Semantic Scholar

Free, AI-powered research tool for discovering scientific literature. Search millions of peer-reviewed papers across disciplines with semantic relevance and citation context.

Founded: 2015
Organization: Allen Institute for AI (AI2)
Country: United States
★★★★★
5.0 / 5 from academics, researchers, and institutions worldwide

Key Features

  • Search over 220 million academic papers using semantic relevance
  • AI-powered citation analysis and influential paper detection
  • Semantic Reader (Beta): enhanced reading with contextual insights
  • Topic filtering, authorship tracking, citation graphs
  • Free and public REST API for developers
  • Cross-discipline coverage: medicine, computer science, biology, and more

Screenshot Preview

Semantic Scholar homepage with AI search interface
Semantic Scholar search engine powered by machine learning and citation intelligence

AI Output Example

“Query: Large language models in medicine → Result: Semantic Scholar returns the most cited, contextually relevant medical AI papers with citation trails and author networks.”

Pricing

API Access

Developer API is free with generous limits for academic or research use.

Best For

Researchers
Graduate Students
Data Scientists
Academic Librarians
EdTech Developers

Milestones & Recognition

  • Over 220 million papers indexed
  • Developed by the Allen Institute for AI (AI2)
  • Includes augmented Semantic Reader beta experience
  • Featured in Nature, Wired, Science, and AI research communities