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Extract abstracts, methods, conclusions; GB/T, APA, MLA citations; private notes on arXiv, IEEE, Elsevier, Scholar. Scholar Paper Reader is a focused reading companion for researchers. It works only on arXiv, IEEE Xplore, Elsevier ScienceDirect, and Google Scholar. It does not request permission to read other websites. Why install it Open a paper, click Extract Paper, and get the title, authors, abstract, research methods, and core conclusions in a side panel. Copy GB/T 7714, APA, or MLA citations. Save private notes in this browser only. Main features • One-click extraction of abstract, methods, and conclusions from the page you already opened • Citations in GB/T 7714, APA 7th, and MLA 9th • Local annotations stored in chrome.storage.local — never uploaded to a developer server • Built-in English FAQ panel • Free plan: 5 AI summaries per day • Pro plan: unlimited AI summaries via ExtensionPay and Stripe (cancel anytime) How summaries work If this landing page has no Methods or Conclusions section (for example an arXiv abstract page or a Google Scholar search result), the extension says so and asks you to open the HTML or PDF full text. It does not invent those sections or scrape recommendation sidebars. Without an OpenAI API key, summaries are produced on-device from the extracted text. You may optionally save your own key in Settings; that key stays on your device and is sent only to api.openai.com after you grant optional permission. Privacy There is no application backend. Paper notes, daily usage counts, and any API key remain on your computer. Payments are handled by ExtensionPay and Stripe. You can delete local data from Settings. Always proofread generated citations before submitting a manuscript.
Aug 26, 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.