SummarizePaper

SummarizePaper is a web tool built specifically for arXiv preprints. It generates concise, AI-produced summaries of scientific papers across fields such as artificial intelligence, physics, and machine learning, pulling out key findings and a plain-language explanation of what each paper covers. Beyond static summaries, the site includes a chat interface that lets users ask questions about one or several papers in natural language, and a search system that supports filtering by author, title, category, or arXiv ID with boolean operators (AND, OR, ANDNOT). The project's source code is published on GitHub, which sets it apart from most summarizer tools that keep their pipeline closed. It is aimed at researchers, students, and journalists who need to keep up with a high volume of arXiv output without reading every paper in full. Because the tool is scoped to arXiv specifically, it does not cover papers published only in traditional journals or behind other preprint servers, and no pricing or API details were stated on the site.