# Dewey vs OpenRead

Dewey records 0 monthly visits with — month-over-month growth and Free pricing. OpenRead records 27,098 monthly visits with -51.6% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Dewey](https://openaitools.app/tool/dewey) | [OpenRead](https://openaitools.app/tool/openread) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/dewey/oajcmbkciefmmbpfhdldgjehbkjaleda | https://www.openread.academy |
| Categories | AI Research Papers, AI API, AI Research Tool | AI Research Tool, AI Research Papers, AI PDF Summarizer, AI Summarizer |
| Pricing Model | Free | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 0 | 27,098 |
| MoM Growth Rate | — | -51.6% |
| Primary Market | Global | Indonesia |
| Direct Visits | 0 | 7,067 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 7 |
| Supported Platforms | Browser Extension | Website |

## Dewey

Dewey solves a very specific and recurring problem in academic reading: you have found one good paper and now want the others that are conceptually close to it. Instead of reformulating queries by hand across a search engine or bibliographic database, Dewey reads the paper page you are currently on and returns a set of related papers, ranked by semantic similarity rather than keyword overlap.

The extension is deliberately small — the Chrome Web Store listing reports a package of roughly 14 KB — and the entire intelligence sits behind the Exa API, an AI-native search engine built for embeddings-style retrieval over web and document content. That architecture is why Dewey can act on any paper page you land on, not just ones hosted in a single database.

Dewey is free, has no advertisements, and the developer discloses that no user data is collected or sold. It is a good fit for graduate students, systematic-review authors, and anyone who routinely jumps between Google Scholar, publisher pages, and preprint servers and wants a faster way to expand a reading list.

**Pricing & Plans:** Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised.

- **One-click similar-paper search:** Press the extension on any research paper page and get a ranked list of conceptually related papers without retyping queries.
- **Semantic matching via Exa:** Results come from the Exa AI search engine, which ranks by meaning and context rather than exact keyword matches.
- **Works on any paper page:** Because retrieval runs through the Exa API, Dewey is not locked to a single repository and can act on publisher pages, preprint sites, and personal pages.
- **Zero-ads, lightweight build:** The extension ships as a very small package and shows no advertising, keeping page load and interface overhead minimal.
- **Privacy-conscious defaults:** The developer declares no data collection, no sale of data to third parties, and no unrelated use of browsing data.

**Strengths:** Completely free with no advertising; Extremely lightweight install (small package, minimal footprint); Semantic similarity produces better neighbours than keyword search; Works across publishers and preprint servers, not one walled database

**Limitations:** Depends entirely on the Exa API, so quality tracks that service; No saved libraries, annotations, or export features; Last listed update was mid-2024, so the project moves slowly

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

## OpenRead

OpenRead is built for people who read a lot of research and need to make sense of it quickly. It indexes a very large body of scholarly literature — the site advertises access to over 300 million papers, with fresh papers arriving from thousands of journals — and layers AI on top so you can search by meaning, not just keywords. You can upload your own PDFs alongside the public corpus and build a personal research space.

Beyond simple summarization, OpenRead focuses on synthesis. Paper Compare highlights where studies agree and where they contradict each other, Paper Q&A lets you interrogate a document, and a related-paper graph shows how ideas connect across the literature. An Espresso mode and note-taking tools support fast skimming and capture, while chat access to top-tier AI models handles diagram drawing, image editing and homework-style questions — the platform positions itself as picking the best model for each task.

The service has a free tier and a Pro subscription, and it also runs a program that pays experts for contributing knowledge. It is aimed at researchers, analysts and students working across disciplines, including market research, competitive intelligence and policy analysis.

**Pricing & Plans:** 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.

**Strengths:** 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

**Limitations:** 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/tool/openread.md)

## Frequently Asked Questions

### How do Dewey and OpenRead compare in monthly traffic?

Dewey has 0 monthly visits, while OpenRead has 27,098. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dewey has a month-over-month growth rate of —; OpenRead has -51.6%.

### How does pricing compare?

Dewey: Free. Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised. OpenRead: Freemium, Paid, Contact for Pricing. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 5 | [ChatPDF](https://openaitools.app/tool/chatpdf) | 1,044,477 | -3.7% | Freemium | Chat with any PDF, video, or website and get cited answers in seconds | [.md](https://openaitools.app/tool/chatpdf.md) |
| 6 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | AI answers grounded in 300M+ scholarly full texts | [.md](https://openaitools.app/tool/scite.md) |
| 7 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 8 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 9 | [WisPaper](https://openaitools.app/tool/wispaper) | 107,817 | +0.1% | Freemium | Screen thousands of papers down to the studies that matter | [.md](https://openaitools.app/tool/wispaper.md) |
| 10 | [Paper Digest](https://openaitools.app/tool/paper-digest) | 97,202 | -7.1% | Freemium | AI-powered platform to read, write, and stay current with research | [.md](https://openaitools.app/tool/paper-digest.md) |

---
Source: https://openaitools.app/compare/dewey-vs-openread

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
