Technical realization of a multimodal input system
RapidNative's AI engine hasMultimodal input processing capabilityThe program supports three mainstream input methods:
- Text description conversion: Users generate the corresponding UI through natural language (e.g., "create an e-commerce homepage with tab navigation"), and the system uses semantic parsing technology to recognize the key components (navigation bar, product cards, etc.) and their associated attributes.
- Design Draft Recognition: After uploading the Figma/Sketch screenshot, go through thecomputer vision algorithmIdentify layout structure, color system and font hierarchy, convert to Flexbox layout code for React Native
- Hand-drawn sketch conversion: Recognize the basic component relationships of sketches based on CNN convolutional neural networks, and automatically supplement UI details that conform to Material Design specifications.
Typical use cases include: product managers generate MVP prototypes with a 5-minute description of requirements, designers upload Figma designs to get runnable code, and developers quickly validate UI ideas with sketches. The AI is maintained during the conversion processPixel-level reduction of styles and layoutsThe error rate is controlled within 3%.
This answer comes from the articleRapidNative: generating production-ready React Native mobile apps with AI promptsThe
May not be reproduced without permission:AI productivity tools " RapidNative's AI-prompted conversion system automates the generation of design drafts to code.
