Overlaying text on images is a versatile and effective way in which to spotlight captions, names, copyright watermarks, and such. You can also overlay text over dynamic images (advertisement banners, coupons, greeting cards, business cards) in e-commerce-oriented emails.
- Following Google's shutdown of its legacy Google+ API in March 2019, the Google+ (gplus) option is no longer available.
- Following changes made by Instagram in June 2020, the Instagram (instagram_name) option is no longer available.
Nowadays, users can and often upload various media files to social networks, websites, and messaging apps. Most of those media are images and videos, with a significant number being audio files. Subsequently, to create a thumbnail to depict an image, a site or app would crop and then resize it to scale. To depict a video, they would convert, crop, and resize a single frame from it as a thumbnail.
Every image is unique, so are website visitors. In a perfect world, we would adapt images to be "just right" for all users, i.e., perfectly cropped with responsive dimensions, correct encoding settings, and optimal quality in the most suitable format.
See this example of a photo of a cat:
Short videos of animated GIFs are spreading like wildfire around the web, especially in media and news sites, and people frequently share animated GIFs on social apps. However, because those GIFs are not optimized, their sizes are huge, consuming heavy bandwidth and slowing down page loads. Also, resizing and transforming a large number of animated GIFs, one by one, to match the graphic design of your site or app is a lengthy, CPU-intensive process.
Even though the image format animated GIFs are gaining popularity, their file size is usually large, causing slow loading and incurring high bandwidth costs. Besides, the GIF format is old and not optimized for modern video clips. The developer’s job of effecting fast loading of animated GIFs and delivering optimized images is complex and time-consuming.
Videos in web sites and apps are starting to catch up with images in terms of popularity and they are a constantly growing part of the media strategy for most organizations. This means bigger challenges for developers who need to handle these videos in their web sites and mobile apps. Cloudinary's mission is to solve all developer needs around image and video content management. In this blog post, we are excited to introduce Cloudinary's complete cloud-based video content management solution for developers.
Knowledge is power. And if you allow your users to upload images, you also probably want to better understand what their images contain. Whether a photo is of a building, people, animals, celebrities, or a product, image processing and analysis can assist in further comprehension. The benefits of this knowledge can go beyond "merely" categorizing your content and making your image library searchable: drawing insights from user generated content can be very useful! What better way to learn more about your users than to analyze the images they upload and find out what they care about and then have the ability to display relevant content to them according to their interests or even match them with other users that share similar interests.