What kinds of papers does it handle?
Peer-reviewed journal articles, arXiv and preprint PDFs, conference proceedings, and theses. Two-column flow, equations, and citation numbering are all preserved in the summary structure.
Linnk reads the whole paper — abstract, methods, results, discussion, conclusion — and returns a summary structured the way researchers think about a paper: claims, evidence, limitations, contribution. Cross-language: a Japanese paper in, an English mindmap out.







Linnk Research Paper Summarizer is an AI tool built specifically for academic literature. It reads the whole paper — abstract, methods, results, discussion, and conclusion — and returns a summary structured the way researchers actually read papers: main claim, evidence, limitations, contribution to the field. Output as a paragraph, outline, bulleted brief, or interactive mindmap. Cross-language input means a Japanese paper produces an English mindmap in one step — no translation step needed. Free every month — a monthly allowance lets researchers and analysts summarize papers without paying, and the Linnk browser extension shares the same allowance for web pages. From there, one subscription unlocks unlimited use across every Linnk tool. Used daily by researchers and analysts at Stanford, Anthropic, McKinsey, and the University of Tokyo.
A clickable mindmap of the whole document — collapse and expand branches, jump to source pages. The format Linnk's competitors don't ship.
research-paper-features-desc
Abstracts, methods, results, discussion, and conclusions get separate treatment in the outline view. The summary mirrors how researchers actually evaluate a paper.
A Japanese paper in, an English mindmap out — single shot, no translate-then-summarize round-trip.
Display equations are read in math notation; citation context ("Smith 2023") stays attached to the claim it supports.
Convert each paper into a clickable mindmap; combine 20 paper mindmaps into a comparable view for your lit review.
Every claim links back to the page and paragraph in the source paper — verify before you cite.
A monthly free allowance lets you summarize papers without paying, and the same allowance covers web pages (preprints, blog posts) through the Linnk browser extension.
Peer-reviewed journal articles, arXiv and preprint PDFs, conference proceedings, and theses. Two-column flow, equations, and citation numbering are all preserved in the summary structure.
Yes. Input and output languages are independent — drop in a paper in any of 150+ supported languages and pick the output language separately.
Yes. Display equations are read in math notation; figures and their captions are summarized together; citation numbering is preserved.
The summary is faithful and high-quality, but for any quotation or formal citation we recommend referencing the original-language paper as the canonical source. For internal lit reviews and working notes, the summary is robust enough to use directly.
Yes. AI vision reads each page directly before summarization — no OCR step. Old archives, scanned reprints, and photographed pages all work.
Yes. Every paper opens in a chat-enabled view: ask in any of 150+ languages and get answers grounded in the paper itself, with page-level citations.
Papers are encrypted in transit and at rest, are not used to train models, and are automatically deleted within 48 hours.
Linnk includes a free monthly allowance so researchers and analysts can summarize papers every month without paying — the same allowance covers web pages via the Linnk browser extension. One subscription beyond the allowance covers unlimited use plus every other Linnk tool.