Overview
The purpose of the Document Recognition & Data Capture Module is to automate the extraction, validation, and classification of data from documents using AI and OCR technologies. This module enhances data accuracy, reduces manual effort, and improves overall processing efficiency.
Features & Functionality
The system uses Optical Character Recognition (OCR) and AI to automatically convert, classify, and extract relevant data from scanned documents. It ensures data accuracy and consistency through validation and normalization processes, including Incoterms validation and field recognition with confidence scoring. The system also offers advanced document screening and filtering for improved data handling and streamlined workflows.
- OCR & AI-driven Recognition: Converts scanned documents into text and extracts key data fields using AI.
- Document Classification & Consistency Checking: Automatically classifies documents and validates data consistency across them.
- Data Validation & Normalization: Ensures accuracy and standardizes data formats for seamless processing.
Benefits
The system delivers significant benefits by automating repetitive tasks, improving data extraction accuracy through AI and OCR, and ensuring data consistency with validation and normalization. It scales efficiently to manage large volumes of documents while maintaining robust security measures to protect data privacy.
- Increased Efficiency: Automates tasks to reduce manual labor.
- Enhanced Accuracy: AI and OCR enhance precision in data extraction.
- Scalability & Security: Efficiently handles large document volumes while ensuring data security and privacy.
Summary
By integrating this module, organizations can significantly streamline their document processing workflows, leading to faster and more reliable data handling.
