Intelligent Data Extraction

Intelligent Data Extraction enables quick extraction of critical data from paper and digital documents to streamline your content-driven processes, reduce errors, and enhance operational efficiency. Aggregate documents from disparate sources, make them legible, and intelligently extract data precisely while continuously improving extraction accuracy. Intelligent Data Extraction enables data extraction and redaction from identity documents using artificial intelligence and machine learning (AI/ML).

Features

• Automated Intelligent Data Extraction and Verification - Pre-trained and trainable models for invoices with the ability to build new models based on business requirements - Automated interfaces for quick and accurate intelligent data extraction and verification - Real-time and error-free data for informed decision-making - Support for multiple extraction technologies, such as ICR, OMR, OCR, barcode, and MICR
• Intelligent Image Processing and Data Formatting - Automatic detection and correction of image distortions, enablingreal-time quality improvements in single or multi-page scanned documents - Validation of extracted data and post-extraction formatting - Historical data analysis for better extraction accuracy
• Intelligent Document Definition - AI/ML model for creating extraction template definition easily - Low code capability to define document types with varied layouts - Pre-configured document types from various verticals for quicker implementation - Concurrent multi-user support for collaborative definition creation
• Reports and Visualization - Intelligent Data Extraction enables Contextual reports and dashboards to gain insights into various accuracy levels - Image-assisted output analysis, with real-time monitoring of extraction throughput and accuracy trends - User activity logs to track all changes made in any module
• Identity Document Recognition, Extraction, and Redaction - Identification of entities based on name, date of birth, ID number, etc., and classification of recognized entities - Support for identifying, locating, deciphering, and extracting QR codes and MRZ in identity documents - Extraction of textual entities using OCR after processing the identity document image - Redaction of classified entities to hide personal identifiable information
• Confidence Levels and Customized Models - Accuracy measurement of entity identification and extraction through localization and OCR confidence percentages - Intelligent Data Extraction capability enables creation of use case-specific analytics models with a collection of samples