NNScholar

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Introduction:
An AI workspace for literature reviews, research evidence, and academic writing
Added on:
Sep 24 2026
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NNScholar Product Information

What is NNScholar?

NNScholar is an AI research workspace for literature discovery, PDF reading, evidence tracking, academic writing, and submission preparation. It brings papers, notes, conversations, evidence, tasks, and drafts together in research projects. Users can search scholarly sources, import references, screen papers with AI, chat with PDFs, trace claims to sources, and use research agents and academic skills to advance their work. WebUse is available in a browser, while the website describes Desktop as an option for long-running research projects; its pricing page notes that macOS and Windows downloads are currently unavailable.

How to use NNScholar?

Start in WebUse by entering a research topic, question, DOI, PMID, or arXiv identifier. Search and screen papers, then save relevant sources to a project. Import or read PDFs to translate, annotate, and ask questions grounded in their text. Organize claims, evidence, risks, and decisions on the Evidence Board, and use research agents or academic skills to help with tasks such as outlining, citation checks, drafting, and submission preparation.

NNScholar's Core Features

Multi-source scholarly search and AI paper screening

Research projects that connect sources, notes, conversations, tasks, and outputs

PDF chat, translation, annotation, and cross-document question answering

Evidence boards linking claims to sources, confidence, risks, and decisions

Citation tracing through references, related papers, and topic updates

AI research agents for organizing evidence, checking sources, and advancing drafts

Academic skills for research planning, writing, figures, journal selection, and reviewer responses

NNScholar's Use Cases

#1

Find and screen papers for a literature review, then save useful sources in a project

#2

Compare methods and conclusions across several academic PDFs

#3

Check whether a manuscript claim is supported by evidence and identify citation risks

#4

Draft an outline or paper section using evidence collected in a research project

#5

Prepare figures, journal submissions, or responses to reviewer comments

FAQ from NNScholar

What is NNScholar?

How can I search for papers?

Can NNScholar answer questions about PDFs?

How does NNScholar help verify evidence and citations?

Can I use NNScholar in a browser?

How do NNScholar plans work?

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NNScholar Pricing

Intro Month

¥9.9 one-time

1,000 credits with 40-day rolling validity; available once per account. Includes AI screening, chat, PDF chat, and subscription digests.

Lite Monthly

¥39 per 40 days

1,500 credits granted every 40 days, with 40-day rolling validity. For light personal research and low-frequency PDF or translation tasks.

Pro Monthly

¥79 per 40 days

3,500 credits granted every 40 days, with 40-day rolling validity. Includes access to Base, Auto, and Pro model tiers.

Plus Monthly

¥159 per 40 days

8,000 credits granted every 40 days, with 40-day rolling validity.

Max Monthly

¥459 per 40 days

30,000 credits granted every 40 days, with 40-day rolling validity, higher task budgets, heavier agent workflows, and priority queue for batch research scenarios.

Analytic of NNScholar

NNScholar Website Traffic Analysis

Visit Over Time

Monthly Visits
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Avg.Visit Duration
00:00:00
Page per Visit
1.12
Bounce Rate
34.11%
Jun 2026 - Aug 2026 All Traffic

Traffic Sources

Direct
28.59%
SearchOrganic
24.89%
Referrals
11.92%
DisplayAds
10.60%
Affiliate
7.44%
Mail
5.42%
SocialOrganic
4.90%
SearchPaid
2.65%
SocialPaid
1.95%
GenAi
1.63%
Jun 2026 - Aug 2026 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
科研工作台
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academic ai workflows
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nvshencongshu
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nsrasing
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