Semantic Scholar is a free research tool aggregating scientific literature across fields, from nanotechnology through to moral reasoning.
What separates it from a conventional literature database is the approach: it uses AI to understand the semantics of the research itself, which is how it surfaces relevant publications rather than papers that happen to share vocabulary. The archive currently holds more than 211 million papers.
Semantic Reader, currently in beta, provides an augmented reading experience intended to make scientific literature both more accessible and richer to read.
For developers there is a newly improved API supporting paper search, with better documentation and improved stability.
It was developed by the Allen Institute for AI, whose stated focus includes making AI research more efficient, reducing its carbon footprint and widening inclusivity. Semantic Scholar is free.
Research basis: This is a source-based directory listing prepared from public product information; it is not represented as a hands-on test. Last updated September 20, 2026. Read our methodology.
Exact feature availability by plan was not specified in the source.
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