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Document data extraction

81 articles · Page 3

This section gathers articles on pulling structured data out of documents: PDFs, contracts, scans and handwritten pages. It covers how traditional OCR compares with LLM-based and intelligent document processing approaches, where each method breaks down, and how accuracy is measured and often overstated. Readers will find tool comparisons, notes on hidden costs and return on investment, and practical guidance on automating data capture without destabilising existing workflows. Other pieces look at unstructured data processing, alternatives to OCR, risk in black-box systems, and the direction document analysis is heading. Together the articles serve teams choosing, evaluating or troubleshooting extraction technology.