What a Non-Developer Considered While Automating Signature Checks Across 400 Pages

A business manager with no coding background automated a monthly task of checking more than 400 pages of scanned inspection binders for missing signatures and stamps.

Because the PDFs were image-only and external OCR tools were blocked for security reasons, the solution shifted to image-based detection.

Using PyMuPDF, NumPy, and Pillow, the pages were rendered to images and signature areas were scored by ink density, with extra signals for cover detection and confirmation.

Ambiguous cases were routed back to humans, showing that repetitive checks can still be automated in locked-down environments with the right criteria.