Semantic Scholar
AI-powered academic research paper search engine
Overview
Semantic Scholar is a free AI-powered academic search engine developed by the Allen Institute for AI. It indexes over 200 million papers across all fields of science and uses AI to extract key findings, generate paper summaries (TLDR), identify influential citations, and surface the most relevant research. Its Semantic Reader feature provides AI-enhanced paper reading with inline definitions and related work.
Pricing Details
Completely free for all users, including API access.
Latest Model
Semantic Scholar AI
How to Use Semantic Scholar
Visit semanticscholar.org and enter your research query
Browse AI-ranked search results with TLDR summaries
Use filters to narrow by field, date, and citation count
Create a Research Feed for personalized paper recommendations
Use Semantic Reader for AI-enhanced paper reading
Key Features
Use Cases
The Good & The Bad
Pros
- Completely free including API
- AI summaries save significant time
- Excellent citation analysis
Cons
- Focused on academic papers only
- Some niche fields have limited coverage
- TLDR summaries can miss nuance
At a Glance
Best For
Researchers and academics who need AI-powered search and analysis of scientific literature
Free Trial
Completely free with no limitations
Mobile App
Web only, responsive design
API Access
Free and open API with generous rate limits
Team Features
Individual use — Research Feed and library for personal use
Last Updated
2026-02
Security & Privacy
- Non-profit operated
- Open data policies
Supported Languages
Available Platforms
Journey
Semantic Scholar launched
Semantic Scholar was released to the public, marking its official debut in the AI landscape.
Latest version
Semantic Scholar AI
Last reviewed
Our team verified Semantic Scholar's pricing, features, and capabilities to ensure accuracy.
Semantic Scholar in Action
Start Using Semantic Scholar Today
Semantic Scholar is completely free. Get started in seconds.
Frequently Asked Questions
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