Scholarcy

Overview Scholarcy is the AI paper summarizer built for the specific reality of research work — piles of PDFs, a deadline for a lit review, a supervisor who wants a synthesis by Friday, and a stack of dense methods papers you have to somehow triage before you can decide which ones to actually read. Founded in 2018 in the UK by Emma Warren Jones and Phil Gooch, Scholarcy sits at the intersection of "summarizer" and "structured extractor" — it does not just spit out a paragraph summary, it produces a structured summary card with the paper's contribution, methods, key findings, limitations, and (crucially) auto generated flashcards you can review or export. It is the tool grad students use when they have twenty papers to get through and three days to do it. What Scholarcy actually does, cleanly stated, is turn any research paper into a structured summary card in about 60 seconds. You upload a PDF (or paste a URL, or install the browser extension and click "summarize" on an open paper), and Scholarcy extracts the key claims, the methods used, the sample size and dataset, the results, the limitations, and the referenced works — and packages them into a card with sections you can scan in two minutes instead of two hours. The summary is anchored to the source, with direct excerpts pulled from the paper for the important passages so you can verify what the tool is telling you. The one line positioning: Scholarcy is the paper triage…