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Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
Widely used visual tool for exploring related academic papers.
AI research search tool for peer-reviewed papers with citation management, now integrated into Jenni AI's writing workspace.
No public pricing
No public pricing
- ✦AI-powered semantic search across 236M+ papers
- ✦Semantic Reader for augmented, contextual paper reading
- ✦Free public API for paper search and metadata
- ✦Author and topic discovery
- ✦Citation graph exploration
- ✦Beta program for new features
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦Search across millions of peer-reviewed papers
- ✦Agentic AI chat that consults research and uploaded PDFs
- ✦Auto-citation in over 2,600 citation styles
- ✦One-click Zotero/Mendeley library import with metadata and PDFs
- ✦ScholarAI GPT available in the ChatGPT GPT Store
- ✦Developer API for integrating research search
- →Researchers searching scientific literature across disciplines
- →Developers building applications on top of scholarly data via the API
- →Students exploring citation networks for a topic
- →Librarians and academics needing free literature discovery tools
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Getting a visual overview of a new academic field
- →Ensuring no key papers are missed in a field with a large volume of new publications
- →Creating a bibliography for a thesis
- →Discovering relevant prior and derivative works
- →Finding and citing academic sources for a paper
- →Chatting with AI about uploaded research PDFs
- →Importing an existing reference library for a new project
- →Building custom apps on top of academic search via API