Customer Stories


Pixide is a global photo contest app that allows amateur photographers to showcase and compete with their photos.

Software Services and Apps, Mobile Apps
Use Case
Organize and Curate


photographs uploaded to Pixide’s app


With user-generated content playing a large role in their app’s game mechanics, Pixide needed a solution that would provide a highly-scalable, quick-to-implement system for automatically categorizing user-generated images to enhance the user experience.


In the Pixide app, photographers are encouraged to share their pictures and rate others’ submissions. The goal of the app’s picture rating algorithm is to remove the “popularity contest” element that exists on other social networks (e.g. celebrities getting the most “likes” even though their photos may not be great). This is achieved by directly comparing a series of photos side-by-side to surface the best one. By creating a purely skill-based competition on who can take the best shot, Pixide is able to build a stronger, more engaged online community that recognizes photographers for their work.



In order to create a fair competition comparing apples to apples, Pixide used Clarifai’s computer vision technology to automatically categorize photos so they could be grouped by similar content and surfaced to app users for comparison and rating.


Using Clarifai’s computer vision product, Pixide was able to create a “sticky” gamified experience based on the ability for the user to directly compare photos of similar subject matter and choose the best one. Once a photographer uploads a photo to the platform, Clarifai’s API automatically recommends relevant and accurate categories and tags to the user.



With all user-generated content automatically categorized through Clarifai’s API, Pixide is then able to pair images of similar subject matter and surface them to users to vote on through the slick contest interface. This ensures that the rating mechanics enable users to discover the “best” photos of the community and keep them coming back for more.


Pixide’s CEO and Co-Founder, Stefano Giacone, tested computer vision APIs like Imagga, Microsoft Computer Vision API, and Google Cloud Vision API before deciding that Clarifai offered the best possible solution for launching his mobile app. He selected Clarifai based on its superior accuracy, customer support, easy-to-follow documentation and starters, and multi-language support. With a product team of six people, Stefano was able to integrate Clarifai in just a couple of days and take Pixide from concept to production rollout in nine months.