Semantic Scholar vs Google Scholar
Side-by-side comparison of AI Research tools
Semantic Scholar
Free AI academic search with 200M+ papers, TLDR summaries, and citation graphs.
Visit Semantic Scholar →Google Scholar
Free Google search engine for scholarly articles, theses, books, and patents worldwide.
Visit Google Scholar →Key Features
- 200M+ paper database
- TLDR summaries
- Citation graphs
- Key figure extraction
- Author profiles
- API access
- Broad academic search
- Citation counts
- Related articles
- Author profiles
- Library links
- Alerts for new papers
Pricing
free
Completely free. API access available for developers.
free
Completely free. No paid tier.
Pros & Cons
Pros
- Completely free
- Massive database
- AI-generated TLDR summaries
- Great API for developers
Cons
- Academic papers only
- Less polished UI
- TLDR can oversimplify complex topics
Pros
- Completely free
- Largest index of scholarly work
- Simple interface
- Citation tracking
Cons
- No AI-powered analysis
- Quality filtering is limited
- Metadata often incomplete
- No API for developers