Intelligent document processing converts documents into structured data by recognizing text, understanding layout and structure, identifying fields, and extracting values. It handles forms, tables, and semi-structured documents.
It combines optical character recognition with layout models and language understanding.
Alternative Names:
IDP, Document Understanding
Why it Matters?
Layout understanding is what distinguishes this from plain text extraction, and it matters for exactly the documents litigation involves: medical forms where the meaning depends on which box a value sits in, itemized bills where columns must stay aligned, and tables that flatten into unusable text otherwise. Performance degrades sharply on handwriting and poor-quality faxes, which is a real limitation in older medical records.
Frequently Confused with
Related terms
Frequently asked questions
How does this differ from OCR?
Where does it perform poorly?
