English

The PDF chat tool ingests PDF documents and enables natural language querying to retrieve precise answers, summaries, and data points anchored to specific pages or sections. It supports researchers, students, legal teams, and compliance professionals who need fast access to document content without manual scrolling. The core capability is a retrieval-augmented generation pipeline: text is extracted from the PDF (with optional OCR for scanned pages), chunked with page metadata, embedded, and ranked against the user query. The top segments are fed to a language model along with the query to produce a coherent answer and citations. Users can constrain queries to a page range and request a set of sources to accompany the answer. The tool emphasizes accuracy and traceability by returning page references and, when enabled, excerpted context from the source material. Use cases include contract analysis, research paper questioning, technical manual lookup, and policy review. The value lies in reducing manual scanning time, improving reproducibility of findings, and enabling cross-document insight when multiple PDFs are involved. Unique differentiators include per-document citational outputs, OCR support for image-based texts, and a straightforward workflow designed for legal, academic, and research-oriented teams.