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pix2code

Generating Code from a Graphical User Interface Screenshot

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Abstract

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.

Citation

@article{beltramelli2017,
  title={pix2code: Generating Code from a Graphical User Interface Screenshot},
  author={Beltramelli, Tony},
  journal={arXiv preprint arXiv:1705.07962},
  year={2017}
}

Current status

To foster future research, our datasets consisting of both GUI screenshots and associated source code for three different platforms (ios, android, web-based) will be made freely available on this repository later this year. Stay tuned!