DocAnalyzer

docAnalyzer is a source-grounded AI workspace designed for professionals who need to transform document research into deliverable outputs. Unlike simple chat-with-PDF tools, it operates as a multi-step agentic engine that retains context across turns, allowing users to generate, reference, and combine outputs like PDFs, spreadsheets, and charts into new work. The platform addresses the gap between information retrieval and actual deliverables—while embeddings and search are solved problems, converting sources into auditable, citation-backed documents for colleagues, regulators, or clients remains time-consuming work. The tool serves expert practitioners including contract reviewers, researchers, medical professionals, and recruiters who work with large document sets and need verifiable citations. It supports 30+ AI models from multiple providers within a single interface, enabling mid-conversation model switching without losing context. A distinguishing feature is its enforced source grounding: the system runs multiple retrieval rounds to prevent hallucinations, with every cited claim traceable to exact source locations. One notable limitation is that while it handles large document libraries exceeding typical LLM context windows, users must understand its retrieval-based approach differs fundamentally from single-pass LLM processing.