Semantic Scholar
AI-powered discovery engine for 236+ million research papers
Semantic Scholar is an AI-powered platform that transforms how researchers explore scientific literature. Built by the Allen Institute for AI, it indexes over 236 million academic papers and uses semantic understanding to surface relevant research—discovering connections that keyword-only search engines would miss.
Highlights
- Searches 236+ million papers across all scientific disciplines with AI-powered relevance ranking
- Augmented reader mode analyzes paper structure and highlights key insights, methods, findings, and citations
- Free developer API for building research tools and integrating scholarly search without cost
- Scholar's Hub organizes your papers, enables building reading lists, and tracks research progress
- Handles complex multi-paper queries and reveals connections traditional search engines overlook
Semantic Scholar is completely free for researchers exploring papers and developers building on the API. It's ideal for academic researchers, graduate students, literature review teams, and anyone creating scholarly discovery tools.
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