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['citationCount']}") if paper.get('tldr'): print(f" TLDR: {p