What Is Entity Extraction? Definition and Guide
Entity extraction pulls named things — people, dates, amounts, organizations — out of unstructured text and labels each one. A developer's guide to how it works on PDFs.
11 glossary guides.
Entity extraction pulls named things — people, dates, amounts, organizations — out of unstructured text and labels each one. A developer's guide to how it works on PDFs.
Document ingestion is the process of loading, extracting, and preparing documents for downstream processing. A complete guide for developers.
Document intelligence uses AI to understand, classify, and extract structured data from documents. A complete guide for developers.
Layout analysis detects the spatial structure of document pages — columns, headers, tables, and reading order. A complete guide for developers.
OCR (Optical Character Recognition) converts images of text into machine-readable characters. A complete guide for developers.
PDF extraction is the process of pulling text, tables, images, and metadata from PDF files programmatically. A complete guide for developers.
A RAG pipeline (Retrieval-Augmented Generation) combines document retrieval with AI generation for accurate, grounded answers. A complete guide for developers.
Table extraction is the process of detecting and converting tables in documents into structured data. A complete guide for developers.
Text chunking splits documents into appropriately sized segments for embedding, retrieval, and AI processing. A complete guide for developers.
Vector embeddings convert text into numerical representations that capture semantic meaning. A complete guide for developers.
PDF parsing is the process of reading and interpreting the internal structure of PDF files. A complete guide for developers.