Automated Document Processing

Client: Financial Services Provider

enterprise

Overview

This project automated the extraction and processing of information from diverse financial documents to improve accuracy and speed for a financial services firm.

Challenges

Manual data entry was time-consuming, error-prone, and expensive. The firm needed to process thousands of documents daily.

Solution

Developed an AI-driven system using OCR and NLP to extract, validate, and classify data from invoices, contracts, and reports, integrating with existing database systems.

Results

Achieved 90% reduction in manual data entry, improved data accuracy by 99%, and accelerated document processing times by 5x.

Technologies Used

PythonOpenCVTesseract OCRAWS TextractUiPath