Semantic Scholar is a free, AI-powered academic search engine created by the Allen Institute for Artificial Intelligence. It indexes hundreds of millions of scientific papers and uses natural language processing to extract meaning from text so you can find relevant research quickly.
Scientific literature is massive and grows every year. Traditional search tools can miss connections and key insights buried in papers. Semantic Scholar uses AI to highlight influential citations, summarize key points (including TLDRs), and recommend new work tailored to you — saving time for students, faculty, labs, and independent researchers.
You search by keywords, authors, or topics. The system ranks results with AI that understands semantic meaning, not just keyword matching. Once signed in, you can save papers to a library, create folders, toggle personalized research feeds, and receive alerts on new papers. Developers can also use a free API to integrate publication data into apps and workflows.
