Opentext Core Capture |Bounce Back Technologies

OpenText™ Core Capture provides a simple, yet powerful, capture solution to automatically recognize documents based on simple templates and extract metadata. Core Capture automates content ingestion, speeding up information routing to the right users and systems in the organization.

Core Capture has helped many companies automate document processing and experience many benefits

OpenText Core Capture features

Multiple capture toolsets for high accuracy data extraction Defines document types and extracts text to understand the context and employ efficient processes with a multiengine approach that ensures documents are ready for use after capture.

Embedded machine learning Enhances the quality of keyword identification and document classification with machine learning algorithms for improved accuracy, reducing the need for users to fill in metadata.

Smart document classification Ensures new content is aligned with existing business processes to automate processes and secure documents. Uses multiple methods to classify both standard document types as well as free form boxes for unclassified documents.

Template designer Defines common captured documents to speed straight-through processing. Sets regional or global capture profiles to ensure regional differences in invoices, payslips and other document types are captured and the correct metadata is applied.



Core Capture benefits

Leverage a single platform across all departments and locations worldwide 

Support all users and processes, whether onboarding or Accounts Payable, in an easy-to-manage single solution.

Simplify compliance and access to documents

Automatically classify content, including paper and email attachments, as it enters the organization to ensure it is properly identified based on security and compliance tags, such as Personally-Identifying Information (PII), geo-location and contracts.

Reduces user burden for tedious tasks

Eliminate time-consuming tasks, such as entering metadata for captured content, automatically and at greater depth.


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