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Data capture and document indexing

Computer data storage concept. Filing cabinet on a laptop screen. 3d illustration

Professional data capture and document indexing

Document indexing helps you organize and store documents for search purposes or later retrieval, by associating certain information with a specific file or scanned document. Documents are indexed by metadata attached to the document such as a unique identifier, date of scanning/creation, customer ID, etc.

Information capture allows you to capture both images and data from content.

After capture and indexing, data is validated through database lookup, regular expressions, direct integration to other systems, and more.

Optical Mark Recognition – electronic method of capturing human-marked data from document forms (specific characters, check marks, etc.).

Optical Character Recognition – electronic method of identifying text within a scanned document.

Intelligent Character Recognition and  Intelligent Word Recognition – an advanced system that recognizes words, handwritten phrases and different handwriting types from a scanned document.

Intelligent Document Recognition – an advanced recognition system that identifies the type of document scanned (official papers, tax documents, etc.).

Professional data capture and document indexing procedure includes:

  1. Scanning paper documents or importing electronic files.
  2. Data indexing and extracting important information (such as client ID, name, address, etc.) using latest automation technologies – OMR, OCR, ICR, IWR, IDR.
  3. Information validation and verification.
  4. Export to a specific storage repository.