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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Semantic Scholar
✓ verifiedFree
Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
7.9M visits/mo13K saves
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Elicit
✓ verifiedFreemium
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
2.1M visits/mo
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Paper Digest
✓ verifiedFreemium
AI research platform for literature reviews, paper Q&A and daily digests, built for academics wanting cited answers.
140K visits/mo
Pricing
No public pricing
Basic: Free
Plus: $10 per month, billed annually
Pro: $42 per month, billed annually
Team: $65 per user, per month billed annually
Enterprise: Custom
No public pricing
No public pricing
No public pricing
Core features
- ✦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
- ✦Scholar Search
- ✦Research on AI governance
- ✦Analysis of AI risks and opportunities
- ✦Annual reports and updates
- ✦Information on AI regulation
- ✦Event summaries and announcements
Use cases
- →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
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- →Understanding public attitudes towards AI
- →Analyzing the impact of AI on great powers
- →Regulating downstream AI developers
- →Managing risks from AI-enabled biological tools
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