Auto-classify documents based on characteristics—structural, textual, or both—to streamline your content management operations. Leverage machine learning and artificial intelligence-based technologies to enable layout-, object-, and content-based classification. Enable access to contextual information to ensure smarter decision-making, improved productivity, and better customer experience.

Content Classification Capabilities of NewgenONE

Document Identification and Organization

Identification of document type and processing of high volume of structured, semi-structured, and unstructured documents

Automated organization, sequencing, and classification of documents, to eliminate labor-intensive, manual processes

Layout, Object, and Content-based Classification

Layout and object-based classification to classify structured documents based on visual patterns, logos, symbols, and more

Content-based classification to classify semi-structured and unstructured documents by inspecting important keywords in the text and identifying relationships between them

Machine Learning based Classification

Trainable, machine learning technology for continuous improvement of classification accuracy

Dedicated model training tool, to easily create, train, and deploy new classification models

Streamlined Service Request Processing

Classification and grouping of customers’ documents for faster processing of service requests

Easy integration with core business applications, content management platforms, and document capture applications

Smart Document Capture Tools

Elimination of manual segregation through separator pages

Automatic classification of documents imported in bulk

Data Confidentiality and Compliance

Classification of documents while adhering to confidentiality and compliance requirements, including HIPAA, PCI DSS, and GDPR

Management of litigation documents by specifically classifying for eDiscovery, legal hold, legal investigations, and other cases

Contextual Content Services Capabilities of NewgenONE Platform

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