Documents In Omnipage Pro; Basic Processing Steps - ScanSoft OMNIPAGE PRO 14 Manual

Documents in OmniPage Pro

OmniPage Pro 14 handles documents one at a time. When you acquire
your first image (from scanner or from file) a new document is started.
Further acquired images are added to the same document, until you save
and close it.
A document in OmniPage Pro consists of one image for each document
page. After you perform OCR, the document will also contain recognized
text, displayed in the Text Editor, possibly along with graphics and tables.
See "The OmniPage Desktop" on page 22.

Basic processing steps

There are three ways of handling documents: with automatic, manual or
workflow processing. See "Automatic processing" on page 38, "Manual
processing" on page 40 and "Workflows" on page 94. The basic steps for
all processing methods are broadly the same:
1. Bring a set of images into OmniPage Pro.
You can scan a paper document with or without an Automatic
Document Feeder (ADF) or load one or more image files. The
resulting images can appear as thumbnails in the Image Panel along
with the image of the first page entered. The document pages are
summarized in the Document Manager. See "Defining the source of
page images" on page 48.
2. Perform OCR to generate editable text.
During OCR, OmniPage Pro creates zones around elements on the
page that will be processed, and then interprets text characters or
graphics in each zone. Manual and template zoning are also possible.
After OCR, you can check and correct errors in the document using
the OCR Proofreader and edit the document in the Text Editor.
3. Export the document to the desired location.
You can save your document to a specified file name and type, place
it on the Clipboard, send it as a mail attachment or publish it. You
can save it as an OmniPage Document (OPD) as described later. You
can save the same document repeatedly to different destinations,
different file types, with different settings and levels of formatting.
See "Saving and exporting" on page 79.
What is optical character recognition
Chapter 2
21