Academic research

Semantic Scholar

  • ✓ Website checked Sep 25, 2026

Free AI-powered search engine for scientific papers from Ai2, with an augmented reader and a public API.

CategoryAcademic research Pricing modelFree Recorded websitewww.semanticscholar.org

Tool Information

Semantic Scholar is a free, AI-powered research tool for scientific literature built by the Allen Institute for AI (Ai2). Users can search more than 238 million papers from all fields of science, follow authors and topics with a free account, and read selected papers in Semantic Reader, an augmented reader in beta that adds context such as citation details while reading. Developers can build scholarly applications on its API, which offers paper search and other data under a separate API license agreement.

Semantic Scholar suits students, researchers, librarians and developers who need to discover and track academic work. Search results and AI-generated summaries are aids to discovery, so papers should still be read and cited from their published versions. Nothing was tested for this listing.

The site describes Semantic Scholar as a free tool, and creating an account is optional. Use of the website and services is governed by Ai2's terms and conditions of use, effective September 25, 2024, and API use by its own license agreement.

Based on the official website (/, /terms/2024-09-25), reviewed by an editor.

Capabilities

What you can do

Search across 238M+ papers

Semantic Reader augmented reading

Author and topic alerts

Research feeds

Public API for developers

Put it to work

Ideas for your first session

  1. Finding related papers for a literature review
  2. Tracking new work by an author
  3. Building a scholarly app on the API

Example tasks to explore. Results depend on your input and the features available to your account.

Pricing

Free AI-powered research tool; optional free account; API under a separate license agreement. · Source checked · Source ↗

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About this listing

The profile reflects current official product, pricing and privacy evidence; untested claims are qualified.

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