AI Research Papers
Visit website
Semantic Scholar
Free AI-powered search and reading tool for scientific literature, with an API for developers.
Semantic Scholar
AI-powered search and reading for scientific papers
What is Semantic Scholar?
Semantic Scholar is a free, AI-powered research platform for finding, exploring, and reading scientific papers. It offers paper search across a large literature index, an API for developers, and features like Semantic Reader for more accessible reading.
How to use Semantic Scholar?
- 1Search for a paper, topic, author, or keyword.
- 2Filter and sort results by relevance or other available options.
- 3Open a paper to review abstract, citations, references, and related work.
- 4Use Semantic Reader when available for a more contextual reading experience.
- 5Developers can use the API to build scholarly search or research apps.
Semantic Scholar Key Features
- AI-powered paper search
- Large scientific literature index
- Semantic Reader beta
- Developer API for paper search
- Citation and reference exploration
- Research discovery across fields of science
Semantic Scholar Use Cases
- Finding relevant academic papers
- Literature reviews and background research
- Exploring citations and related work
- Building scholarly search applications with the API
- Reading papers with added context and accessibility
Semantic Scholar Pricing & Free Credits
Semantic Scholar currently operates on a Free model.
Semantic Scholar Pros & Cons
Pros
- Free to use
- Strong focus on scientific literature search
- Useful API for developers
- Semantic Reader adds reading support
Cons
- Pricing details for API limits are not clearly listed
- Semantic Reader is only in beta for select papers
- Coverage and access may vary by paper
What is Semantic Scholar best for?
- Researchers
- Students
- Academic teams
- Librarians
- Developers building scholarly tools