Document parsing

Document parsing extracts key information from unstructured and semi-structured documents, transforming raw data into actionable insights.

Document parsing leverages AI and machine learning (ML) to automatically identify and extract critical data points from diverse document types, including invoices, contracts, and research papers. Tools like Amazon Textract and Google Cloud Document AI utilize optical character recognition (OCR) and natural language processing (NLP) to convert scanned images or PDFs into structured data. This process streamlines operations, reduces manual data entry errors, and accelerates decision-making across various industries, from finance to healthcare. For instance, a financial institution might parse thousands of loan applications daily, extracting applicant names, credit scores, and income details within seconds, a task that would otherwise require extensive human effort and time.

https://aws.amazon.com/blogs/machine-learning/automatically-extract-information-from-documents-using-amazon-textract-and-amazon-comprehend/