Layout Detector FAQs

Question 1

What is Layout Detector?

Accepted Answer

Layout Detector is an MCP server that uses computer vision (OpenCV) to analyze webpage screenshots, extracting precise layout details, asset locations, and spatial relationships, enabling AI assistants to accurately rebuild UIs with semantic structure.

Question 2

How does Layout Detector help AI assistants in webpage reconstruction?

Accepted Answer

It addresses the limitation of AI assistants being unable to extract pixel-perfect layout data from screenshots. By providing structured information on element positions, relationships, and detected patterns, it facilitates accurate and semantic webpage rebuilds.

Question 3

What specific layout details can Layout Detector identify?

Accepted Answer

It can locate known image assets with pixel-perfect coordinates, analyze spatial relationships (angles, distances, relative positions), detect common layout patterns (Radial, Grid, Stacked, Sidebar, Freeform), and retrieve basic screenshot dimensions.

Question 4

What image formats are supported for analysis?

Accepted Answer

Layout Detector supports a wide range of image formats including PNG, JPEG, GIF (using the first frame), WebP, and BMP for screenshot and asset analysis.

Layout Detector

Layout Detector

Key Features

Use Cases

Key Features

Use Cases