The overnight success of the photo editing app, Prisma, that allows you to transform your bland selfies into works of famous art is now adding a very important and much-needed feature to its app. In order to convert your selfies into art, the app previously sent and processed the pictures on its own servers. But, it would no longer be necessary as Prisma is now debuting offline support on its iOS application.
Commenting on the same, the company adds,
We have managed to implement neural networks to smartphones, which means users will no longer need an internet connection to turn their photos into art pieces.
As rightly said above, you now wouldn’t require an Internet connection or wait for the overloaded servers to process your photos. Using the updated processing algorithms, you can make your bust look like Van Gogh’s art piece with ease while consuming less time. According to the company, the transformation process can take upto six to seven seconds to complete on the iPhone 6s and a maybe a bit longer on the iPhone 6.
Prisma also believes that the introduction of offline support will free up some valuable server usage, allowing the team to implement the tech on short videos, in a later release. Prisma Labs co-founder and CEO Alexey Moiseenkov says,
Now that we’ve implemented neural networks right to the smartphones, we have enough servers capacity to run full videos on them in the near future.
In addition this, Prisma also announced its first philanthropic filter called ‘Love’. In partnership with crowd-funding app Elbi, the company is giving users who transform their images using the Love filter the option to donate $1 to charity. The first charity that Elbi is working with is called Post Pals — a support charity for children with serious illness.
Since its launch last month, Prism has been downloaded over 50 million times and is currently being used by 4 million people on the daily. The initial release would make half(about 16) of the Prisma filters available offline, but the company promises to add more in the ‘near future’. There is currently no update on when the same functionalities will be ported over to Android.
