From PDFs to Insights: How Intelligent Data Extraction Transforms Unstructured Data
In today’s data-driven enterprise, unstructured data —PDFs, scanned contracts, handwritten forms, or emails—makes up over 80% of all business information . And yet, much of it remains locked in unusable formats, buried across content silos. To unlock this hidden value, CIOs and compliance leaders are turning to Intelligent Data Extraction —a core capability of Document AI . What Is Intelligent Data Extraction? Intelligent data extraction uses artificial intelligence (AI), natural language processing (NLP), and computer vision to identify and extract relevant information from unstructured content —such as scanned PDFs, images, handwritten notes, or lengthy text files. It goes beyond OCR by understanding semantic context , identifying entities (like invoice numbers, contract dates, or payment terms), and converting them into structured data. Why It Matters for Enterprises Here’s why enterprises are prioritizing intelligent extraction as a critical component of their unstructu...