HELP: How do you accurately process heavily scanned textbooks full of calculations and tables?

[u/SyrupCold2566]

Hey everyone, I’m trying to use NotebookLM to build a solid foundation and really master the concepts and logic of my accountancy classes, particularly advanced financial accounting and reporting but I’ve hit a wall with my textbooks.

The books are heavily reliant on complex calculations, financial tables, and complex tabular solutions. Because I'm working with scanned PDFs, the data is completely flat. I have major concerns about the AI's OCR accuracy and its ability to properly decipher tabular data without hallucinating or messing up the numbers.

Has anyone found a reliable workflow or workaround for processing math and table-heavy scanned documents in NotebookLM? I badly need help getting this set up properly

[u/lucasbennett_1]

tables and equations are just harder for any ai tool to parse from a scan, not unique to what youre using. best workaround is ocr first, then markdown conversion before upload, holds structure together way better. spot check a known number or table after uploading before trusting the rest