Semantic Scholar

About Semantic Scholar

Semantic Scholar is a free AI-powered academic search engine developed by the Allen Institute for AI (AI2) that indexes over 200 million scientific papers across all disciplines, using natural language processing to understand the semantic content of papers rather than just keyword matching. Its AI extracts and structures key information from papers including methods, results, figures, and citations, enabling semantic search, TLDR summaries, influential citation detection, and research trend analysis. The Semantic Reader feature provides an AI-enhanced PDF reading experience with instant definitions, citation context on hover, and related paper recommendations. Semantic Scholar's datasets and APIs are freely available for research, making it the foundational dataset behind many academic AI tools including Elicit, Consensus, and Research Rabbit.