitations of cameras, coupled with changing conditions in which users take photos, results in a wide range of visual quality. Camera-related limitations arise from a combination of poor optics, noisy sensors, and the modest capabilities of mobile camera phones that are used to take photos in conditions that range from bright daylight to indoor scenes with incandescent light or even dark night scenes.

Social networking sites allow users to upload images or other types of files that are immediately available to other users via news feeds or notifications. In some cases, attackers can directly spread infected files, but more commonly, they leverage the viral effect and the fact that users are simply unaware that their files are infected through sharing and collaborating with others. As a site owner or application developer, it is your responsibility to protect users and prevent these situations from occurring. Fortunately, Cloudinary makes this easier with its Metascan add-on.

Update - December 2015: The add-on described in this post is no longer available since ReKognition terminated their services. However, all features described here are still available via a different and even better add-on: Advanced Facial Attributes Detection

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.

Update - December 2015: The add-on described in this post is no longer available since ReKognition terminated their services. However, all features described here are still available via a different and even better add-on by Imagga. See Automatic image categorization and tagging with Imagga

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.

If your web or mobile application involves user-generated content, you may encounter users who upload inappropriate photos or images to your application. These could be images which offend other users - adult content, violent photos, etc. - or images which cause your site to violate laws or regulations.