AI research assistant that finds papers across arXiv and PubMed, summarizes them, and answers your questions
PaperBrain is an AI research assistant for academic literature. Search by keyword, topic, or question and it surfaces papers from sources like arXiv, PubMed, and Semantic Scholar, with abstracts and direct PDF access. Upload your own PDFs and ask the built-in GPT assistant to explain methods, findings, or unfamiliar terms in plain language. An audio mode turns papers into podcast-style listening. Built for students, researchers, and educators who have more to read than time to read it.
It is an AI tool for finding and understanding academic research papers. You search or upload papers, get summaries, ask a built-in GPT assistant questions about them, and optionally listen to them as audio.
Searches pull from sources including arXiv, PubMed, and Semantic Scholar. Coverage is strongest in STEM and biomedical research and noticeably thinner in niche or non-technical fields.
Yes, PaperBrain is free to use. You can sign up for a free account to start using the platform. But if you want to support the development of the platform, you can also consider subscribing to a paid plan.
Yes. If a paper is not in the connected databases, upload the PDF and use the same summarization and chat features on it. The tool is built around PDFs, so other formats need converting first.
Output quality depends on the underlying model and how the paper is structured. Well-organized papers summarize cleanly; heavy math, notation, and complex tables are where PDF-based tools tend to slip. Verify any technical detail against the original before citing it.
Not really. You get a personal library and collections, but advanced tagging and annotation workflows are limited. Most users pair it with a dedicated reference manager.
It converts a paper into a podcast-style audio version so you can listen instead of read. It suits auditory learners and anyone trying to cover more literature during commutes or other downtime.
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