Medical reports are crucial yet complex documents in healthcare, containing detailed patient information that is often challenging to extract manually, leading to potential errors in diagnosis and treatment. The use of AI-based OCR technology, such as Nanonets, can automate the extraction of data from these reports, transforming unstructured information into a structured format that enhances healthcare analytics and decision-making. Nanonets offers a no-code, customizable platform capable of handling various formats and integrating with healthcare systems to improve efficiency and accuracy in medical document processing. By digitizing and automating data extraction, healthcare organizations can streamline operations, reduce errors, and ultimately enhance patient care and service delivery.