Published Paper Details:

With growing interdependence among countries, there is an acute need for cross-lingual communication to bring people together around the globe. This paper presents the design and testing of an automated multilingual document translation system built entirely within UiPath Studio, a leading Robotic Process Automation (RPA) platform, without relying on external translation APIs. The proposed architecture combines UiPath's Document Understanding, Optical Character Recognition, and native automation activities to read, extract, and translate text from multilingual documents while preserving structure and formatting. Eliminating third-party API dependence yields faster processing, more uniform translation quality, and stronger data privacy. Following an applied, experimental research design, the workflow was tested across Hindi, Marathi, French, Tamil, and Telugu. Results indicate that translation tasks can be automated with minimal human intervention while retaining document structure and reasonable accuracy, and that the resulting interface is usable by both technical and non-technical users. The findings position UiPath as a secure, scalable, and cost-effective tool for automated multilingual document translation, and as a viable contributor to bridging language barriers in the digital era.