img-grid

To measure column boundaries and row spans in a screenshot or scanned form, you can overlay a numbered grid on the image. This adds visible vertical and horizontal guides with line numbers for precise counting and proportional spacing analysis.

Analyzing image layouts for template extraction involves overlaying a numbered grid to compare boundaries and derive a consistent base grid. This helps identify uneven columns or multiple table regions before recreating them as structured templates.

Yes, you can use Python with Pillow to render labeled guides and apply a numbered grid overlay to images. It supports configurable column and row counts to measure layout proportions and saves an annotated output image.

Yes, applying a grid overlay works for wireframes and mockups with uneven columns. By adding numbered guides, you can inspect column and row proportions directly, making it easier to compare boundaries and derive a consistent base grid.

You can configure column and row counts by specifying your desired numbers when applying the layout grid. The tool then renders labeled vertical and horizontal guides according to those settings and saves the annotated output image.

An image grid overlay provides a static, visual reference for measuring document layouts but does not automatically extract structural data. You must manually count the column boundaries and row spans from the annotated output image to reproduce the template.