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ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents

Yilei Jiang1*, Yaozhi Zheng1*, Yuxuan Wan2*, Jiaming Han1, Qunzhong Wang1,
Michael R. Lyu2, Xiangyu Yue1✉

1CUHK MMLab, 2CUHK ARISE Lab

*Equal contributionCorresponding author

 

Demo Videos

A showcase of how ScreenCoder transforms UI screenshots into structured, editable HTML/CSS code using a modular multi-agent framework.

Youtube Page

https://github.com/user-attachments/assets/5d4c0808-76b8-4eb3-b333-79d0ac690189

Instagram Page

https://github.com/user-attachments/assets/9819d559-863e-4126-8506-1eccaa806df0

Design Draftallow customized modifications!

https://github.com/user-attachments/assets/d2f26583-4649-4b6d-8072-b11cd1025f4b

Qualitative Comparisons

We present qualitative examples to illustrate the improvements achieved by our method over existing approaches. The examples below compare the output of a baseline method with ours on the same input.

Baseline or Other Method

Other Method Output

Our Method

Our Method Output

As shown above, our method produces results that are more accurate, visually aligned, and semantically faithful to the original design.

Demo

  • Try our huggingface demo at Demo

  • Run the demo locally (download from huggingface space):

    python app.py
    

Project Structure

  • main.py: The main script to generate final HTML code for a single screenshot.
  • UIED/: Contains the UIED (UI Element Detection) engine for analyzing screenshots and detecting components.
    • run_single.py: Python script to run UI component detection on a single image.
  • html_generator.py: Takes the detected component data and generates a complete HTML layout with generated code for each module.
  • image_replacer.py: A script to replace placeholder divs in the final HTML with actual cropped images.
  • mapping.py: Maps the detected UIED components to logical page regions.
  • requirements.txt: Lists all the necessary Python dependencies for the project.
  • doubao_api.txt: API key file for the Doubao model (should be kept private and is included in .gitignore).

Setup and Installation

  1. Clone the repository:

    git clone https://github.com/JimmyZhengyz/screencoder.git
    cd screencoder
    
  2. Create a virtual environment:

    python3 -m venv .venv
    source .venv/bin/activate
    
  3. Install dependencies:

    pip install -r requirements.txt
    
  4. Set up API Key:

    • Create a file named doubao_api.txt in the root directory.
    • Paste your Doubao API key into this file.

Usage

The typical workflow is a multi-step process as follows:

  1. Initial Generation with Placeholders: Run the Python script to generate the initial HTML code for a given screenshot.

    • Block Detection:
      python block_parsor.py
      
    • Generation with Placeholders (Gray Images Blocks):
      python html_generator.py
      
  2. Final HTML Code: Run the python script to generate final HTML code with copped images from the original screenshot.

    • Placeholder Detection:
      python image_box_detection.py
      
    • UI Element Detection:
      python UIED/run_single.py
      
    • Mapping Alignment Between Placeholders and UI Elements:
      python mapping.py
      
    • Placeholder Replacement:
      python image_replacer.py
      
  3. Simple Run: Run the python script to generate the final HTML code:

    python main.py
    

Acknowledgements

This project builds upon several outstanding open-source efforts. We would like to thank the authors and contributors of the following projects: UIED, DCGen, Design2Code