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What can Faceapp do? The technology behind Faceapp

Faceapp is now viral on all social media like Facebook, Twitter and Instagram. Find out what Faceapp can do and the technology behind the popular app.

Bob Low
July 23, 2019

Despite launching way back in January 2017, Faceapp has suddenly caught a new wind and is now viral on all social media like Facebook, Twitter and Instagram. On instagram alone, there are almost 1 million posts with #faceapp.

 

According to Google trends, interest for the search term “faceapp” peaked on 17th July 2019, worldwide. 

What can Faceapp do?

 

The most popular function on Faceapp is the old age filter, as shown in the image above. What is amazing is that Faceapp predictive technology, it is able to simulate wrinkles, receding hair and sunken skin realistically. This simulation is not only limited to the face area, it includes neck, wrists, hands and chest too!

Besides that Faceapp’s artificial intelligence can also make you young, apply a beard, apply makeup, hair colour, smiles and simple photo editing. 

Try Faceapp with Sketches!

The Corridor Crew tried using Faceapp on a sketch of a human face. As you can see below, Faceapp turned a normal sketch of a human face to an old human sketch with enhanced cheekbones, hair, eyes and accurate wrinkles!



Faceapp accurately predicts how celebrities would age! 


The Sun plugged an image of a young Sir Ian Mckellen (left) into FaceApp to make him look older (centre image). They then compared FaceApp's effort with a photo of him today (right). Faceapp managed to predict Sir Ian McKellen's sunken eyes, hair and wrinkles, striking a close resemblance to his current photo today! 

 

Faceapp uses deep learning

 

Faceapp utilizes deep learning technology to recognize the key features of the human face. With deep learning, image recognition feeds sample data through deep neural networks to learn all the nuances of the human face. Neural networks are a set of algorithms, modelled loosely after the human brain, that are designed to recognize patterns.

 

 

 

The sample data, in the case of FaceApp, are pictures of me, your friends, your family, celebrities, and essentially everyone who has allowed the mobile app to access their camera rolls.

For deep learning, the more sample data that is run through the neural network, the more accurate it gets. This means as more photos that are uploaded to Faceapp, the better it gets at predicting ‘old age’ photos you’re seeing across social media.

We predict that the next phase for Faceapp would be to have the capability to apply their filters for videos, ala Snapchat. However even with the current photo editing functions, you are able to see how you would look like in the not so distant future!



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