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Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
AI research workspace that drafts full academic papers with verified inline citations from up to 500 uploaded sources in a single prompt.
Interactive learning app with an AI tutor for math, coding, science and data-visual, adaptive lessons for all ages.
No public pricing
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-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Full document drafting from one prompt
- ✦Automated literature search via Semantic Scholar
- ✦Import and cite up to 500 uploaded papers
- ✦Inline citation verification
- ✦Export to PDF, Word, LaTeX, and BibTeX
- ✦Overleaf integration for manual editing
- ✦Zotero and Mendeley library import
- ✦Personal AI tutor (Koji)
- ✦Visual, interactive lessons
- ✦Adaptive practice based on mastery
- ✦Courses in math, CS, science and data
- ✦Gamified streaks, levels and daily goals
- ✦iOS and Android apps
- →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
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Researchers producing a literature review quickly
- →Students drafting long papers with verified citations
- →Academics writing in a non-native language
- →Exporting AI-drafted content into LaTeX workflows
- →Learning math and coding by doing
- →Getting adaptive tutoring outside class
- →Building STEM intuition
- →Daily skill practice