img-grid-analysis

To overlay a grid on an image for layout design, use this tool to generate a numbered grid overlay that maps column boundaries and proportions. It outputs an annotated image, helping you derive precise table layouts from screenshots or scanned forms.

Yes, you can use Python with Pillow to analyze scanned forms for MXL layout generation. The tool requires Python 3 and Pillow to process your image path and output an annotated image with calculated column boundaries.

The best way to map column widths from a screenshot for template creation is applying a numbered grid overlay. This tool auto-calculates row counts based on aspect ratio and displays labels in margins to preserve content readability.

No, the grid overlay does not overlap with original image content. The tool specifically displays numbered labels in the image margins to preserve the readability of the underlying form or screenshot during layout analysis.

To auto-calculate row counts for images of different sizes, the tool analyzes the image aspect ratio. This mechanism ensures a consistent grid overlay is generated across various input dimensions without manual configuration.

You need an image path and can use optional -c, -r, and -o flags to customize the image grid overlay output. These commands adjust grid parameters and export the final annotated image for layout analysis.