Form Recognition and Data Extraction

The LuraDocument PDF Compressor with the Form Recognition Module allows organizations to save time and money by minimizing manual document processing such as sorting paper and data entry. Simple to use and requiring little implementation effort, this add-on module includes an intuitive Form Designer which makes it easy to set up flexible recognition and data extraction rules to process a wide variety of document types. Also included is a Form Validator client ensuring 100 percent accurate data extraction prior to import into back office systems. With this module organizations can:

  • Easily classify both structured and unstructured documents to avoid costly manual document sorting;
  • Streamline conversion and data extraction with the steadfast PDF Compressor, which includes the best-in-class ABBYY® FineReader OCR engine;
  • Redact certain portions of a documents content, for example, when processing files that contain sensitive information; (Click here for more about redaction.) and
  • Examine and correct extracted and redacted data for guaranteed accuracy.

Until now, the cost for document classification and data extraction automation has not been justifiable for many projects. But now organizations can justify replacing manual processes with LuraTech’s affordable form recognition solution for both complex and comparatively less complex projects.
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PDF Compressor with Form Recognition Module is extremely stable and easy to integrate since it is an add-on to the PDF Compressor. PDF Compressor customers can leverage their existing document compression and OCR conversion workflow by easily adding document classification and data extraction without introducing additional processes. New customers can create one fully integrated approach for all of their conversion requirements saving time and set-up costs. Furthermore, with enhanced features, such as free-form recognition, and flexible licensing models, customers benefit from quick ROI.

What is Free-Form Recognition?

Free-form recognition can identify and extract specific data elements even if they appear in different locations from document to document. This allows organizations to automate classification and extraction across semi-structured document types, such as invoices and EOB’s. With the free-form recognition capabilities, organizations can move beyond a template-based approach by:

  • Identifying data anywhere on the page as a result of more flexible recognition rules;
  • Reading lists even if they continue on to subsequent pages on multi-page documents, such as invoices; and
  • Locating correlating data fields, such as “street”, “city”, “state” and “zip code” for addresses.

How does it work? Click here for more about free-form recognition.

Request for Form Recognition Module

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Unstructured and Structured
Document Classification

Data Extraction

Validation of Extracted Data

Combine Extracted Values

Redaction

Multi-page Processing

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