Mastering the Messy: Engineering Reliable OCR for Healthcare Data

Medical data extraction is notoriously difficult due to inconsistent formats like scanned faxes and rasterized PDFs. This project demonstrates how a multi-layered OCR pipeline can significantly improve data reliability, which is crucial for downstream AI applications like patient-friendly report generation.