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AI peer review for research papers. Open any PDF or arXiv paper and get reviewer-style feedback before you submit. Get an honest peer review of your research paper before reviewers see it. review.fun reads your full paper — any discipline — and returns the kind of feedback a busy human reviewer would write: a short summary of the contribution, sharp bullet points on methodology, evidence, and clarity, and a publication decision (Accept / Minor Revision / Major Revision / Reject) calibrated to your target venue. HOW IT WORKS 1. Open any research paper PDF in a browser tab — an arXiv preprint, a journal PDF, or your own draft. 2. Click the extension icon and choose your target venue tier (top-tier, strong, or standard). 3. Get your review in about a minute. The review runs in the background, so you can keep working — reopen the popup whenever you like. WHAT YOU GET • Reviewer-style feedback: specific, critical points — not a generic checklist • A publication decision with justification, calibrated to venue strictness • Summary and significance assessment of your contribution • Works across disciplines: computer science, biology, medicine, economics, social sciences, and more • One-click copy of the full review WHO IT'S FOR • Researchers polishing a manuscript before journal or conference submission • PhD students who want pre-submission feedback without waiting weeks • Authors preparing rebuttals who want a second opinion on their revision • Reading groups screening arXiv preprints PRICING New accounts get 10 free review credits — no credit card needed. After that, reviews cost $1 per credit (1 credit covers 10 pages), with volume discounts. PRIVACY Your paper is uploaded to temporary storage only for the duration of the review and deleted as soon as it completes. We don't keep your papers or your reviews. See https://www.review.fun/privacy for details. Questions? support@review.fun · https://www.review.fun/help
Jul 7, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.