IDP

Intelligent Document Processing (IDP) goes beyond OCR. While OCR extracts text from pixels, IDP uses AI to understand the semantic content and structure of a document. It detects tables, identifies form fields, extracts entities (names, dates, amounts), classifies documents, understands hierarchies, and produces structured output — JSON or database records — ready for downstream processing.

IDP vs OCR

OCR gets you text; IDP adds semantics and structure. A receipt image: OCR gives you the raw text; IDP extracts the itemized purchases, totals, dates, and vendor name as structured data. Modern IDP platforms include LlamaParse, Docling, Reducto, AWS Textract, and Azure Document Intelligence. All combine text extraction with semantic understanding.

Where LLMind sits

LLMind is not an IDP tool. It sits above IDP in the pipeline — caching IDP output inside the file so downstream AI pipelines don't re-run the IDP tool on every request. IDP output (extracted tables, form fields, entities) becomes signed semantic metadata that travels with the file.