
AI-powered academic writing and citation workspace for researchers

Papernity is an AI-driven platform designed for researchers, academics, and students to streamline the process of writing theses, articles, and managing citations. It integrates over 280 million full-text academic articles from trusted sources like CrossRef, OpenAlex, PubMed, and Semantic Scholar to provide source-grounded writing with verifiable citations. The platform supports section-by-section drafting, citation style formatting, PDF assistance, and academic language personalization, helping users finish their academic work faster and with greater reliability.
Every sentence links to a real academic source with citation and PDF access.
Create thesis or article sections with AI assistance and academic structure.
Ask questions inside PDFs and connect relevant passages to your work.
Supports APA, MLA, Chicago, Harvard, IEEE, and Vancouver citation formats.
Rewrites text to match target language, field terminology, and academic style.
Helps find suitable journals for article submission.
Assists with formatting theses according to academic standards.
Shows exact credit consumption per generation or action.
5,000 credits per month, suitable for starting academic work
15,000 credits per month, full access for academic work
100,000 credits per month for high-volume academic production
One-time purchase of 5,000 credits
One-time purchase of 10,000 credits
Yes. Access to the dashboard and generation tools requires an active paid plan or available purchased credits on your account.
Papernity supports section-by-section thesis and article planning and writing, literature search, PDF library and assistant, thesis-to-article conversion, Journal Finder, academic proofreading, and natural academic language tools.
Papernity uses encryption, access controls, logging, and monitoring to protect data. Uploaded content may be processed by providers needed to deliver the service.
APA, MLA, Chicago, Harvard, IEEE, and Vancouver citation styles are supported.
It analyzes your existing article and sample writing, then rewrites the text around target language, field terminology, and academic style.
Traffic, engagement, sources and keywords are Similarweb-style estimates, refreshed monthly. Verified traffic comes from a connected Google Analytics / Search Console.
No founders named on the site yet. The founder can claim this profile to add themselves.
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