Project Title

pix2code — Automating Code Generation from GUI Screenshots with Deep Learning

Overview

pix2code is an open-source project that leverages deep learning to automatically generate code from a single graphical user interface (GUI) screenshot. This project aims to streamline the process of converting designer-created GUIs into functional code, significantly reducing the manual effort required by developers. It currently supports code generation for iOS, Android, and web-based technologies.

Key Features

Deep learning model trained to generate code from GUI screenshots
Supports iOS, Android, and web-based technologies
Over 77% accuracy in code generation across platforms

Use Cases

Designers and developers can use pix2code to automate the conversion of GUI designs into code, saving time and reducing errors.
Educational purposes, where students can learn about the application of deep learning in code generation.
Research in the field of machine intelligence and front-end development automation.

Advantages

Reduces manual coding effort and potential for human error
Streamlines the development process by bridging the gap between design and code
Provides a foundation for further research and development in automated code generation

Limitations / Considerations

The project is experimental and shared for educational purposes only; it is not intended for real-world application.
The current implementation may not generate code suitable for production environments.
The accuracy and reliability of code generation can vary based on the complexity and quality of the input GUI screenshots.

DeepCoder: A project that uses machine learning to solve programming tasks by searching through possible programs.
GitHub's Code2Code: A tool that uses machine learning to suggest code based on the current code context.
Layout2Code: A project that converts UI layouts into code, similar to pix2code but with a focus on web technologies.

Basic Information

GitHub: https://github.com/tonybeltramelli/pix2code
Stars: 12,041
License: Unknown
Last Commit: 2025-09-17

Requirements:

Keep content concise and practical
Focus on developer needs and real-world applications
Use clear, SEO-friendly language
Avoid marketing fluff, focus on facts and utility
Base analysis on the provided README content and project information

📊 Project Information

Project Name: pix2code
GitHub URL: https://github.com/tonybeltramelli/pix2code
Programming Language: Python
⭐ Stars: 12,041
🍴 Forks: 1,444
📅 Created: 2017-05-24
🔄 Last Updated: 2025-09-17

🏷️ Project Topics

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This article is automatically generated by AI based on GitHub project information and README content analysis

pix2code

Project Description