What is Document AI?
TL;DR
AI technology that reads PDFs and documents to summarize, extract data, and answer questions—often paired with RAG to chat with documents.
Document AI: Definition & Explanation
Document AI is the field where AI reads documents—PDFs, Word files, scanned images—to summarize, extract data, answer questions, and classify. It splits a document into AI-readable chunks, uses OCR (optical character recognition) to read text in images, and combines an LLM with retrieval-augmented generation (RAG) to deliver the experience of 'asking questions about a document in natural language.' Chat-with-PDF tools such as ChatPDF, Humata, NotebookLM, and Adobe Acrobat AI apply this technology. Because you can pull out key points or the relevant passage from long papers, contracts, and manuals without reading everything, it greatly reduces the reading burden for researchers, professionals, and businesspeople. A caution: summarization can drop details or misinterpret (hallucination), so verify important decisions against the source page. Also check the upload destination's data-retention policy for confidential documents.