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Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites and mobile applications. In this paper, we show that Deep Learning techniques can be leveraged to automatically generate code given a graphical user interface screenshot as input. Our model is able to generate code targeting three different platforms (i.e. iOS, Android and web-based technologies) from a single input image with over 77% of accuracy.

The process of implementing client-side software based on a Graphical User Interface (GUI) mockup created by a designer is the responsibility of developers. Implementing GUI code is, however, time-consuming and prevent developers from dedicating the majority of their time implementing the actual features and logic of the software they are building. Moreover, the computer languages used to implement such GUIs are specific to each target platform; thus resulting in tedious and repetitive work when the software being built is expected to run on multiple platforms using native technologies.

Valéry Girou

D.A. / DIGITAL / WEB / PRINT / Co-fondateur du site / Consultant & Formateur Digital / Web / Print

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