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Semantic Scholar

A free, AI-powered research tool for scientific literature

AI Toolsacademic-searchscientific-literaturenlpresearch-discoveryopen-datamachine-learningscholarly-api
Semantic Scholar screenshot

About

Semantic Scholar is a free AI-powered academic search engine developed by the Allen Institute for AI (AI2) that indexes over 200 million scientific papers. It uses AI and natural language processing to extract meaning, identify connections between papers, and surface relevant research to scholars. The platform also offers open datasets, APIs, and an augmented reading experience to support the global research community.

Problem

Staying up-to-date with and discovering relevant scientific literature is an increasingly difficult challenge for scholars.

For

Researchers, academics, and developers working with scientific literature

How it works

Semantic Scholar uses AI and NLP models to process and classify academic papers, extract meaning, and identify connections to help users discover and understand research at scale.

Business model

free

Status

launched

Company

Allen Institute for AI (AI2)

Launched

2015

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