Why Use QuickRectify Chat with PDF?
Navigating through dense 100-page commercial lease agreements, annual corporate financial filings, scientific research papers, or software documentation to find a specific clause or data point is like finding a needle in a haystack. Standard keyword searches (Ctrl+F) often fail when the wording uses legal synonyms or complex phrasing. QuickRectify's Chat with PDF transforms static documents into responsive, conversational knowledge bases.
Our system leverages advanced Retrieval-Augmented Generation (RAG) architecture. When you load a PDF, the document text is segmented into semantic chunks and indexed using vector embeddings in temporary memory. When you pose a natural language question (such as 'What are the tenant indemnification obligations?' or 'What were the Q3 operating expenses?'), the retrieval engine identifies the most relevant text segments and synthesizes an authoritative answer.
To eliminate hallucinations and maintain strict legal accuracy, every answer generated by the assistant includes direct page citations and verbatim source excerpts. You can click on citations to inspect the source text immediately on the actual document page.
Security and privacy are engineered into every layer. Extracted text and conversation queries are transmitted across encrypted TLS connections to our AI service solely to generate your answers. Your documents and queries are not used to train public AI models. Query your documents freely, securely, and completely free.