Structured Data Capture is the process of collecting and extracting information in a predefined and organized format so that it can be stored, processed and analyzed efficiently. The captured data follows a consistent structure such as fields, tables or forms, making it easier to validate, search and integrate with business applications.
In the context of a Document Management System (DMS), Structured Data Capture refers to the extraction and capture of predefined data fields from documents such as invoices, forms, purchase orders and applications. A DMS uses technologies such as Optical Character Recognition (OCR), Intelligent Document Processing (IDP) and document classification to capture structured information automatically and store it as metadata or business data for retrieval, workflow automation and integration with enterprise systems.
Structured Data Capture enables organizations to collect and manage information in a consistent and organized format. Within a Document Management System, it automates the extraction of key data from business documents, improves data accuracy, supports workflow automation and enhances the accessibility and usability of business information.
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