NewgenONE platform
Transforming Unstructured Data into Organized, AI-ready Context across Enterprise-wide Documents
Extract structured data from any document type automatically using AI and ML. Convert the unstructured content into AI-ready, contextual layer for the Content ORB. Orchestrate workflows, decisioning agents, and downstream enterprise applications with trusted, structured intelligence.
Intelligent Data Extraction enables enterprises to rapidly extract critical data from paper-based and digital documents, streamlining content-driven, high-volume business processes while reducing errors and operational risk. It aggregates documents from disparate enterprise systems, enhances legibility, and applies AI-driven intelligence to accurately extract and redact data. Powered by artificial intelligence and machine learning (AI/ML), the solution continuously learns from real-world variations and exceptions, delivering scalable, compliant, and high-accuracy data extraction across identity documents and complex document types.
Why Should Businesses Choose NewgenONE platform for Intelligent Data Extraction?
Automated Intelligent Data Extraction and Verification
Intelligent Image Processing and Data Formatting
Intelligent Document Definition
Reports and Visualization
Identity Document Recognition, Extraction, and Redaction
Confidence Levels and Customized Models
Automated Intelligent Data Extraction and Verification
- AI & GenAI-powered Models: Pre-trained and trainable models for invoices with dynamic refinement to meet evolving business needs.
- Automated Data Extraction & Verification: Intelligent interfaces for quick, accurate, and automated data capture and validation.
- Real-Time, Error-Free Insights: Deliver accurate, verified data instantly for informed decision-making.
- Multi-Technology Support: Advanced extraction capabilities including ICR (Intelligent Character Recognition), OMR (Optical Mark Recognition), OCR (Optical Character Recognition), barcode, and MICR.
Intelligent Image Processing and Data Formatting
- Automatic Image Quality Enhancement: Detect and correct distortions in real-time for single or multi-page scanned documents, ensuring superior image quality.
- Data Validation & Post-Extraction Formatting: Verify extracted data and apply accurate formatting for consistent, reliable outputs.
- Historical Data Analysis for Accuracy: Leverage past data trends to improve extraction precision and reduce errors.
Intelligent Document Definition
- AI/ML-Powered Template Creation: Easily create extraction templates using advanced AI and machine learning models.
- Low-Code Document Type Configuration: Define document types with varied layouts quickly using intuitive low-code capabilities.
- Pre-Configured Document Types: Accelerate implementation with ready-to-use templates from multiple industry verticals.
- Collaborative Multi-User Support: Enable concurrent users to work together for faster deployment.
Reports and Visualization
- Contextual Reports and Dashboards: Gain actionable insights into extraction accuracy levels with context-aware analytics, customizable dashboards, and drill-down reporting.
- Real-Time, Image-Assisted Output Analysis: Monitor extraction throughput and accuracy trends in real time with image-assisted review, enabling faster exception handling and higher data quality.
- AI-Powered Activity Logs & Audit Trail: Track and analyze all user actions across modules with AI-driven audit logs for full transparency, compliance, and audit readiness.
Identity Document Recognition, Extraction, and Redaction
- AI-driven Entity Identification and Classification:: Identify and classify key identity attributes such as names, dates of birth, and ID numbers using AI-powered recognition.
- QR Code and MRZ Detection: Detect and extract data from QR codes and Machine Readable Zones (MRZ) in identity documents for reliable verification.
- OCR-based Text Extraction: Extract textual entities accurately using advanced OCR with image pre-processing, even from low-quality images.
- AI-powered Automated Redaction: Automatically mask personally identifiable information (PII) using AI-driven redaction.
Confidence Levels and Customized Models
- Extraction Accuracy and Confidence Scoring: Measure and validate entity identification and data extraction accuracy using localization confidence and OCR confidence percentages for greater transparency and control.
- Use Case–specific AI Models: Enable enterprises to create customized, use case–specific intelligent data extraction models using curated document samples, continuously improving accuracy and performance at scale.
Automated Intelligent Data Extraction and Verification
- AI & GenAI-powered Models: Pre-trained and trainable models for invoices with dynamic refinement to meet evolving business needs.
- Automated Data Extraction & Verification: Intelligent interfaces for quick, accurate, and automated data capture and validation.
- Real-Time, Error-Free Insights: Deliver accurate, verified data instantly for informed decision-making.
- Multi-Technology Support: Advanced extraction capabilities including ICR (Intelligent Character Recognition), OMR (Optical Mark Recognition), OCR (Optical Character Recognition), barcode, and MICR.
Intelligent Image Processing and Data Formatting
- Automatic Image Quality Enhancement: Detect and correct distortions in real-time for single or multi-page scanned documents, ensuring superior image quality.
- Data Validation & Post-Extraction Formatting: Verify extracted data and apply accurate formatting for consistent, reliable outputs.
- Historical Data Analysis for Accuracy: Leverage past data trends to improve extraction precision and reduce errors.
Intelligent Document Definition
- AI/ML-Powered Template Creation: Easily create extraction templates using advanced AI and machine learning models.
- Low-Code Document Type Configuration: Define document types with varied layouts quickly using intuitive low-code capabilities.
- Pre-Configured Document Types: Accelerate implementation with ready-to-use templates from multiple industry verticals.
- Collaborative Multi-User Support: Enable concurrent users to work together for faster deployment.
Reports and Visualization
- Contextual Reports and Dashboards: Gain actionable insights into extraction accuracy levels with context-aware analytics, customizable dashboards, and drill-down reporting.
- Real-Time, Image-Assisted Output Analysis: Monitor extraction throughput and accuracy trends in real time with image-assisted review, enabling faster exception handling and higher data quality.
- AI-Powered Activity Logs & Audit Trail: Track and analyze all user actions across modules with AI-driven audit logs for full transparency, compliance, and audit readiness.
Identity Document Recognition, Extraction, and Redaction
- AI-driven Entity Identification and Classification:: Identify and classify key identity attributes such as names, dates of birth, and ID numbers using AI-powered recognition.
- QR Code and MRZ Detection: Detect and extract data from QR codes and Machine Readable Zones (MRZ) in identity documents for reliable verification.
- OCR-based Text Extraction: Extract textual entities accurately using advanced OCR with image pre-processing, even from low-quality images.
- AI-powered Automated Redaction: Automatically mask personally identifiable information (PII) using AI-driven redaction.
Confidence Levels and Customized Models
- Extraction Accuracy and Confidence Scoring: Measure and validate entity identification and data extraction accuracy using localization confidence and OCR confidence percentages for greater transparency and control.
- Use Case–specific AI Models: Enable enterprises to create customized, use case–specific intelligent data extraction models using curated document samples, continuously improving accuracy and performance at scale.
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Contextual Content Services Capabilities of NewgenONE Platform
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