Intelligent Document Understanding

RankSaga Intelligent Document Understanding

Boost productivity with automated discovery of information and insights.
Transform your business with advanced Natural Language Processing and Understanding that means faster business results, satisfied customers, and happier employees.

Smart Document Understanding

Deploy intelligent document understanding that learns your document structure through visual machine learning. Our Smart Document Understanding (SDU) tool enables you to label text so the system builds an understanding of critical components inside your enterprise documents, such as headers, tables, and more. Once you annotate a few pages, SDU teaches itself the rest, retrieving answers and information only from relevant content.

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Advanced OCR & Text Extraction

Extract insights from images and documents with high accuracy OCR technology. Our advanced OCR provides higher character accuracy and detection recall, giving you greater extraction of key insights from documents in sub-optimal conditions such as irregular fonts, insufficient resolution, bad lighting from mobile capture, and even variety of colors and backgrounds. Convert images of text into actionable insights automatically.

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Faceted Search & Intelligent Navigation

Move beyond keyword search to navigate confidently through your documents using faceted search to find the relevant information needed. Traditional enterprise search engines perform keyword searches and provide end-users with links to documentation. With RankSaga Intelligent Document Understanding, you get intelligent navigation through your data to discover insights. The platform ensures information is easily accessible and can push to downstream automation via JSON output.

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How It Works

Deploy Intelligent Document Understanding in Three Simple Steps

Transform your document processing workflows with intelligent AI.
From initial setup to full deployment, our streamlined process gets your document understanding solution running quickly and efficiently.

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Document Upload & Configuration

Upload your documents and configure document types using our intuitive interface. Define document schemas, set up custom fields, and configure extraction rules. Our Smart Document Understanding (SDU) tool guides you through labeling document structures such as headers, tables, paragraphs, and more. Set up your document understanding pipeline in minutes with pre-built templates for common document types or custom configurations tailored to your specific use case.

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AI Processing & Enrichment

Let our advanced AI process and enrich your documents with NLP capabilities. The system performs OCR extraction, entity recognition, sentiment analysis, keyword extraction, category classification, and concept tagging. Large language models analyze your documents to extract insights, relationships, and metadata. Domain-specific entity recognition learns your custom entity types through active learning techniques. All processing happens automatically with configurable enrichment pipelines.

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Search, Navigation & Integration

Search and navigate through your enriched documents using faceted search, semantic search, and intelligent filters. Access insights through our intuitive interface or integrate with downstream systems via RESTful APIs and JSON output. Monitor document processing metrics, extraction quality, and system performance through comprehensive analytics dashboards. Receive alerts for processing issues or anomalies. Continuously improve extraction accuracy based on feedback and active learning.

Core Capabilities

Enterprise Document Understanding Platform: Intelligent NLP & OCR

Built for enterprises seeking intelligent document processing and understanding.
Our platform combines advanced OCR, NLP enrichments, smart document understanding, and large language models for enterprise-grade document analysis solutions.

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Smart Document Understanding with Visual ML

Deploy production-ready document understanding with visual machine learning capabilities. Our Smart Document Understanding (SDU) tool enables you to label text visually so the system builds an understanding of critical components inside your enterprise documents. Once you annotate a few pages, SDU teaches itself the rest, retrieving answers and information only from relevant content. Support for headers, tables, paragraphs, lists, and custom document structures.

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Visual Document Labeling

Intuitive visual interface for labeling document structures. Label text components to train the system to understand your document layouts and extract information from the right sections automatically.

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Automated Structure Learning

After initial labeling, the system learns document structures automatically. The ML model generalizes from your annotations to process similar documents without additional labeling, saving time and effort.

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Advanced NLP Enrichments & LLM Integration

Comprehensive NLP enrichments powered by large language models for advanced text understanding. Extract entities, analyze sentiment, detect emotions, extract keywords, classify categories, and tag concepts automatically. Foundation models enable accurate extraction of information and insights from business documents, accelerating processes and generating actionable intelligence.

  • Entity Extraction & Recognition

    Extract entities such as people, organizations, locations, dates, and custom domain-specific entities. Support for out-of-the-box entities and custom entity types with active learning for improved accuracy over time.

  • Sentiment & Emotion Analysis

    Analyze sentiment and emotions in your documents to understand customer feedback, support tickets, reviews, and other text content. Gain insights into customer satisfaction and sentiment trends across your document corpus.

  • Large Language Model Integration

    Leverage foundation models for advanced processing and understanding of text. LLMs enable accurate extraction of information and insights from business documents, accelerating processes and generating intelligent summaries and analyses.

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Why Choose RankSaga

RankSaga Intelligent Document Understanding vs. Competitors

Compare RankSaga Intelligent Document Understanding with leading solutions.
See how our enterprise-grade platform delivers superior NLP enrichments, smart document understanding, and comprehensive document analysis.

