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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.
AI research assistant for reading, searching, and writing about academic papers, built for researchers managing a personal library.
Widely used visual tool for exploring related academic papers.
Gamified platform to learn 20+ programming languages via interactive lessons, a browser playground and an AI tutor.
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-assisted search across academic papers
- ✦Chat-based Q&A over uploaded documents with source citations
- ✦Personal research library with retention limits by plan
- ✦AI writing agent for drafting research-based content
- ✦API access for institutions and businesses
- ✦Adjustable file upload size (up to 300 pages on top tier)
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦Interactive lessons in 20+ languages
- ✦Browser playground to run code with no setup
- ✦AI tutor that explains and debugs code
- ✦Shareable completion certifications
- ✦Cheat sheets, docs and developer tools
- ✦Team/business training option
- →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
- →Finding papers relevant to a research topic
- →Getting quick summaries and answers from long PDFs
- →Managing and revisiting a personal library of research papers
- →Drafting literature-informed writing with AI assistance
- →Integrating paper search/analysis into an institution's own tools via API
- →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
- →Learning to code from scratch
- →Practicing a new programming language
- →Getting instant AI help while coding
- →Earning certificates to share
- →Onboarding and training engineering teams