# OpenRead vs Paper Digest

OpenRead は月間 27,098 訪問、前月比成長率 -51.6%、料金体系フリーミアム、有料、料金は要問い合わせを記録しています。Paper Digest は月間 97,202 訪問、成長率 -7.1%、料金体系フリーミアムを記録しています。

| 指標 | [OpenRead](https://openaitools.app/ja/tool/openread) | [Paper Digest](https://openaitools.app/ja/tool/paper-digest) |
| :--- | :--- | :--- |
| ウェブサイト URL | https://www.openread.academy | https://www.paperdigest.org |
| カテゴリ | AIリサーチツール, AI 研究論文ツール, AI PDF 要約ツール, AI 要約ツール | AIリサーチツール, AI Writing Assistants, AI記事要約ツール, AI Copilot |
| 料金モデル | フリーミアム、有料、料金は要問い合わせ | フリーミアム |
| 月間訪問数 | 27,098 | 97,202 |
| 前月比成長率 | -51.6% | -7.1% |
| 主要市場 | インドネシア | アメリカ合衆国 |
| ダイレクト訪問 | 7,067 | 25,788 |
| レビュースコア | 4.3 | 4.5 |
| 保存数 | 7 | 0 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

## OpenRead

OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.

**料金とプラン:** OpenRead uses a freemium model: a free tier for core search and reading, plus a Pro subscription that unlocks higher limits and advanced AI features. Contact the team for institutional or enterprise arrangements.

- **Semantic paper search:** Search a corpus of hundreds of millions of papers by meaning, with new content indexed continuously from thousands of journals.
- **Paper Q&A and Compare:** Ask questions of any paper and place multiple studies side by side to spot agreements, contradictions and the bigger picture.
- **Related paper graph:** A visual graph maps how papers and concepts connect, helping you find adjacent work you would otherwise miss.
- **Uploads, notes and workspace:** Upload your own PDFs, capture reading notes, and organize everything in a single research workspace.
- **Multi-model AI tools:** Access top-tier models for chat, diagram drawing and image editing, with new models added as they ship.

**強み:** Very large indexed corpus with continuously refreshed papers; Synthesis tools (Compare, Graph) go beyond basic summarization; Combines external literature search with your own uploads; Multi-model chat for tasks like diagrams and images

**制約・デメリット:** Advanced features and higher limits sit behind the Pro plan; A very broad feature set can take time to learn; Multi-model chat is a general assistant aid rather than a peer-review tool; No indication of full offline or self-hosted use

[Profile (Markdown)](https://openaitools.app/ja/tool/openread.md)

## Paper Digest

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.

**料金とプラン:** Paid

- **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.

**強み:** 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

**制約・デメリット:** 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

[Profile (Markdown)](https://openaitools.app/ja/tool/paper-digest.md)

## よくある質問

### OpenRead と Paper Digest の月間トラフィックはどのように比較されますか？

OpenRead の月間訪問数は 27,098、Paper Digest は 97,202 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。

### 成長率はどのように比較されますか？

OpenRead の前月比成長率は -51.6%、Paper Digest は -7.1% です。

### 料金はどのように比較されますか？

OpenRead: フリーミアム、有料、料金は要問い合わせ。OpenRead uses a freemium model: a free tier for core search and reading, plus a Pro subscription that unlocks higher limits and advanced AI features. Contact the team for institutional or enterprise arrangements. Paper Digest: フリーミアム。Paid

## 代替ツール

| # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/ja/tool/semantic-scholar) | 8,198,672 | +5.8% | 無料 | Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meanin | [.md](https://openaitools.app/ja/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/ja/tool/consensus) | 6,014,388 | -1.2% | フリーミアム | 査読論文を対象としたAI学術検索エンジン | [.md](https://openaitools.app/ja/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/ja/tool/scispace) | 4,464,111 | +8.6% | フリーミアム | 科学論文を読み、理解し、執筆するためのAIリサーチ基盤 | [.md](https://openaitools.app/ja/tool/scispace.md) |
| 4 | [Elicit](https://openaitools.app/ja/tool/elicit) | 1,751,507 | +3.1% | フリーミアム | エビデンスに基づく文献レビューと統合のためのAI研究アシスタント | [.md](https://openaitools.app/ja/tool/elicit.md) |
| 5 | [Jenni](https://openaitools.app/ja/tool/jenni) | 1,498,133 | +5.2% | フリーミアム | Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete su | [.md](https://openaitools.app/ja/tool/jenni.md) |
| 6 | [ChatPDF](https://openaitools.app/ja/tool/chatpdf) | 1,044,477 | -3.7% | フリーミアム | PDF・動画・Webサイトと対話し、引用付きの回答を数秒で取得 | [.md](https://openaitools.app/ja/tool/chatpdf.md) |
| 7 | [Scite](https://openaitools.app/ja/tool/scite) | 841,974 | +1.1% | 無料トライアル、料金は要問い合わせ | 3 億件超の学術全文に基づく AI 回答 | [.md](https://openaitools.app/ja/tool/scite.md) |
| 8 | [ResearchRabbit](https://openaitools.app/ja/tool/researchrabbit) | 831,571 | +3.1% | 無料 | ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from | [.md](https://openaitools.app/ja/tool/researchrabbit.md) |
| 9 | [Paperguide](https://openaitools.app/ja/tool/paperguide) | 371,972 | -2.9% | フリーミアム | 文献レビューと監査可能なシステマティックレビューのためのAIネイティブ研究ワークスペース | [.md](https://openaitools.app/ja/tool/paperguide.md) |
| 10 | [Scholarcy](https://openaitools.app/ja/tool/scholarcy) | 195,058 | +4.6% | フリーミアム | Scholarcy is an AI reading assistant that turns research papers, articles, book chapters, and textbook sections into interactive summary flashcards, surfacing key findings, concepts, and referenced works so you can scree | [.md](https://openaitools.app/ja/tool/scholarcy.md) |

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出典: https://openaitools.app/ja/compare/openread-vs-paper-digest

More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)