PaperTrace
Type in your research question. PaperTrace searches 250 million+ papers, screens every abstract, and drafts your synthesis in minutes.
PaperTrace is AI literature review for researchers who need a traceable workflow from research question to evidence table, synthesis, and export.
Use PaperTrace to search PubMed and additional literature sources, screen abstracts, fetch open-access full text, define extraction schemas, synthesize findings, identify research gaps, and export review artifacts.
PubMed/MEDLINE is the primary source and works for any topic searchable there. Pro and above unlock multi-source search across Semantic Scholar, Europe PMC, OpenAlex, bioRxiv/medRxiv preprints, and ClinicalTrials.gov.
PaperTrace is structured around PRISMA 2020 conventions, including flow diagrams, search strategy documentation, and narrative synthesis. AI-assisted reviews still require methodological transparency and independent author verification.
PaperTrace is researcher-in-the-loop software. Use it as a high-speed first pass, then verify AI-screened decisions, extracted fields, and source claims before publication.
Yes. Pro and above support multi-reviewer collaboration with project roles, blinded screening mode, and inter-rater agreement calculations.
Your research questions, papers, and extracted data are stored privately in your account and are never used to train AI models. Enterprise plans include additional data processing agreements.
