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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1332 - 1335 | India
Truetext: AI-Based Text Detection and Humanization System
Abstract: TrueText is an AI-based system designed to detect machine-generated content and convert it into human-like text. With the rapid growth of AI-generated content, ensuring originality and authenticity has become a major challenge in academic and professional domains. The proposed system integrates natural language processing and machine learning techniques to identify AI-generated patterns and transform them into more natural and human-readable content. TrueText includes modules such as AI text detection, plagiarism checking, and humanization. Developed using Python, Django, and transformer-based models such as BERT, the system improves content quality, readability, and authenticity while assisting users in producing more natural text outputs.
Keywords: AI Text Detection, Humanization, NLP, BERT, Plagiarism Detection, Machine Learning
How to Cite?: Abida Pareethukannu, Jogimol Joseph, "Truetext: AI-Based Text Detection and Humanization System", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1332-1335, https://www.ijsr.net/getabstract.php?paperid=MR26419205902, DOI: https://dx.doi.org/10.21275/MR26419205902