This project focuses on detecting tabular structures in scanned or photographed forms using Python, extracting each cell accurately, and sending the detected regions to a cloud-based OCR service to recognize handwritten digits and text. The extracted data is then cleaned, structured, and stored in a pandas DataFrame for further processing, analysis, or export (e.g., CSV), enabling reliable digitization of manual logbooks and inspection records.
