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OpenRead is an AI-assisted research platform designed to streamline the process of reading and understanding academic papers. It allows users to upload or import research papers and interact with them through AI-driven features such as paper Q&A, automated summaries, figure and table extraction, and literature organization. The platform supports researchers in quickly extracting key insights from dense scientific documents without reading them in full. Users can build a personal paper library, generate structured paper digests, and ask questions directly about paper content. OpenRead also offers a research feed and tools for organizing literature by topic. It is aimed at academics, students, and professionals who regularly engage with large volumes of scientific literature and need to accelerate their reading and comprehension workflows.

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Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud

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Pricing

Pricing details:
Free trial
Free version

Free

USD0
Flat rate
Monthly subscription

Basic

USD5
Flat rate
Monthly subscription

Premium

USD20
Flat rate
Monthly subscription

University / Institute / Enterprise Subscription

USD200
Flat rate
Annual subscription
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Key features

AI paper Q&AAutomated paper summarizationFigure and table extractionPersonal paper libraryPaper digest generationLiterature organization by topicResearch feedPDF import and upload

Use cases

  • Summarize academic papers automatically
  • Ask questions about paper content
  • Organize and manage a personal research library
  • Extract figures, tables, and key data from papers
  • Accelerate literature review workflows

Best for

  • Researchers who need to rapidly comprehend large volumes of academic literature
  • Graduate students who need to conduct efficient literature reviews
  • Professionals who need to stay current with scientific publications in their field
  • Academic teams who need to organize and share research paper libraries