Cloudinary Blog

Google Analytics Video Tracking Made Simple

Most web analytics only look at page interactions. But what happens when the major content on your page is a video. You want to know when and how long your users are interacting with your media, when they paused to take a closer look at your media content and when they skipped some content because it wasn’t relevant to them. These - along with a lot of other reasons - are why you should not only analyze open/visits rates, but also drill down in the media content.

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Give your Mobile App a Boost: Image Upload Preprocessing

As a mobile developer, enabling users to upload images and share them with other users is a very common requirement. When developing those capabilities, we need to take into account that most users won't think twice about uploading the massive images that their high-resolution mobile cameras capture. Those huge files are not only overkill for on-screen display, but can also cause significant slow downs in upload and delivery times. And of course those same users wouldn't think twice about complaining or abandoning our app if their overall user experience wasn't smooth and fast.

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Cloudinary Helps Hinge Keep Modern Romance Real

To create a profile, Hinge users initially had to connect their Facebook and/or Instagram accounts to the app, which would import images to the users’ Hinge profiles. Hinge stored those images with a URL that expired after two months, unless the user logged into the app regularly. This aspect of the app was frustrating for users because the photos would become inaccessible for others to view.

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Building a Smart AI Image Search Tool Using React Part 2

In our first article, we built a part of the front-end of our image search tool with the focus mainly on the parent App.js stateful component.

In this article - part two of a series - we will continue developing a Smart Search App, in which users can search for content in an image, not just the description. The app is built with React for UI interaction, Cloudinary for image upload and management and Algolia for search.

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Engineering Better Google Mobile Search Ranking Through Image Optimization

Search ranking algorithms utilize various signals to determine how websites rank against each other on the internet either via desktop or mobile searches. One such signal is Site speed. In 2010, Google introduced Site speed as a signal in their search ranking algorithms. However, this only applied to web search ranking. Starting in July 2018, site speed will be a ranking factor of mobile searches. This change is another signal that developers must wake up and focus on improving the performance of their applications, since speed and load time affects a user’s experience of your page.

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Building a Smart AI Image Search Tool Using React Part 1

What if we could create a search service for images? Type in a word and get images with titles or descriptions matching our search. Better yet, what if we could create a search service for images but rather than matching just titles and image description, we can search for something in an image, regardless of the given image title or description. For example, find one with a dog in it, or those that may have a street lamp or a bus (more like an image search tool).

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