ArthiX – A Language Agnostic System for Real-Time Text, Speech, and Programming Code Translation

Abstract

The rapid expansion of global communication and collaborative software development has intensified the need for translation systems that can operate across linguistic and technical boundaries. Existing translators primarily focus on human languages and often fail to address challenges related to voice interaction, offline usage, and programming language understanding. This paper presents ArthiX, a language-agnostic translation system designed to support real-time text and speech translation with automatic language detection, local history storage, and offline capabilities. In addition to natural language translation, the system introduces logical translation of programming code across different languages, followed by real-time compilation to validate correctness. ArthiX is implemented as a desktop application using Python-based Natural Language Processing techniques and speech processing libraries. Experimental evaluation demonstrates that the system provides accurate translations, responsive performance, and improved usability compared to conventional translators. The proposed approach highlights the potential of unified translation platforms in education, software development, and multilingual communication.