Scholarcy tries to make reading faster. You give it an article or upload a PDF, and it breaks the document into a summary card with key points, the main findings, study design, limitations, and important terms. It extracts figures, tables, and references, and links the references so you can follow them. The format helps readers decide whether a paper is worth a full read.
A browser extension summarizes papers on publisher websites, and a library stores summaries with notes and tags. Export options send content to reference managers and note apps, and a feature can generate flashcards for study. Students and researchers use it to process large reading lists, create literature review notes, and check key details quickly.
Scholarcy has a free tier with limits and paid plans for more summaries and features. Automated summaries can miss nuance or misstate details, so for critical points you should consult the original. It works best on conventional research articles and less well on unusual formats. Alternatives include SciSpace, Elicit, Consensus, Semantic Scholar’s TLDRs, and general assistants like Claude or ChatGPT that can summarize uploaded PDFs. Scholarcy suits readers who want consistent, skimmable summaries.