AI-powered academic research paper search engine
Semantic Scholar is a free AI-powered academic search engine developed by the Allen Institute for AI. It indexes over 200 million papers across all fields of science and uses AI to extract key findings, generate paper summaries (TLDR), identify influential citations, and surface the most relevant research. Its Semantic Reader feature provides AI-enhanced paper reading with inline definitions and related work.
Completely free for all users, including API access.
Semantic Scholar AI
Visit semanticscholar.org and enter your research query
Browse AI-ranked search results with TLDR summaries
Use filters to narrow by field, date, and citation count
Create a Research Feed for personalized paper recommendations
Use Semantic Reader for AI-enhanced paper reading
Best For
Researchers and academics who need AI-powered search and analysis of scientific literature
Free Trial
Completely free with no limitations
Mobile App
Web only, responsive design
API Access
Free and open API with generous rate limits
Team Features
Individual use — Research Feed and library for personal use
Last Updated
2026-02
Semantic Scholar was released to the public, marking its official debut in the AI landscape.
Semantic Scholar AI
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