Open Paper
openpaper.aiSummary
Ask questionsOpen Paper is an AI-powered platform designed to help researchers read, annotate, and understand academic papers more efficiently. It provides an AI assistant for contextual insights, tools for note-taking and highlighting, audio summaries, and a paper finder to discover related research.
Features5/12
See allMust Have
4 of 5
URL Saving & Preview
Contextual Side Notes
Public Sharing
Instant Link Adding
List & Section Organization
Other
1 of 7
Sign-In & Authentication
Minimalist Interface
Profile Gateway
Media Type Support
Granular Sharing Permissions
Mobile Responsive Design
Embed Support
PricingTiered
See allBase
- Annotations
- Notes
- Paper finder
- 10 Paper uploads
- 500 MB Knowledge base size
- Basic Models
- 500 Chat credits (daily)
- 5 Audio overviews (monthly)
- 2 Literature review (monthly)
Researcher
- Annotations
- Notes
- Paper finder
- 500 Paper uploads
- 3 GB Knowledge base size
- Advanced Models
- 10,000 Chat credits (daily)
- 100 Audio overviews (monthly)
- 100 Literature review (monthly)
Teams
- Annotations
- Notes
- Paper finder
- Unlimited Paper uploads
- 50 GB Knowledge base size
- Advanced Models
- Unlimited Chat credits (daily)
- Unlimited Audio overviews (monthly)
- 500 Literature review (monthly)
- Team annotations
- Team chat
Rationale
Open Paper is a tool for reading, annotating, and understanding research papers. While it focuses specifically on academic papers (PDFs), it allows users to upload and save these 'URLs' (papers), add notes/annotations (contextual side notes), and share their annotations (public sharing). It also supports instant adding of papers and requires sign-in for full functionality. The core concept of curating and sharing web resources with annotations aligns, even if the specific 'URL' type is limited to research papers.
