Images that contain clearly printed or typed information can be converted to text files through a process called OCR (Optical Character Recognition). The process in Quick Fields is known as OmniPage OCR. Once text has been extracted from an image, it can be stored and associated with the image in Laserfiche.
Many of the image enhancements available in Quick Fields are designed to improve the results of OmniPage OCR. For example, if the documents to be scanned in the session have been photocopied many times, they may have gray, speckled backgrounds or characters with gaps in them. You could configure a session that uses Despeckle to clean up the extra pixels in the background and Smooth to even out the shapes of the characters.
Where in the Quick Fields session you will use OmniPage OCR is determined by what you plan to accomplish with it. OmniPage OCR is very resource-intensive and can be slow if the image quality is poor, the image was scanned improperly, or if memory is limited. On the other hand, OmniPage OCR is a prerequisite for some processes, such as Auto Annotation. OmniPage OCR is only available in Pre-Classification Processing, Page Processing, and Storage Processing. It cannot be used as an Identification process. If you want to use a process that depends on OmniPage OCR on a particular document class, you will probably want to use OmniPage OCR in Page Processing for that document class before the other process. If none of the other processes used in the session depend on OmniPage OCR, you can use it in Storage Processing, where it will be applied while the documents are sent to Laserfiche, even if this is scheduled to occur at a later time. This helps you save time during processing.
Example: Ernest is configuring a session to process letters sent to the State Tax Board pertaining to tax audits. He wants to use Auto Annotation to redact any social security numbers found in the letters. In Page Processing, he configures OmniPage OCR and then Auto Annotation so text will be extracted from the document and then matched against the pattern of a social security number.
Example: Bertram is configuring a session that will process patient surgery records by looking up the patient identification number in a database and populating the Laserfiche fields with additional information from the database. He wants to extract the text from the entire document, but does not need to do so during processing. He configures the session to use OmniPage OCR in storage processing, so that the time-consuming work of extracting the text will take place when the documents are sent to the Laserfiche repository, which will happen at night.
To Use OmniPage OCR
To see the results of the OCR process, click the Text Pane button to display the text. Adjust and test until you are satisfied with the results.
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