Extract v2.5

Extract v2.5 (by LlamaIndex, as LlamaParse/Extract) is an advanced toolset for parsing, extracting, classifying, and indexing highly complex, unstructured documents—including PDFs, Office files, images, tables, handwriting, and charts—into structured, schema-defined outputs. Targeted at enterprises and developers building AI-powered document processing and retrieval workflows, it features agentic OCR, layout-aware semantic understanding, auto-correction loops, and seamless integration for RAG (retrieval-augmented generation) or pipeline automation. It’s designed for high accuracy, scalable deployment, and compliance in data-sensitive industries.