docAnalyzer

What is docAnalyzer?

docAnalyzer is a source-grounded AI document workspace for working with PDFs and other source files in a more structured way than a standard chat interface. It is designed for practitioners who need to turn source material into deliverables such as cited memos, spreadsheets, reports, and bundles that can be reused across multiple turns.

The product combines retrieval-based document analysis with an agentic workflow that keeps outputs addressable over time. Instead of answering a single question and stopping, docAnalyzer retains context so users can refine outputs, convert them into new formats, and continue building from earlier work without restarting the analysis.

Key Features

• Three chat modes — Ask, Focus, and Co-work provide different interaction styles for planning, deep analysis, and structured refinement.
• Source-grounded analysis — The system retrieves and re-checks information against uploaded sources so answers stay tied to the underlying documents.
• Reusable file outputs — Users can generate downloadable PDFs, spreadsheets, charts, diagrams, HTML files, and bundles as part of the conversation.
• Cross-turn persistence — Outputs remain addressable across turns, so a file created earlier can be reused, converted, or combined later in the workflow.
• Multiple models in one plan — The interface supports 30+ models across multiple providers, with switching during a thread without restarting context.
• Citation tracing — Cited claims can open the exact page or section they came from, which helps users verify answers against the source material.
• Context-adherence controls — Users can tighten grounding for source-bound work or loosen it when they want broader synthesis.

How to Use docAnalyzer

A typical workflow starts by uploading one or more source documents and choosing the mode that matches the task. Ask mode is for planning next steps, Focus mode is for deeper analysis on a defined set of sources, and Co-work mode is for shaping output in a canvas-style editor.

From there, users can ask questions, generate files, inspect citations, and continue refining the work across multiple turns. The same conversation can produce different deliverables over time, such as a spreadsheet first, then a PDF report, then a ZIP bundle that combines both.

Use Cases

• Contract review — Review many agreements for recurring fields, clauses, or obligations and turn the findings into a structured output that can be checked and reused.
• Research synthesis — Compare multiple documents, extract relevant passages, and build a cited summary or report based on the source material.
• Spreadsheet creation from source data — Pull figures or tables from documents into an XLSX file for further analysis or sharing.
• Report packaging — Convert an analysis into a PDF report and combine related files into a downloadable bundle for handoff.
• Document-heavy professional work — Handle tasks like résumé comparison, terms-of-service review, and source-based Q&A where traceable citations matter.

FAQ

Does docAnalyzer only answer questions? No. The source describes it as a workspace, not just a chat box, and it can generate downloadable files that persist across turns.

Can I verify where an answer came from? Yes. The product emphasizes clickable citations that open the exact page or section used for a claim.

Does it work with more than one file? Yes. The source says it can work with multiple large, dense files at once.

Can I switch models during a conversation? Yes. The product says it includes 30+ models under one plan and supports switching mid-thread without losing context.

Is pricing fully described on the page? No. The page mentions a free start with no credit card and a ready session, but it does not provide full pricing details in the provided content.

Alternatives

• Standard AI chat tools — General-purpose chat interfaces are better for simple Q&A, but they are usually less focused on reusable file outputs and multi-step document workflows.
• Document Q&A tools — Some products mainly focus on asking questions about uploaded files; docAnalyzer is positioned more as a workspace for building deliverables from those sources.
• Manual document processing with office software — Traditional tools like spreadsheets, PDF, and presentation software offer full manual control, but they do not provide the same source-grounded extraction and turn-to-turn context.
• Research and review platforms — Adjacent products may help organize sources or summarize documents, but docAnalyzer emphasizes citations, output generation, and iterative refinement in one workspace.