Literfy is an AI literature review generator that combines paper search with review writing in one workflow. A single query runs across Google Scholar, PubMed and Semantic Scholar, and Literfy generates the search expressions for you. Results can be filtered by year, venue and citation count, saved to a library and exported as BibTeX or PDFs. From the papers you save, it builds an outline and drafts review sections with linked citations, so every claim traces back to a real source rather than an invented reference.
Literfy fits people who write literature reviews as part of their work: PhD candidates preparing a thesis chapter, master's students facing a first systematic review, postdoctoral researchers drafting related-work sections, and oncology or social science researchers who need to scan a large body of papers quickly. Librarians who help others build search strategies can use the generated search expressions as a starting point. It also suits anyone who writes in LaTeX, since citations export in BibTeX form that drops into Overleaf.
A typical workflow starts with a research question typed into the search box. Literfy returns papers from three databases, and you shortlist the seminal ones. The outline builder then turns the shortlist into a section-by-section structure that you can edit and reorder by dragging. A full draft follows, with an introduction and thematic sections that cite the saved papers. Topic clusters help you spot gaps in your sources before peer review, and the export step sends references to reference managers or Overleaf. Teams preparing grant background sections or related-work chapters for conference papers use the same loop.
