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The homepage states that getting started requires no credit card, which points to a free entry point, though no trial length or usage limits are published on the site.
Learn moreAI literature review assistant for reading papers faster and deeper

Enago Read is an AI research assistant for literature review, combining paper summaries, key insights, related-paper discovery from a 200 million plus document database, and a real-time copilot for asking questions about the literature you are reading.
Enago Read (formerly RAxter) is a research workspace built around a single promise: get through the literature faster without losing depth. The site positions it as an AI-powered assistant for literature review, and the feature set matches that framing. Papers are condensed into high-impact summaries so you can triage a reading list before committing hours to it, while a key insights layer pulls out the core ideas of a paper that would otherwise take a careful second pass to surface. The discovery side runs on a database the site describes as 200 million plus documents, drawn from repositories including PubMed, OpenAlex, Crossref, CORE, DOAJ, PubMed Central and patent offices such as EPO and USPTO. From any paper you are reading, the related-papers feature suggests connected literature instead of leaving you to guess at the next search string. A real-time AI copilot sits on top of all this: you ask questions about the paper in front of you and get answers aimed at making dense studies legible. The combination means a research session stays in one place rather than spreading across a reference manager, a search engine and a pile of PDFs. Enago Read is aimed squarely at academic researchers, though the split matters. Graduate students starting a literature review get the clearest benefit, since summaries and recommendations lower the cost of learning what a field looks like. PhD candidates and faculty working on longer projects get more from the organisation features: distraction-free reading, highlights, notes, quick reference access and the critique templates mentioned in user testimonials. The site reports use by researchers at more than 400 universities, which is a fair signal of the intended audience. Where it fits is the crowded space between reference managers and general-purpose chat assistants. Reference managers store and cite; Enago Read adds a reading and comprehension layer above the library, plus discovery from repository data rather than a general web index. The privacy stance is explicit: everything added or created is private by default, and the site names MD5 encryption, SSL and HTTPS for data security. Pricing details are not published on the homepage, so check the product before committing a lab budget.
The homepage states that getting started requires no credit card, which points to a free entry point, though no trial length or usage limits are published on the site.
Learn moreDiscovery pulls from external repositories including PubMed, PMC, OpenAlex, Crossref, CORE, DOAJ, Open Citations, Unpaywall, WorldCat, Microsoft Academic, ORCID, ROR, Third Iron and patent sources such as EPO, USPTO, WIPO and IP Australia.
Core features are high-impact summaries, key insights, related-paper discovery from a 200 million plus document database, and a real-time AI copilot for asking questions about papers. Reading tools include a distraction-free mode, highlights, notes and quick reference access, with critique templates noted by users.
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