Generative AI-based translation tools suite

Abstract

This project presents the design and development of an intelligent document translation and preview system capable of handling multi-format files including Word, Excel, text, and images. The system integrates Optical Character Recognition (OCR), automated translation, and interactive preview functionalities within a unified interface. A dynamic tab-based architecture allows users to manage multiple translation sessions simultaneously, with real-time state management ensuring synchronization between the client and server. The system leverages modern large language models (LLMs), such as the Gemini API, to perform context-aware translations. To enhance efficiency, the backend implements asynchronous batching and batched API calls, minimizing latency during large-scale translation tasks. The chat assistant module provides contextual editing support and instruction-based translation refinement, allowing users to iteratively improve outputs without manual re-uploading. Advanced preview mechanisms have been implemented for each file type: formatted text display for Word, table parsing for Excel, OCR-based text extraction and alignment for images, and editable text containers for plain files. Together, these modules form a cohesive, scalable, and extensible framework for intelligent multilingual document processing. The result is a technically robust system that demonstrates a practical balance between automation, user control, and performance optimization