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ResearchAllen Institute for AI

Semantic Scholar

AI-powered academic search with one-sentence TLDR paper summaries.

Category
Research
Pricing
FREE
Hosting
Cloud
Platforms
WebAPI
Models
Self-contained (on-device)
Verified
Jun 13, 2026

Semantic Scholar is a free scholarly search engine from the Allen Institute for AI that indexes over 200 million papers across every field of science and uses NLP to surface the most relevant and influential work. Its TLDR feature generates ultra-short, one-sentence summaries of papers, and the Semantic Reader adds inline citation cards and skimming highlights to PDFs. An open API and adaptive Research Feeds let developers and researchers build on the same corpus.

Capabilities 3

What it actually does — grouped by capability family.

  • Recommendation engine (secondary capability)
  • Literature search (primary capability)
  • Summarization (secondary capability)

Pros & cons

  • TLDR one-sentence summaries for many papers
  • Covers every field of science
  • Semantic Reader adds inline citation context
  • Adaptive Research Feeds for new work
  • TLDR coverage skews to CS, bio, and medicine
  • Not a chat/Q&A research assistant
  • Metadata gaps for some niche fields

Tags

Further reading

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