Precise conversions are achieved through ScreenCoder's modular multi-intelligence framework:
- Visual Recognition ModulePNG/JPG screenshots parsed using Visual-Linguistic Modeling (VLM), detecting element boundaries with an accuracy of 0.5px.
- Layout planning module: Automatic generation of BEM-compliant HTML structures, preserving original design spacing and positioning
- Code Generation Module: output responsive CSS code with detailed annotations to support media queries
Key Operations:
- Ensure input image resolution ≥1080P
- Setting in html_generator.py
pixel_perfect=Trueparameters - Fine-tuning the final 5% with Chrome Developer Tools
This answer comes from the articleScreenCoder: A tool to convert UI screenshots into editable HTML/CSS codeThe































