Semantic Scholar Has a Free API — It Gives You AI Summaries of Research Papers

Most academic search tools give you a title, abstract, and a DOI. Semantic Scholar gives you something different: AI-generated TLDR summaries for every paper. What Makes It Different Semantic Scholar is built by the Allen Institute for AI (AI2). Unlike Crossref or OpenAlex, it doesn't just store metadata — it understands papers using NLP. Features you won't find elsewhere: TLDR summaries — one-sentence AI summaries for millions of papers Influence scores — not just citation count, but citation quality Paper recommendations — "papers like this one" Author disambiguation — AI resolves which "J. Smith" is which Quick Example import requests resp = requests . get ( " https://api.semanticscholar.org/graph/v1/paper/search " , params = { " query " : " large language models reasoning " , " limit " : 3 , " fields " : " title,year,citationCount,tldr " }) for paper in resp . json ()[ " data " ]: print ( f " \n { paper [ ' title ' ] } ( { paper [ ' year ' ] } ) " ) print ( f " Citations: { paper [