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Semantic Scholar

Semantic Scholar

free

AI-powered research tool for discovering and understanding scientific literature

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About Semantic Scholar

Semantic Scholar is a free, AI-powered research tool for scientific literature that helps researchers discover, understand, and analyze papers from all fields of science. Built by the Allen Institute for AI (Ai2), it provides intelligent search capabilities across over 234 million papers, an augmented reader with AI-powered contextual features, and APIs for developers to build scholarly applications.

Key Features

  • Search across 234+ million papers
  • AI-powered paper discovery
  • Semantic Reader with augmented reading
  • Paper API for developers
  • Citation tracking
  • Research filtering and recommendations
  • Accessible interface for scientific literature

AI Models

Custom AI models for paper understanding and ranking

Use Cases

Scientific literature discoveryPaper search and analysisResearch paper recommendationsAcademic researchBuilding scholarly applications with APIsCitation tracking and mapping

Best For

ResearchersScientistsAcademicsDevelopers building scholarly applications

Supported Languages

English

Pros & Cons

Pros
  • Completely free to use
  • Access to 234+ million papers across all science fields
  • AI-powered semantic search for better discovery
  • Semantic Reader enhances comprehension with AI-powered insights
  • Open API for developers to build custom applications
Cons
  • Semantic Reader feature only available for select papers
  • Limited information about model architecture and training details
  • API documentation could be more comprehensive

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Details

Pricing
free
Pricing verified today
Company
The Allen Institute for AI (Ai2)
HQ
Seattle, USA
Views
0

Available On

Web AppAPI Only

Platform Support

API Access

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