Intelligent Document Processing (IDP)
Uses AI to automate data extraction, categorization, and routing from unstructured and semi-structured documents. It goes beyond basic Optical Character Recognition (OCR) by understanding context, significantly reducing manual data entry bottlenecks, and accelerating business workflows.
How IDP Works
An IDP pipeline typically follows four core phases:
Ingestion & Capture
Ingesting documents across various formats (PDFs, images, emails, Word docs).
Classification
Utilizing AI to recognize the document type (e.g., invoice, tax form, ID card).
Extraction & Enrichment
Using AI technologies to accurately pull specific data fields regardless of layout.
Validation & Integration
Validating data and automatically pushing it into downstream systems (like CRM or ERP platforms)
Core Technologies
Generative AI & LLMs
Used for interpreting highly complex, unstructured free-form documents
Computer Vision & OCR
Digitizes text and images
Natural Language Processing (NLP)
Extracts meaning, context, and entities from the text.
Machine Learning (ML)
Improves system accuracy over time based on human feedback.
Common Use Cases
Finance
Automating accounts payable by extracting invoice numbers, line items, and totals for automatic processing
Healthcare
Processing patient intake forms, insurance claims, and medical records.
Compliance
Validating income verification, bank statements, and tax returns for rapid loan/mortgage approvals