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QCFlow
Exceptional quality is a corporate necessity. It should be easier. It should be less expensive. With QCFlow, it is.

QCFlow verifies that captured data has been scanned and indexed properly. If so,
you rest easy. If not, QCFlow provides a host of intuitive, manual and automated tools
to render data precisely correct. Avoid costly mistakes.

QCFlow offers an array of routines to guarantee the quality of scanned images. QCFlow makes the job effortless and efficient. Using a thumbnail view, operators can rapidly view images for overall quality. If any question should arise, any image can be instantly viewed in fine detail. Problem documents can be tagged for seamless reprocessing in PaperFlow.

Operators can move manually through the documents at their own pace, or automate the process in a hands-free mode. When needed, the hands-free operation can be paused for closer inspection. The operator decides whether to view every page of a document or skip a specified number of pages. QCFlow can even reorder pages within or between documents,
or move pages from multiple documents into another simultaneously. This eliminates abandoned pages that were scanned out of order or into the wrong document.

Once the overall image quality has been achieved, QCFlow can perfect the index data. Not by the painstaking method of most competitors where you change one document at a time, but by having the ability to effect changes on multiple documents or entire batches of index information at one time. Users can easily perform index field validation and data
reformatting.

If invalid data is identified, QCFlow will instinctively tag the document for an operator to verify and re-enter. It is just as easy to validate the numeric sequence of data within a batch of documents. Youll know that every invoice or check has actually been captured.

Many functions of QCFlow can be automated, allowing batch operations to take
place during hours when equipment would normally be idle. QCFlow allows automatic verification of acceptable image file size, image width and height, number of pages within documents and index field values. Any documents in the automated batch that do not meet the acceptable parameters are tagged for operator review at a later time.

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