FeatureRankSaga Agentic AIAlternative SolutionOther Platform
Smart Document UnderstandingVisual ML tool for document structure with automated learningManual document parsing onlyLimited structure recognition
OCR AccuracyHigh character accuracy with sub-optimal condition supportBasic OCR capabilitiesLimited image quality tolerance
NLP EnrichmentsComprehensive enrichments including entities, sentiment, emotions, keywords, categoriesBasic keyword extraction onlyLimited NLP capabilities
Faceted Search & NavigationAdvanced faceted search beyond keyword matching with semantic understandingKeyword search onlyBasic search functionality
Large Language ModelsFoundation models for advanced text understanding and insight generationNo LLM integrationLimited AI capabilities
Domain-Specific EntitiesCustom entity recognition with active learning and iterative trainingFixed entity types onlyLimited customization options
API IntegrationRESTful APIs with JSON output for downstream automationLimited API accessBasic integration options
Pricing ModelFlexible enterprise pricing with usage-based optionsFixed pricing tiersHigh upfront costs

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FAQ

Frequently Asked Questions About Intelligent Document Understanding

Get answers to common questions about RankSaga Intelligent Document Understanding.
Learn about document processing, NLP capabilities, OCR accuracy, and more.

Intelligent Document Understanding goes beyond traditional OCR by combining advanced optical character recognition with Natural Language Processing and Understanding. While traditional OCR simply extracts text from images, our solution extracts text and then enriches it with entity extraction, sentiment analysis, keyword extraction, categorization, and semantic understanding. Smart Document Understanding (SDU) learns your document structures to extract information from relevant sections, and large language models provide deeper context and insights from your documents. The result is not just readable text, but actionable intelligence and structured data from unstructured documents.
Smart Document Understanding is a visual machine learning tool that enables you to label text components in your documents, such as headers, tables, paragraphs, and lists. By annotating a few pages of your documents, the system learns the structure and layout patterns. The ML model then generalizes this learning to automatically identify and extract information from similar documents without requiring additional labeling. This means you can process large volumes of documents efficiently while maintaining high accuracy. SDU understands document structure contextually, so it extracts answers and information only from relevant content sections, improving precision and reducing noise.
RankSaga Intelligent Document Understanding can process a wide variety of document types including PDFs, scanned images, Word documents, PowerPoint presentations, Excel spreadsheets, HTML pages, plain text files, and more. Our advanced OCR handles documents in various conditions including irregular fonts, low resolution, poor lighting from mobile captures, colored backgrounds, and mixed formats. The system supports structured documents like forms and invoices, semi-structured documents like reports and contracts, and unstructured documents like emails and articles. Smart Document Understanding can learn to handle custom document types specific to your industry or use case.
Our platform offers comprehensive NLP enrichments including entity extraction (people, organizations, locations, dates, and custom entities), sentiment analysis, emotion analysis, keyword extraction, category classification, concept tagging, semantic role labeling, and relationship extraction. Large language models provide advanced text understanding, summarization, and insight generation. You can configure which enrichments to apply to your documents based on your specific needs. Domain-specific entity recognition allows you to define custom entity types and train models to recognize them using active learning techniques, improving accuracy over time through iterative annotation and training.
Our advanced OCR technology provides high character accuracy and detection recall, even in sub-optimal conditions. The system handles irregular fonts, insufficient resolution, bad lighting from mobile capture, and variety of colors and backgrounds. OCR accuracy varies based on document quality, but typically achieves 95%+ accuracy for high-quality documents and maintains strong performance even with challenging inputs. Smart Document Understanding improves extraction accuracy by focusing on relevant content sections. Active learning and feedback loops continuously improve accuracy over time as the system processes more documents and receives corrections or confirmations from users.
Yes, RankSaga Intelligent Document Understanding provides comprehensive integration capabilities through RESTful APIs, webhooks, and SDKs. The system can integrate with document management systems like SharePoint, Google Drive, Box, and Dropbox; ECM platforms like Documentum and FileNet; cloud storage like AWS S3, Azure Blob, and GCP Storage; and other systems via standard APIs. Documents can be automatically processed as they are uploaded, and extracted insights can be synced back to your systems. JSON output format ensures easy integration with downstream automation and workflows. Pre-built connectors are available for popular platforms, and custom integrations can be developed for specific requirements.
Faceted search goes beyond simple keyword matching by allowing you to filter and navigate documents using multiple dimensions simultaneously. Instead of just searching for text matches, you can filter by extracted entities (e.g., find documents mentioning a specific company), categories, sentiment, dates, document types, and other metadata. Semantic search understands meaning and context, not just exact word matches. This enables you to discover relevant information even when documents don't contain your exact search terms. The system provides intelligent navigation through your document corpus, helping you find insights efficiently rather than just listing documents that contain keywords. Results can be filtered, sorted, and refined using multiple facets for precise information discovery.
RankSaga Intelligent Document Understanding offers flexible enterprise pricing based on your usage and requirements. Pricing factors include the number of documents processed, API calls, storage requirements, and the complexity of NLP enrichments applied. We offer both usage-based pricing for variable workloads and fixed pricing tiers for predictable usage patterns. Enterprise customers can benefit from custom pricing agreements that include dedicated support, SLA guarantees, volume discounts, and professional services. Contact our sales team for a customized quote based on your specific document volumes, use cases, and integration requirements.
RankSaga Intelligent Document Understanding includes enterprise-grade security features including encryption in transit and at rest, role-based access control, audit trails for all document processing activities, and compliance monitoring. The system supports integration with your existing security infrastructure including SSO, VPN, and enterprise firewalls. Data residency options allow you to keep documents and processing within specific geographic regions. The platform can be configured to comply with GDPR, HIPAA, SOC 2, and other regulatory requirements. All document access and processing activities are logged for security auditing. You maintain full control over your data, and documents can be automatically deleted after processing if required by your data retention policies.
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