One desktop workspace for literature review, PDF reading and evidence
NNScholar is an AI research workspace covering the whole academic workflow: start a literature review from a topic, DOI, PMID, arXiv link or research question; search scholarly sources and import references; use AI to screen papers; chat with PDFs with translation and annotation inside the paper's context; trace every argument back to its source; and draft with research agents and academic skills — papers, notes, conversations, evidence, tasks and drafts all live in one project. Runs as a desktop workspace with a WebUse browser mode.
The evidence-tracking design is what makes it research-grade rather than chatbot-grade: claims you can trace to sources survive peer review; vibes don't.
Who it's for: grad students and postdocs managing literature reviews, researchers writing survey papers, and evidence-synthesis teams. Free entry with $7-ish tiers for volume. The decisive test is citation accuracy — have it verify five references you already know cold; scholarly AI that hallucinates a DOI is worse than no assistant, and one that catches itself is worth paying for.
What it is
One desktop workspace for literature review, PDF reading and evidence
Pricing
Freemium
Primary category
Productivity
Source code
Closed source / hosted
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