What It Does

docAnalyzer is a source-grounded AI workspace designed for expert practitioners who need to turn stacks of documents into production-ready deliverables. Unlike typical "chat with PDFs" tools that answer questions and move on, docAnalyzer retains context across every turn and builds compound outputs: spreadsheets, PDFs, charts, diagrams, and ZIP bundles that can be referenced, converted, and combined throughout a session.

Who It's For & The Problem It Solves

Built for professionals handling serious document workloads—contracts, research papers, compliance reviews, RFPs—docAnalyzer addresses the gap between search/retrieval (already solved) and what you actually ship to colleagues, regulators, or clients. The platform is trusted by 320,000+ professionals across 158 countries who need cited memos, audit-ready spreadsheets, and decks that don't require manual rewriting.

Key Features & Capabilities

• Three Purpose-Built Chat Modes: Ask docAnalyzer plans your next step, Focus chat runs deep analysis on defined sources, and Co-work chat refines outputs in a structured canvas editor—all sharing the same engine with knowledge carried between modes
• Multi-Step Agentic Engine: Tools like PDF, XLSX, HTML, charts, and diagrams are first-class outputs generated, referenced, and combined at any conversation turn
• 30+ Models, One Interface: Switch between models from a dozen providers mid-thread without restarting or losing context; if one model is busy, the conversation continues on the next
• Rigorous Citation & Grounding: Every claim links to the exact source page or section; context-adherence controls let you tighten grounding for high-accuracy work or loosen for broader synthesis
• No Context Window Limits: Works across hundreds of long documents through iterative rounds of retrieval and refinement, not constrained by single-model limits
• Format Support: PDFs, Word, PowerPoint, Excel, ODT/ODP, RTF, EPUB, markdown, plain text, HTML, with automatic OCR for scanned pages
• Batch Workflows: Dedicated workflows process each document individually and return structured results per source
• Privacy & Isolation: Customer content never used for training; workspaces isolated at tenant level, artifacts session-scoped

Typical Workflows

Real-world use includes contract review projects (350 agreements analyzed in 4 weeks vs. projected 3 months), résumé-to-job-posting comparison, terms-of-service analysis, medical literature review, and compliance documentation. Outputs compound across turns: a spreadsheet from turn 3 becomes a PDF in turn 7, then part of a ZIP bundle in turn 9.

What Differentiates It

docAnalyzer distinguishes itself through artifact persistence and composability. Outputs don't disappear after generation—they remain addressable and reusable throughout the session. Multi-round grounding runs retrieve-read-refine-recheck cycles before answering, with deterministic history compaction (not LLM re-summarization) maintaining long-session coherence. The platform supports multilingual documents and queries across 40+ OCR languages, with citations linking back to original-language sources.