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HeroUI Chat's screenshot-to-code feature relies on high-quality visual inputs

2025-08-27 1.8 K
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Highlights of the application of computer vision technology

There is a strong correlation between the effectiveness of the implementation of this feature and the quality of the input:

- Resolution Requirements: It is recommended to upload a clear image of 300dpi or above, fuzzy screenshots will lead to layout recognition errors
- Design Specification Recommendations::
- Use of standard spacing systems (e.g., 8pt grid)
- Avoid excessive decorative elements
- Maintain contrast between text and background
- Format Support: PNG/JPG are supported, but vector formats (e.g. SVG) are converted with higher accuracy 20%

In terms of technical implementation, the platform uses CNN convolutional neural network to analyze visual hierarchical structure and cooperate with OCR technology to extract text content. Tests show that for screenshots that follow the Material Design specification, the component recognition accuracy reaches 92%. Users get the best code generation results when using with the design specification.

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