Explore the research and technology that makes Uizard possible.

Research

The scientific contributions listed on this page showcase some of the technology powering Uizard. The presented methods, experiments, and results are published for educational purposes only and do not reflect the customer-ready version of our technology.

We share the science, but we keep some little secrets. 😉

Code2Pix: Deep Learning Compiler for Graphical User Interfaces
June 5 2018

Code2Pix: Deep Learning Compiler for Graphical User Interfaces

This work is a collaboration between Uizard and UC Berkeley’s Statistics Undergraduate Student Association. We provide a deep learning solution to the problem of generating Graphical User Interfaces (GUIs) from a textual description. Additionally, intermediary work hints at the possibility of a single textual to GUI renderer that works across multiple platforms.
Teaching Machines to Understand User Interfaces
November 30 2017

Teaching Machines to Understand User Interfaces

This entry in our research page is more of a blog post rather than an actual research work; the goal being to share what we are working on and why we are doing it. We are essentially teaching machines to understand graphical user interfaces the same way humans do in order to propose a more efficient workflow for building apps and websites.
pix2code: Generating Code from a Graphical User Interface Screenshot
May 23 2017

pix2code: Generating Code from a Graphical User Interface Screenshot

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.
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