# Paper Digest 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Paper Digest（paperdigest.org）是收錄於 AI 研究工具的 AI 平台，每月產生 9.72萬次造訪，月流量變化量為 -7422（-7.1%）。其主要地理市場為美國（流量佔比 31.4%），並採用免費增值定價模式。依每月流量計算的主要競爭替代方案包括 SciSpace（每月 446.41萬次造訪），Paperguide（每月 37.2萬次造訪），SciSummary（每月 3.89萬次造訪）。 Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | Paper Digest | | 代稱 | paper-digest | | Status | active | | Origin | official | | Maintenance | active | | 官方網域 | paperdigest.org | | 網站網址 | https://www.paperdigest.org | | 分類 | AI 研究工具, AI Writing Assistants, AI 文章摘要工具, AI 副駕駛, AI Reader, AI 論文工具, AI 知識管理 | | 定價模式 | 免費增值 | | 每月造訪次數 | 97,202 | | 月流量變化 | -7,422 | | 月成長率 | -7.1% | | 主要市場 | 美國 | | 市佔率 | 31.4% | | 直接造訪 | 25,788 | | 自然搜尋造訪 | — | | 社群造訪 | — | | 推薦流量造訪 | 5,774 | | 電子郵件造訪 | 1,917 | | 評論分數 | 4.5 | | 收藏數 | 0 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 功能: 網站; 價格: 付費 | | 標籤 | AI 研究平台, 文獻回顧, 論文摘要, 學術寫作, 研究工具, 主題追蹤, 會議摘要, AI 閱讀器, AI 寫作工具, 領域專家, 研究補助, 臨床試驗, 專利發明 | ## 總覽 Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking. ## 價格與方案 Paid ## 關鍵功能與能力 - **Literature review generator:** Reviews the most influential work around a topic and attaches citations to generated sentences, with many literature review examples available. - **Daily paper digests:** Free daily digests of arXiv, PubMed, bioRxiv and clinical trials, sorted by potential impact and delivered by area or keyword. - **Academic reader and writer:** Read PDF articles with instant answers, and write, edit, cite and explain articles with a few clicks. - **Deep research and claim verification:** Generate domain-specific research reports and verify academic claims against supporting evidence. - **Cross-discipline search:** A search console that connects papers, patents, grants, clinical trials, software, venues and domain experts. ## 主要使用情境 - **Get up to speed on a new field (Academic researcher):** Run a literature review to identify the most influential work around a topic and use the daily digests to stay current without browsing every preprint server. - **Read and cite PDFs faster (Graduate student):** Upload PDFs to the academic reader for instant answers, then draft and cite sections in the academic writer. - **Track trends across disciplines (Industry R&D engineer):** Follow topic tracking digests and compare research papers side by side in a literature matrix to spot shifts in a field. - **Digest a whole conference (Conference attendee):** Browse one-sentence summaries of every paper from a conference to decide which talks and posters deserve a deep read. ## 優勢 - Grounds outputs in citations rather than relying purely on large language models - Free daily digests cover arXiv, PubMed, bioRxiv and clinical trials - Long track record since 2018 with millions of users - Covers patents, grants, clinical trials and experts beyond just papers ## 限制 - Best features such as deep research and extensive tracking sit behind paid tiers - Free digests are summaries, not full-text analysis - Interface is text-dense and aimed at researchers rather than casual readers ## 常見問題 ### What can Paper Digest do? It generates literature reviews with citations, reads PDFs and answers questions about them, helps with academic writing, verifies claims, and delivers daily digests of new papers, preprints and clinical trials. ### Is Paper Digest free? Yes, in part. Daily paper digests for arXiv, PubMed, bioRxiv and clinical trials are free, and guests can try services without signing in. Advanced services such as deep research and extensive topic tracking require a paid plan. ### How does Paper Digest avoid hallucinations? For literature reviews the platform states it does not rely on large language models for the core synthesis, and instead provides a citation for every generated sentence. ### Who is Paper Digest for? Researchers, graduate students, R&D teams and analysts who need to track fast-moving literature and produce citation-backed written output. ### Paper Digest 的每月流量與成長趨勢為何？ Paper Digest 目前每月有 9.72萬次造訪，月流量變化為 -7422（成長率 -7.1%）。其主要來源市場為美國（佔比 31.4%），其中包含每月 2.58萬次直接造訪與每月 — 次自然搜尋造訪。 ### Paper Digest 是免費的嗎？其定價模式為何？ Paper Digest 採用免費增值定價模式。Paid 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 Paper Digest 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，Paper Digest 的前五大替代方案為：1. SciSpace（每月 446.41萬次造訪）; 2. Paperguide（每月 37.2萬次造訪）; 3. SciSummary（每月 3.89萬次造訪）; 4. Jenni（每月 149.81萬次造訪）; 5. ResearchPal（每月 5.52萬次造訪）。 ### Paper Digest 支援哪些平台與核心 AI 能力？ Paper Digest 分類於 AI 研究工具, AI Writing Assistants, AI 文章摘要工具, AI 副駕駛，支援以下平台：網站，其核心能力標籤包括：AI 研究平台, 文獻回顧, 論文摘要, 學術寫作, 研究工具, 主題追蹤。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [SciSpace](https://openaitools.app/tw/tool/scispace) | 4,464,111 | 免費增值 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-scispace) | | [Paperguide](https://openaitools.app/tw/tool/paperguide) | 371,972 | 免費增值 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-paperguide) | | [SciSummary](https://openaitools.app/tw/tool/scisummary) | 38,871 | 免費增值、免費試用、付費 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-scisummary) | | [Jenni](https://openaitools.app/tw/tool/jenni) | 1,498,133 | 免費增值 | [比較](https://openaitools.app/tw/compare/jenni-vs-paper-digest) | | [ResearchPal](https://openaitools.app/tw/tool/researchpal) | 55,231 | 免費增值 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-researchpal) | | [Semantic Scholar](https://openaitools.app/tw/tool/semantic-scholar) | 8,198,672 | 免費 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-semantic-scholar) | | [OpenRead](https://openaitools.app/tw/tool/openread) | 27,098 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/openread-vs-paper-digest) | | [Consensus](https://openaitools.app/tw/tool/consensus) | 6,014,388 | 免費增值 | [比較](https://openaitools.app/tw/compare/consensus-vs-paper-digest) | | [ResearchRabbit](https://openaitools.app/tw/tool/researchrabbit) | 831,571 | 免費 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-researchrabbit) | | [WisPaper](https://openaitools.app/tw/tool/wispaper) | 107,817 | 免費增值 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-wispaper) | | [Elicit](https://openaitools.app/tw/tool/elicit) | 1,751,507 | 免費增值 | [比較](https://openaitools.app/tw/compare/elicit-vs-paper-digest) | | [Scholarcy](https://openaitools.app/tw/tool/scholarcy) | 195,058 | 免費增值 | [比較](https://openaitools.app/tw/compare/paper-digest-vs-scholarcy) | --- 來源：https://openaitools.app/tw/tool/paper-digest