Semantic Scholar is a free research platform for finding and exploring scientific literature. It uses AI and machine learning to help users discover relevant papers across a large academic corpus. Users can search for papers, authors, citations, references, and related research from one place.

For developers, Semantic Scholar also offers an Academic Graph API with access to data on papers, authors, citations, venues, abstracts, PDFs, and other academic metadata. Its API includes search, paper details, recommendations, and downloadable datasets.

• AI-powered search: Find relevant scientific papers with filters for fields, authors, journals, publication types, and dates.
• TLDR summaries: Get short AI-generated summaries of papers to quickly understand their main points.
• Citation analysis: Explore citations, references, and highly influential citations to trace research connections.
• Research feeds: Receive personalized paper recommendations based on papers saved in your library.
• Paper library: Save and organize papers into folders, export citations, and share collections with collaborators.
• Ask This Paper: Ask questions about supported papers and get AI-generated answers with supporting statements from the paper.
• Semantic Reader: Read supported papers with citation cards, AI-generated highlights, and contextual research information.
• Citation tools: Export citations in formats such as BibTeX, MLA, APA, Chicago, and EndNote.

• Free access: Search and explore scientific literature without a paid subscription.
• Faster paper discovery: AI-powered search helps users find relevant research across more than 200 million papers.
• Quick paper summaries: TLDRs provide short AI-generated summaries that help users decide which papers are worth reading.
• Personalized recommendations: Research Feeds suggest new papers based on the research saved in a user's library.
• Organized research library: Save papers, create folders, export citations, and share collections with collaborators.
• Helpful reading tools: Semantic Reader adds citation cards, AI-generated highlights, definitions, and note-taking features to supported papers.

• TLDR coverage is limited: AI-generated TLDRs are currently limited to computer science and biomedical research.
• Full-text access varies: Access to some papers depends on publisher availability or institutional subscriptions.
• Some features require an account: Saving papers, research feeds, and alerts require users to sign in.

• Academic research: Find relevant papers, follow citations, and organize sources for literature reviews.
• Students: Discover research for assignments, projects, and academic writing.
• Researchers: Track new papers and citations through personalized feeds and alerts.
• Research teams: Share paper collections and keep reading lists organized.
• Developers: Access Semantic Scholar's scholarly datasets and APIs to build research and academic applications.