Semantic Scholar

Semantic Scholar is an AI powered scholarly search product run by the Allen Institute for AI, designed to help users discover papers, authors, venues, citations, and related research quickly. The web search experience is free to use and focuses on strong metadata and citation linkage so readers can move across a research area without manually chasing references. For builders, Semantic Scholar also offers a public REST API under an API license agreement, enabling programmatic access to publication and author data for research tooling and analytics. The API pages describe endpoints that let you find and explore scientific publication data about papers, authors, citations, and venues, and they provide licensing terms that govern acceptable use. There is no paid subscription tier advertised for the core search experience, so the practical decision is about compliance and rate behavior rather than purchase. For evaluation, test coverage in your domain, verify metadata accuracy for key papers, and confirm whether your use case needs the API or only the web interface. If you plan to ship a product using the API, review the license terms carefully and design around rate limits and attribution requirements as applicable. Semantic Scholar works best as a reliable discovery layer and as a research graph datasource for non commercial and commercial projects that can meet the published license constraints.