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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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ThesisAI
✓ verifiedPaid
AI research workspace that drafts full academic papers with verified inline citations from up to 500 uploaded sources in a single prompt.
189K visits/mo32K saves
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Infranodus
✓ verifiedFreemium
Knowledge-graph text analysis tool that surfaces topics and content gaps for research, SEO and market analysis.
71K visits/mo
Pricing
No public pricing
Per document: from $4
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
- ✦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
- ✦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
- ✦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
- →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
- →Research and idea generation
- →SEO content-gap analysis
- →Qualitative and market research
- →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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