Ruixin Paper Detection is an academic-integrity screening system for students, instructors, and institutional administrators reviewing papers or coursework for generated-content risks. It examines both written material and academic imagery: the text workflow locates passages associated with AI-generated writing, while the image workflow looks for generation or manipulation signals in experimental images, charts, and statistical graphics. Its described input range includes DOCX and PDF documents as well as JPG images, including material that combines text and figures.
Results are presented through a risk report containing an overall indicator, a risk level, localized passages, and revision guidance instead of a simple pass-or-fail label. An instructor workflow supports batch submission of multiple papers or assignments, while an administrative interface aggregates information for institution-level review; progress and reports may also be accessed through the website and a linked WeChat mini program. The output is a screening signal rather than a final finding of misconduct, so disciplinary, publication, and formal review decisions still require examination of the source material, citation practices, and relevant human judgment.