Semantic Scholar
Free AI-powered academic search from the Allen Institute, with TLDR summaries.
Quick verdict
- Best for
- Anyone searching papers without a budget
- Pricing
- Free
- Not ideal if
- No chat or extraction features
What is Semantic Scholar?
Semantic Scholar is a free academic search engine covering over 200 million papers, with AI-generated TLDR summaries, citation intent classification, author pages, and an open API and datasets that many other research tools are built on.
Key features
- 200M+ papers with full-text search
- One-sentence TLDR summaries
- Citation intent and influential-citation signals
- Research feeds and alerts
- Free API used by many tools
Pros
- Free and non-profit
- TLDRs make scanning results fast
- The data layer under much of the research-tool ecosystem
Cons
- No chat or extraction features
- Interface is plainer than commercial tools
- Summaries are short by design
Best for
Anyone searching papers without a budgetDevelopers building on academic dataResearchers tracking a field with alerts
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