ResearchRabbit

AI research assistant for literature review and evidence synthesis.

Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

AI search over 200M+ peer-reviewed papers, with citations.

An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

AI research assistant: search, read, and review the literature.

AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator. Formerly Typeset.io; introduced agentic 'Deep Review' literature search in 2025. Free Basic tier with paid upgrades.

AI-powered academic search across 200M+ papers with one-sentence TLDR summaries.

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.