SAN JOSE, Calif. — LuraTech today announced the release of the latest version of its industry leading document conversion solution. LuraDocument(R) PDF Compressor 5.3 has been enhanced with a number of new features, such as free-form recognition and the ability to convert born digital documents to PDF/A for long-term archival. With the addition of these capabilities, PDF Compressor 5.3 provides users – from individuals to the largest document scanning service providers – with a comprehensive solution that can handle all their document conversion needs.
“Our PDF Compressor 5.3 now represents a complete conversion solution covering the entire conversion process between digital document creation to delivery and long-term archiving. It now can classify scanned documents, extract structured information, compress, and output to full-text searchable PDF and PDF/A files,” said Mark McKinney, president of LuraTech. “Also it is easy-to-implement and use giving small to mid-sized organizations a cost-effective alternative to legacy conversion software, which require a lot of time, expense and custom programming to deploy.”
Key features of the LuraDocument PDF Compressor 5.3 include:
* Free-Form Recognition – With an improved Form Recognition Module that has been expanded to include free-form recognition, users can eliminate many manual processes, including pre-sorting, and supports streamlined conversion of complex, multi-page documents. Moving beyond a solely template-based approach, the optional Form Recognition Module can identify and sort a wide variety of documents, such as invoices; read and extract the appropriate information from the documents; and then prepare this information for input into other applications, such as merchandise management or enterprise resource planning (ERP) systems.
* Born Digital Module – This optional module is designed to convert digital documents – such as Microsoft Office, Outlook e-mail and born digital PDFs – into PDF/A format for long-term archiving. The Born Digital module enables users to easily batch process digital files, in the same way that scanned paper documents can be processed with the PDF Compressor 5.3.
Both the Born Digital Module and Form Recognition Module are optional features to the PDF Compressor. The Form Recognition Module, for which free-form recognition is now a standard feature, also includes a form designer and form validator. Pricing and demonstrations for both modules is available upon request. For more information or to download a trial version, please visit http://www.luratech.com or contact info@luratech.com.
About LuraDocument PDF Compressor:
LuraDocument PDF Compressor enables conversion of color, grayscale or black-and-white scanned documents into high-quality, highly compressed PDF and PDF/A files. Using LuraTech’s best-in-class, mixed raster content (MRC) layered compression technology, documents can be reduced up to 100 times smaller than their original size, while maintaining superior image quality and text legibility. These optimized compression results in lower storage costs and reduced bandwidth requirements. PDF Compressor also offers an integrated ABBYY OCR engine for full text search capabilities in all PDF and PDF/A files. Now, PDF Compressor can be enhanced by adding optional modules, such as Born Digital, Forms Recognition, and Digital Signature, while taking advantage of its unparalleled automated, batch conversion.
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About LuraTech:
LuraTech is a leading provider of software products that simplify the complex process of converting and managing scanned documents and digital image content. With a strong belief in value innovation, LuraTech develops open, ISO-compliant JPEG2000 and PDF/A solutions that are easy to implement and deliver an immediate return on investment. LuraTech’s products are widely used in a number of industries, including cultural heritage, finance, government, healthcare, insurance, legal, libraries/digital archives, manufacturing, museums and scan services.
For more information, visit the LuraTech website at http://www.luratech.com.
