Semantic Scholar

Semantic Scholar

Semantic Scholar is a free, AI-powered research tool that helps scholars discover and understand scientific literature. It indexes over 200 million papers across all fields of science, using machine learning to extract meaning, identify connections, and surface insights. Key features include AI-generated one-sentence summaries (TLDRs), citation graphs with influence indicators, citation intent classification, and personalized research feeds. The tool also provides Semantic Reader, an augmented reader with AI-powered functionalities like Ask This Paper and term definitions. For developers, Semantic Scholar offers a RESTful API and downloadable datasets (S2AG, S2ORC) to build scholarly applications. Target users include researchers, scientists, students, and developers seeking to accelerate scientific breakthroughs through better access to literature.

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Added on
Jul 13, 2026
214M papers2.49B citations79M authorsAI searchTLDR summariesSemantic ReaderAsk This Paper
Product information

Everything worth knowing about Semantic Scholar

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI-Powered Search
Uses machine learning to extract meaning and connections from papers for relevant search results.
Semantic Reader
Augmented reader with citation cards, term definitions, and inline TLDRs for richer reading.
TLDR Summaries
AI-generated extreme summaries that help researchers quickly grasp key points of a paper.
Ask This Paper
Generative AI Q&A system that answers questions by querying the full content of a paper.
Topic Pages
AI-synthesized pages covering definitions, related topics, and recent papers for key concepts.
Technical capabilities
Citation Intent Classification
ML model that categorizes citations as background, method, or results extension.
Must watch videos
Semantic Scholar | AI for Researchers
3:23
Tutorial3:23
Semantic Scholar | AI for Researchers
Semantic Scholar https://www.semanticscholar.org/ is an artificial intelligence (AI) tool for researchers and postgraduate students that helps you find research papers as well as related studies. You can create a library and it can create a citation for you. You can also create an alert to get notified when new papers are published in your area or even when a specific paper gets cited. Create an account and add a term to the search bar. From there you can click around to make it do what you want it to do. What does it cost? Freeeee! The Research Masterminds Success Academy is an awesome membership site for postgraduate students working on a masters or doctoral research project - a safe place with live workshops, helpful content and an engaging community - all of which will allow you to develop your academic skills, stay motivated, boost your productivity, complete your research project with ease, and have time to enjoy the good things in life. Click here to join today: https://www.researchmasterminds.com/join-the-academy This video cannot and does not contain professional advice. The information is provided for general informational and educational purposes only, may not suit your unique personal circumstances and is not a substitute for professional advice. Accordingly, before taking any actions based upon such information, we encourage you to consult with the appropriate professionals. The use or reliance of any information in this video is solely at your own risk.
Semantic Scholar: AI Powered Research Tool
17:36
Tutorial17:36
Semantic Scholar: AI Powered Research Tool
In this video, learn how to use Semantic Scholar, an AI-powered academic search engine developed by the Allen Institute for AI, to find, understand, and connect research papers effectively. Discover how Semantic Scholar helps you: 1. Search for research papers across disciplines 2. View summaries (TL;DR) and influential citations 3. Track references, related works, and citation graphs 4. Explore author profiles and connected papers 5. Save and organize your reading list
Semantic Scholar - Product Demo
1:48
Tutorial1:48
Semantic Scholar - Product Demo
Learn about Semantic Scholar, the AI powered academic search engine from AI2.

Who uses it

Real use cases, no hype
Literature Discovery
Search across 200M+ papers with AI ranking and relevance signals.
Citation Analysis
View citation counts, velocity, acceleration, and intent classifications.
Personalized Feeds
Get paper recommendations based on your library and ratings via Research Feeds.
API Integration
Build apps using the Semantic Scholar Academic Graph API for paper and author data.
Author Research
Explore author pages with h-index, publication timeline, and collaboration networks.
Topic Exploration
Use AI-generated topic pages to quickly understand research areas.
Augmented Reading
Read papers in Semantic Reader with citation cards, definitions, and inline Q&A.
What's great
  • Free AI-powered search for scientific literature
  • Indexes over 200 million papers
  • REST API for developers with authenticated access
  • AI-generated TLDR summaries for quick understanding
  • Integrates with Zotero for citation management
Technical strengths
  • Identifies influential citations using ML models
  • Field of Study classification via S2FOS model
Where it falls short
  • Unlimited API use is rate-limited without key
  • Limited coverage of books, patents, and non-English papers
  • TLDRs only available for computer science and biomedical domains
  • Citation counts may differ from other sources due to corpus scope
  • Some AI features like Ask This Paper only tested on English
Technical limitations
  • Free API key rate limit capped at 1 request per second
  • Field of Study classification only reliable for English-language papers
For technical folks

The deep-dive specs

Papers indexed
214 million
Citations indexed
2.49 billion
Authors indexed
79 million
API rate limit (unauthenticated)
1000 RPS shared
API rate limit (with key)
1 RPS introductory

FAQ

Includes technical Q&A
Semantic Scholar is a free, AI-powered tool that uses machine learning to extract meaning, identify connections, and surface insights from papers, helping researchers quickly discover relevant literature and overcome information overload.

Traffic Insights

Monthly Visits

July 2026

Growth Rate

0%

vs last month

Dominance

0%

in Search

Top Country

Top Countries

Growth Trend

Stable

Traffic has remained stable.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
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Capterra
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Product Hunt
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COMMUNITY COMMENTS

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Detail tags
Found via these searches
#AI#Research#Science#LiteratureSearch#Academic#NLP#MachineLearning