What does PaperLens do and what problem does it solve?
PaperLens is an AI-powered search engine for academic research that provides evidence-backed answers grounded in millions of peer-reviewed papers from databases like arXiv and PubMed Central. It solves the problem of efficiently finding and understanding scientific literature, offering research answers grounded in real papers to replace the need to manually search and read through numerous open tabs.
What features, surfaces, or integrations does PaperLens offer?
PaperLens offers features such as AI research answers grounded in papers, a research copilot for follow-up questions and paper deep-dives, the ability to save papers and generate structured wiki summaries, and powerful filtering by date, quality, and source. It integrates with major academic databases like arXiv, Crossref, and Semantic Scholar.
How is PaperLens priced or packaged?
PaperLens offers simple, transparent pricing with monthly and yearly plans (a 33% saving for yearly). The Starter plan is $8 per month (billed yearly) or $15 monthly, and includes features like AI research answers, paper saving, 500 searches, semantic search, and smart filtering. The Pro plan, most popular for power users and teams, is $20 per month (billed yearly) or $50 monthly, and includes unlimited searches, early access to features, and priority support.
What is PaperLens used for and in what situations?
PaperLens is used for accelerating academic research by allowing users to efficiently explore and search millions of peer-reviewed papers. It is used in situations where a researcher needs to find, understand, and organize scientific literature quickly, such as conducting a literature review, getting trustworthy research answers, or breaking down complex papers into structured summaries.
Who is PaperLens designed for?
PaperLens is designed for researchers, including individual researchers and teams. The product offers features and pricing plans suited for both individual researchers needing a starter tool and power users or teams requiring unlimited searches and priority support.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.