Document processing & intelligent data capture

Intelligent document processing turns invoices, forms, contracts, emails and other semi-structured files into validated data that can move through a business system. OCR is only one step. A production workflow also classifies the document, extracts the right fields, applies business rules, checks confidence and sends uncertain cases to a person.

SME projects succeed when document variation is understood before a model is chosen. Volume, scan quality, layouts, handwriting, tables, duplicates and matching rules all affect accuracy and cost. The important metric is not a headline extraction percentage; it is the proportion of documents that can complete safely without rework, plus the time needed for exceptions.

The articles here explain architecture, cost, testing, invoice handling and human validation. Start with a representative sample rather than perfect examples, define what a valid output looks like, and measure field-level errors that matter to the business. Good automation makes the exception queue smaller and clearer instead of hiding uncertainty.