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Overview
This project leverages advanced image processing techniques to extract text from multiple PDF files and generate customizable tables with a cell structure. The intuitive interface allows users to effortlessly add, delete, or modify cells and their structures, tailored for seamless data organization. The designed border-less cell structure ensures smooth data transfer. Users can export cells to Excel or JSON format for further analysis. The aim is to offer an intuitive solution for efficient data management from PDFs.
Challenges
Language Barrier:
- Many comic fans worldwide can’t fully enjoy graphic novels due to language barriers, limiting global accessibility and engagement.
Inconvenient Reading:
- Physical comics are impractical during commutes or travels, and existing digital platforms might not offer optimal mobile reading experiences.
Text Extraction Difficulty:
- Extracting text from comics is challenging due to irregular placement and artistic elements, hampering features like translation.
Reactivity:
- Healthcare often addresses issues after they’ve emerged, lacking preventive measures.
Solution
Multilingual Translation:
- Our iOS/Android app lets users read graphic novels in their preferred languages. OCR technology translates comic text, overcoming language barriers.
Optimized Mobile Reading:
- Our app offers a smooth mobile reading experience, optimized for iOS and Android devices, ensuring comics can be enjoyed on the go.
Accurate OCR:
- Employing advanced OCR engines and a deep learning segmentation pipeline, our solution accurately extracts comic text for seamless features like translation and search.
Development Process
Research
Planning
Designing
Development
Maintenance
Tools/Technologies
