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AI-BASED PDF TRANSLATOR
R. Rajesh P. Ashok M. sai krishna
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Plagiarism Passed
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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.
How to Cite this Paper
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Rajesh, R., et al.. "AI-Based PDF Translator." International Journal of Creative and Open Research in Engineering and Management, vol. , no. , , pp. . doi:https://doi.org/10.55041/ijcope.v2i2.164.
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Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Feb 20 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.