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).

Intelligent Data Extraction Capabilities of NewgenONE Platform

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

Contextual Content Services Capabilities of NewgenONE Platform

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