Search 250M+ academic papers, auto-extract data into tables, and synthesize findings with citations.
Already built a search in Scopus or Web of Science? Export it with abstracts included, then drop the file here or paste the text. PaperLens auto-detects the format, de-duplicates by DOI/title, and merges it with your results — then you can run AI extraction, synthesis and gap-finding across the whole set. Nothing leaves your browser except the abstracts you choose to analyse.
1. Search — type a research question; we query OpenAlex's 250M+ papers. 2. Extract — add column-questions (e.g. "sample size", "method", "main finding") and let AI fill a table from each abstract. 3. Synthesize — generate a cited summary across the top papers. 4. Export — download everything as CSV or Excel.
Yes — completely free and no login required. Paper data comes from the open OpenAlex catalogue and the AI runs on a free model.
OpenAlex, an open index of 250M+ scholarly works with abstracts, citation counts, and open-access links. More sources (Crossref, Europe PMC, PubMed, ClinicalTrials.gov) are planned.
Each answer is taken only from the paper's abstract; if the abstract doesn't state it, PaperLens says "Not reported in abstract." Always verify against the full text before citing.