Hybrid solution of step-by-step processing + manual checking
The main challenges of complex UI recognition are (1) visual element overlapping (2) dynamic effect expression (3) responsive layout adaptation.
- A hands-on approach to optimizing recognition accuracy::
- Pre-processing of images: extraction of clear layers using Figma/Photoshop (PNG-24 format recommended)
- Partition Recognition: Split complex designs into Header/Body/Footer for uploading in batches.
- Add comments: add special requirements (e.g. hover effects, breakpoints) in the image description box
- Post-adjustment tips::
- Use the plugin's built-in CSS tweaking tool (shortcut ALT+Z to bring up the visual editor)
- Regenerate unsatisfactory sections individually (right-click on the code segment → Regenerate section)
- Saving success stories to the custom template library (My templates)
It is recommended to use Figma design specification checking plug-ins (e.g. Contrast) in conjunction to correct design problems in advance.
This answer comes from the articleSuperflex: AI Plugin for Fast Conversion of Figma Designs to Front-End CodeThe
May not be reproduced without permission:AI productivity tools " How to overcome the problem of recognizing the accuracy of image-to-code conversion of complex UI components?
