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Semantic Scholar

Free AI-powered academic search engine by AI2

AI Data & Research
Free tier
academic-search
free
api
bibliometrics

Semantic Scholar is Free AI-powered academic search engine by AI2. Best for researchers and developers who need a high-quality, freely accessible academic index with a documented api. Pricing: Completely free to use, including the API. No paid tiers.. A free tier is available.

See Semantic Scholar pricing, plans & free tier →

Overview

Semantic Scholar is a free, AI-driven academic search engine built by the Allen Institute for AI, indexing over 200 million papers. It uses NLP to surface influential citations, author impact metrics, and semantically related papers beyond keyword matching. A free public API is available for developers.

Best for

Researchers and developers who need a high-quality, freely accessible academic index with a documented API.

Not for

Users who need full-text access to paywalled papers — it provides metadata and abstracts, not hosted articles.

What people use it for

Semantic academic search
Paper impact analysis
Research API integration
Citation graph exploration

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Frequently asked questions

Is Semantic Scholar worth it?
Semantic Scholar is worth it if researchers and developers who need a high-quality, freely accessible academic index with a documented api. It's not the right pick if users who need full-text access to paywalled papers — it provides metadata and abstracts, not hosted articles. A free tier lets you test it at no cost first.
What is Semantic Scholar?
Semantic Scholar is Free AI-powered academic search engine by AI2. It's best for researchers and developers who need a high-quality, freely accessible academic index with a documented api.
How much does Semantic Scholar cost?
Completely free to use, including the API. No paid tiers.
Does Semantic Scholar have a free tier?
Yes, Semantic Scholar offers a free tier or free plan.
What are the best Semantic Scholar alternatives?
Top alternatives include Julius AI, ThoughtSpot, Hex. See the full comparison on our Semantic Scholar alternatives page.