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AI-Based PDF Translator

Authors:

1. Rajesh*¹, P. Ashok *², M. sai krishna*³

*¹ Assistant Professor of the Department of CSE (AI & ML) of ACE Engineering College, India.

*^2,3 Students of Department of CSE (AI & ML) of ACE Engineering College, India.

ABSTRACT: Automated document translation plays a critical role in overcoming language barriers and facilitating seamless communication across global industries. This project harnesses the power of Natural Language Processing (NLP) and Optical Character Recognition (OCR) to extract, translate, and reconstruct text from PDF documents while preserving their original layout and formatting. By utilizing Transformer-based models such as GPT and the Google Translate API, alongside robust text extraction tools, the system delivers accurate and efficient multilingual translations. The methodology incorporates Python libraries including PyMuPDF, pdfplumber, Tesseract-OCR, and the OpenAI API to manage text recognition, translation, and reformatting processes. This AI-driven solution aims to enhance accessibility, foster global collaboration, and streamline multilingual document workflows across diverse sectors.

Keywords: PDF Translation, Natural Language Processing (NLP), Optical Character Recognition (OCR), Transformer Models, Multilingual Document Processing.