NNScholar Documentation

Public documentation for the NNScholar research workspace, WebUse, and desktop app.

What is NNScholar?

NNScholar is an AI for Science research workspace that brings literature search, PDF downloading and reading, literature databases, AI research agents, manuscript drafting and revision, citation verification, and submission preparation into one long-running research space.

It is not a one-off chat tool. NNScholar is designed to help researchers move from a research question toward verifiable, reusable, and deliverable research work.

Where should I start?

If you enter a protected WebUse or desktop workflow, NNScholar will send you to the main website to sign in and then return you to the relevant workflow.

Documentation Sections

SectionStart here
Getting StartedQuick Start
Desktop AppDesktop Overview
Research WorkflowsResearch Run
Account and CreditsCredits and Plans

Example Demo

If your starting idea is "I want to study coronary CTA imaging markers and prognosis in patients with diabetes," read the docs like this:

  1. Start with First Research Workflow to understand the complete path.
  2. Read Literature to learn search and screening.
  3. Read Library and Paper reading to save PDFs, open PDFs, and ask PDF-grounded questions.
  4. Move to Document Writing for manuscript drafting, revision, format matching, and document review.
  5. Finish with Browser and the Automatic submission assistant described in Chat.

This reads the documentation as one research workflow instead of isolated pages.

Credits and Plans

NNScholar uses a unified credit balance. Free users can start with basic usage; paid plans provide more credits and heavier AI research workflow capacity. After signing in, you can view your plan, credits, payment records, and billing information in account settings.

Need Help?

For account, payment, credit, literature search, or desktop app questions, contact support@nnscholar.ai.