RTF to JSON Converter
This project involved building an efficient RTF to JSON converter to transform unstructured medical documents into structured, machine-readable JSON. Key features included font, color, and table extraction, multithreaded processing, and robust logging. The tool ensures accurate data mapping while improving speed and scalability. It aims to support digital record management in the healthcare domain.
Client
APT SKILLS
Service Provided
UI&UX Development, RTF to JSON Software
The Goal:
The goal of the internship was to gain practical experience in software development by contributing to a real-time project focused on converting RTF medical documents into structured JSON format. It aimed to enhance technical skills in Python, multithreading, data extraction, and documentation, while understanding the software development lifecycle and collaborative project workflows in a professional setting.
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The Challenge:
The primary challenge was accurately extracting and preserving complex formatting from RTF files, including fonts, colors, and tables, while converting them into clean, structured JSON. Ensuring consistency across diverse document structures, optimizing performance with multithreading, and handling exceptions reliably were key technical hurdles throughout the project.
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The Result
The project successfully delivered a reliable RTF to JSON conversion tool capable of handling complex formatting and large document sets with multithreaded efficiency. The final output ensured accurate data extraction, robust logging, and a user-friendly interface—laying the foundation for scalable integration in healthcare data systems.
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