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Screenshot-to-code

16,535
1,559
HTML

Project Description

A neural network that transforms a design mock-up into a static website.

Screenshot-to-code: A neural network that transforms a design mock-up into a static website.

Screenshot-to-code

Convert design mock-ups into static websites using neural networks.

Overview

Screenshot-to-code is an innovative neural network project that automates the process of transforming design mock-ups into static websites. It stands out for its ability to generalize on new design mock-ups with high accuracy, leveraging deep learning to bridge the gap between design and development.

Key Features

  • Converts design images into HTML/CSS code
  • Utilizes a GRU-based model for improved accuracy
  • Offers a Bootstrap version with 97% accuracy and domain-specific token translation

Use Cases

  • Web developers can use Screenshot-to-code to quickly generate code from their designs, speeding up the development process.
  • Designers can implement their mock-ups into functional websites without needing to write code manually.
  • Agencies can streamline their workflow by automating the coding phase after the design phase.

Advantages

  • Reduces the time and effort required to convert designs into code
  • Offers high accuracy with the ability to generalize on new mock-ups
  • Provides a seamless integration between design and development phases

Limitations / Considerations

  • The project is trained on a homogeneous and small dataset, which may affect its performance on more complex layouts.
  • The raw HTML version has potential but is unproven and requires significant GPU resources for training.
  • The model's accuracy and generalization capabilities may vary depending on the complexity and diversity of the input designs.

Similar / Related Projects

  • pix2code: A project that also converts designs into code, but with a different approach and dataset.
  • sketching interfaces: A design approach by Airbnb that inspired some aspects of Screenshot-to-code.
  • im2markup: A project from Harvard that focuses on converting images to HTML, similar in goal but different in implementation.

Basic Information

📊 Project Information

🏷️ Project Topics

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🔗 Related Resource Links

🌐 Related Websites

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

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Project Information

Created on 10/16/2017
Updated on 10/3/2025