AI Tool
OpenRead pricing, features, company info, and alternatives
A factual product page for OpenRead as an AI research platform for paper search, summaries, comparisons, and notes.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for OpenRead, last verified Apr 16, 2026.
Free
$0 / month
Includes limited Paper Espresso, Paper Q&A, Oat chat, paper graph, and LLM translation usage.
Basic
$5 / month
Includes higher usage limits for paper workflows and unlimited PDF parsing.
Premium
$20 / month
Includes unlimited paper workflows plus access to higher-tier models through Oat credits.
Oat Credits
$10
One-time credit pack with 100 million credits for Oat and supported premium models.
University / Institute / Enterprise
$200 / seat/year
Annual per-seat pricing; includes admin dashboard, SSO, larger uploads, and organizational data not used for AI training by default.
What You Can Do With It
The main capabilities that shape how people use OpenRead today.
Search across 300M+ papers and keep up with fresh paper updates from 20,000+ journals.
Use Paper Espresso, Paper Q&A, and Paper Compare for paper summaries and side-by-side reading.
Organize reading with related paper graphs, notes, and unlimited PDF parsing.
Use Oat for chat, web search, drawing, and image editing inside the same research workspace.
Best For
Who OpenRead is most clearly built for.
Researchers and students who want a paper-focused workspace with search, summaries, and comparisons.
People who want to read, compare, and annotate multiple studies in one browser app.
Teams and institutions that want an enterprise plan with SSO and admin controls.
Company
Leadership and company context for OpenRead, Inc..
CEO
Bensen Hsu
Founders
Bensen Hsu, Yiqi Wang
Headquarters
San Francisco, CA, USA
Platforms
Where you can use OpenRead today.
Web
Alternatives
Other tools worth considering alongside OpenRead.
AI research assistant for literature search, systematic reviews, and evidence synthesis.
AI search engine for peer-reviewed scientific and academic research.
AI literature review tool for discovering papers, tracing citation networks, and organizing collections.
AI research summarization workspace for papers, citations, and review workflows.
Product Snapshot
OpenRead is an AI research platform for searching papers, summarizing documents, comparing studies, and keeping notes in one browser workspace. It centers Paper Espresso, Paper Q&A, Related Paper Graph, and Oat around a large paper index.
What You Can Do With It
- Search across 300M+ papers and follow fresh updates from 20,000+ journals.
- Generate paper summaries with Paper Espresso and ask targeted questions with Paper Q&A.
- Compare multiple papers side by side and map related work with graph-style discovery.
- Use Oat for chat, web search, drawing, and image editing inside the same workspace.
Why It Stands Out
It combines paper search, summarization, comparison, and note-taking in one browser product instead of splitting them across separate tools.
Tradeoffs To Know
- The public materials center on the web experience, and no public API page is surfaced on the official site.
- The enterprise plan is quote-based, so procurement details are not fully self-serve.
- The product is research-focused, so it is narrower than a general-purpose assistant.
Sources
- openread.academy/pricing
- openread.academy/en
- openread.academy/terms-of-use
- netvorker.com/profile/openread-ai
- linkedin.com/in/bensen-hsu-6790481b3
- www4.lead411.com/Bensen_Hsu_144535959.html
- crunchbase.com/organization/openread
- theorg.com/org/openread/org-chart/yiqi-zoe-wang
- signalhire.com/companies/openread/employees
- linkedin.com/company/openread
- sg.linkedin.com/company/openread
- toolai.io/ko/ai/openread
- success.ai/ai-tools/openread
- openread.academy/about