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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 platform for literature reviews, paper Q&A and daily digests, built for academics wanting cited answers.
Knowledge-graph text analysis tool that surfaces topics and content gaps for research, SEO and market analysis.
AI research workspace combining literature search, protocol drafting, chemistry tools, and notebook computation for scientists.
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦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
- ✦literature review generator with per-sentence citations
- ✦AI reader for PDFs
- ✦AI writer with citations
- ✦academic claim verification
- ✦question answering over literature
- ✦daily, conference and best-paper digests
- ✦cross-source search of papers, patents and grants
- ✦Text network / knowledge graph visualization
- ✦Topic modeling and content-gap detection
- ✦AI insight and question generation
- ✦GraphRAG and MCP server for LLMs
- ✦Many import sources (PDF, CSV, YouTube, Google, web)
- ✦Obsidian plugin and browser extension
- ✦Literature search across PubMed, arXiv, and Google Scholar
- ✦AI-assisted protocol drafting and hazard/assumption auditing
- ✦Built-in chemistry tools for molecular weight, hazards, and reactions
- ✦Jupyter notebook execution with RDKit and PySCF support
- ✦Persistent workspace storing protocols, files, and audit trails
- ✦Access to multiple AI models (GPT, Claude, Gemini, Qwen, DeepSeek) in one subscription
- ✦Quantum chemistry simulation via PySCF and ASE
- →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
- →staying current with new research
- →generating cited literature reviews
- →reading and understanding papers
- →verifying academic claims
- →tracking topics and conferences
- →Research and idea generation
- →SEO content-gap analysis
- →Qualitative and market research
- →Researchers turning a question into a literature review and protocol
- →Chemists checking compound properties and reaction feasibility
- →Lab teams auditing experimental protocols for safety and gaps
- →Scientists running computational chemistry without separate tools