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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-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
AI research workspace combining literature search, protocol drafting, chemistry tools, and notebook computation for scientists.
No public pricing
No public pricing
Free trial available
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
- ✦Reference import, organization, and deduplication across large libraries
- ✦AI-powered relevance predictions to prioritize screening
- ✦Collaborative title/abstract and full-text screening workflows
- ✦Structured data extraction and PICO framework support
- ✦Risk of bias assessment tools
- ✦Auto-generated PRISMA flow diagrams and audit trails
- ✦Mobile app for screening on the go
- ✦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
- ✦Scholar 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
- →Running systematic literature reviews as a research team
- →Speeding up deduplication and abstract screening for large reference sets
- →Producing PRISMA-compliant documentation for publication
- →Coordinating divided screening workloads across reviewers
- →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
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