Our system worked on analyzing the big data and based on needs the system will separate the documents.
Our system employed advanced optical character recognition (OCR) algorithms to analyze PDF documents and extract text from them. It effectively recognized and interpreted various fonts, layouts, and formatting styles, ensuring accurate data extraction.
Using sophisticated text mining techniques, the system identified and extracted relevant data points from the PDF documents. It intelligently recognized and categorized information such as policy numbers, customer details, claims data, and financial figures, among others.
The extracted data was then organized into a structured format suitable for Excel spreadsheets. Our system employed intelligent algorithms to ensure consistency, accuracy, and appropriate data formatting in the converted Excel files.
To guarantee the accuracy and reliability of the converted data, our solution incorporated robust quality assurance mechanisms. It included data validation checks, error handling, and reconciliation processes to identify and rectify any discrepancies or anomalies during the conversion process.
Our AI-based data conversion solution offered several key features that set it apart from traditional manual conversion methods:
Efficiency and time savings
Accuracy and precision
Scalability and flexibility
Track extracted pdf file details through Interactive Dashboard from Admin Panel.