McLeod Software expands imaging capabilities

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McLeod Software — a provider of dispatch, accounting and enterprise management solutions for trucking and brokerage firms — announced Tuesday, Oct. 16, the Automated Forms Recognition module, a new capability for motor carriers that utilize its McLeod Document Imaging system. The Automated Forms Recognition module is comprised of four different engines designed to allow users to capture, validate and classify data accurately and easily.

“For all types of motor carriers, the Automated Forms Recognition module transforms labor-intensive office operations into an advanced electronic document management system,” says Tom McLeod, president and founder of Birmingham, Ala.-based McLeod Software. “This new module, which reduces labor costs and saves time by expediting workflow and eliminating bottlenecks and data entry errors, is the latest in a series of product enhancements that our expanding imaging division has designed to help customers realize the benefits of a truly paperless operation.”

McLeod’s development team designed the Automated Forms Recognition module with the flexibility to quickly capture data on unlimited numbers of forms and index documents. The company says weeks of paperwork can be processed in a few days without the need for manual coding and input; for example, using customized trip sheets replaces the need for sheet separators when scanning large batches of paperwork. Drivers also have the ability to import paper documents — such as bills of lading, logs and other load related-documents — into the imaging system in real time, according to McLeod.

The Automated Forms Recognition module consists of four different engines designed to manage and control document flow:

  • Barcode engine used to extract index information and determine document types;
  • OMR (optical mark recognition) engine capable of reading mark sense (bubbles) to lift index information;
  • Data validation engine that ensures accuracy of index information against the operations database; and
  • Forms recognition engine that utilizes OCR (optical character recognition) and topography technology to classify documents.