Textlume an Open Source Based Keyword Driven Content Generation System

Dr. A.S.C Tejaswini Kone1*, Naidana Vamsi 2*

1Associate Professor, Visakha Institute of Engineering & Technology (Autonomous), Visakhapatnam, Andhra Pradesh, India

2 Pg Research Scholar, Department of Computer Applications, Visakha Institute of Engineering & Technology (Autonomous), Visakhapatnam, Andhra Pradesh, India

ABSTRACT :

Content creation is essential for blogs, websites, and digital marketing platforms, but manual content development can be time-consuming and resource-intensive. Textlume is an open-source based keyword-driven content generation system designed to automate and simplify the content creation process. The platform allows users to enter relevant keywords and automatically generates meaningful, well-structured, and contextually relevant articles.

The system is developed using React.js, TypeScript, and Tailwind CSS for the frontend, while Node.js, Express.js, REST APIs, Supabase, and PostgreSQL are used for backend services and data management. Textlume analyzes user-provided keywords, organizes information into logical sections, and produces readable content with appropriate headings and subheadings.

The generated output aligns with the input keywords, ensuring accuracy, readability, and consistency while significantly reducing the time required for manual content creation. Experimental results demonstrate that the system improves productivity and supports rapid content development for various digital applications. Textlume provides a scalable, user-friendly, and cost-effective solution for modern content generation, making it valuable for bloggers, businesses, and digital marketers.

KEYWORDS :

Content Generation, Keyword-Based Content Creation, Automated Article Writing, Open-Source Platform, Digital Marketing, Content Automation, Web Technologies, Text Generation, Productivity Enhancement