Features

Metadata-Management

Advanced Data Extraction

Advanced Data Extraction 

Advanced Data Extraction automatically captures structured information from documents, reducing manual data entry and improving accuracy, processing speed and business automation. 

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Challenges

Understanding the business challenges this feature is designed to eliminate

Manual Data Entry Slows Operations

Extracting information from invoices, contracts, forms and other business documents manually is time-consuming, error-prone and increases operational costs.

Complex & Diverse Document Formats

Organizations receive documents in multiple layouts and formats, making consistent data extraction difficult using traditional OCR or manual processes.

Data Inaccuracies Affect Business Processes

Incorrect or incomplete data capture leads to processing delays, compliance risks and inefficient downstream workflows across enterprise systems.

KeY Capabilities

AI-Powered Data Extraction

Automatically extract critical business information such as invoice numbers, customer details, purchase order numbers, contract values and dates with high accuracy.

Intelligent Document Understanding

Interpret structured, semi-structured and unstructured documents using AI and IDP, eliminating the need for fixed templates.

Multi-Format Document Processing

Capture data from scanned documents, PDFs, images, emails and digital forms, ensuring seamless processing across diverse document types.

Automated Data Validation

Validate extracted information against business rules, master data or enterprise applications to improve data accuracy and reduce manual verification.

Enterprise Workflow Integration

Transfer extracted data directly into ERP, CRM, HRMS or workflow automation systems, accelerating business processes and reducing manual intervention.

Structure your documents with custom metadata for faster search and smarter control.

Use Cases

Solutions Across Departments

Centralized employee records for compliance and lifecycle management

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Employee Code for unique employee identification
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Joining Date to track tenure and eligibility
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Policy Version to manage compliance and updates
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Appraisal Cycle for performance review timelines
Centralized employee records for compliance and lifecycle management

Structured financial data for audits and regulatory readiness.

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Loan Number for account level tracking
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Customer ID to link financial records
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Invoice Date for billing and reconciliation
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PO Number for procurement validation
Structured financial data for audits and regulatory readiness.

Organized contracts for visibility, risk control and renewals.

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Contract Type to classify agreements
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Counterparty Name for stakeholder identification
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Renewal Date to avoid missed obligations
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Risk Category for compliance and exposure tracking
Organized contracts for visibility, risk control and renewals.

Project documents streamlined for governance and compliance.

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Project ID for centralized project documentation
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RERA Number to ensure regulatory compliance
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Unit Code for asset-level reference
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Approval Authority for governance and control
Project documents streamlined for governance and compliance.

FAQ’s

Frequently Asked Questions

Can I create different sets of metadata for different document types?

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Yes. You can define metadata templates based on document categories (e.g., invoices, contracts, employee forms).

What metadata field types are supported?

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Text fields, dropdowns, dates, checkboxes, numbers, radio buttons, multi-select fields and more.

Can metadata be made mandatory for document uploads?

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Absolutely. You can configure rules that enforce metadata completion before document submission.

Can users edit metadata later?

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With proper role-based access, metadata fields can be edited, versioned and audited.

Unlock the Future of Document Management

Discover a new era of efficiency, where powerful features and intuitive design work together to elevate your file management experience.

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