AI-to-Human Content Rewriter: Transform AI-Generated Text into Natural Writing

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Authors: Shweta Punde, Atharva Kamblee, Rhushikesh Bahad, Sujal Ashtankar, Namrata Nagpure
Cited by: 0

Abstract

Abstract—The AI-to-Human Content Rewriter uses natural language processing technology to convert artificial intelligence text into human-readable content while maintaining its original message. The content generated by artificial intelligence exhibits mechanical characteristics because it uses the same words repeatedly and maintains fixed patterns of speech and shows no emotional expression. The system evaluates text through three aspects which are readability and coherence and stylistic challenges, and it uses various methods including sentence restructuring and vocabulary changes and active voice transformation and contextual paraphrasing and tone adjustment to enhance understanding and authentic presentation of content. The system enables users to write in three different styles which are academic, professional and conversational. The system performance assessment uses two methods which include human evaluation and automated systems that measure vocabulary diversity and sentence complexity. This tool serves academic writing purposes and content creation needs and AI-assisted communication tasks, which require the creation of text that maintains engaging qualities while presenting original content in a humanlike manner. Keywords — NLP, LLM, Text Rewriting, Human-like Generation, Readability.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Text Readability and Simplification

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
02
Pages
1–9
Publication date
27 February 2026
Language
EN