Semantic Scholar

Semantic Scholar is a free research discovery tool for scientific literature, based at Ai2. It helps researchers find papers and follow related work across fields. Developers can use its academic graph, datasets, and APIs to build scholarly applications. Paper discovery remains separate from evaluating the quality of a study.

Key Highlights

• Index of over 200 million academic papers
• Publisher partnerships, data providers, and web crawls
• More than 50 publisher and scholarly-society partners
• Developer APIs and research datasets
• Tools for finding and exploring scientific literature

What Makes It Different

The service organizes scientific papers and their relationships for discovery. Publisher partnerships and other data providers contribute material alongside web crawls. That breadth helps users explore a field, but a paper being indexed does not establish that its methods or conclusions are sound.

Features & Capabilities

Search for a topic or paper, inspect the available record, and follow links to relevant literature. Use the original paper to examine methods, results, and qualifications before citing a claim. Compare related studies rather than relying on a single search result.

The Semantic Scholar Academic Graph provides records for research papers. S2ORC supplies a machine-readable academic text corpus for research applications. Developers should review the relevant API documentation, data license, and access requirements before integrating a service or dataset into an application.

User Ratings and Testimonials

Evaluate it with known papers and several searches from your field. Check whether records and links support the research workflow you need. Coverage and available text vary between publications; inspect the original publication when an abstract or indexed record omits important context.

Pricing & Value

The web research tool and account access are free. Developer API use has its own access and rate-limit requirements. Check the applicable dataset and API conditions before planning a large integration. The practical value is scientific discovery and structured research data, rather than a guarantee that every indexed claim is reliable.