arxiv:1705.07962

pix2code: Generating Code from a Graphical User Interface Screenshot

Published on May 22, 2017

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Abstract

Deep learning models can automatically generate code from graphical user interface screenshots with high accuracy across multiple platforms.

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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 methods can be leveraged to train a model end-to-end to automatically generate code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).

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