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Introduction
What is optical character recognition
Optical character recognition is the process of extracting text from an
image. This image can result from scanning a paper document or
opening an electronic image file. Images do not have editable text
characters; they have many tiny dots (pixels) that together form character
shapes. These present a picture of the text on a page.
During OCR, OmniPage Pro 12 analyzes the character shapes in an
image and defines solutions to produce editable text. After OCR, you can
save the resulting text to a variety of word-processing, desktop publishing
or spreadsheet applications.
OmniPage Pro's OCR capabilities
In addition to text recognition, OmniPage Pro can retain the following
elements of a document through the OCR process.
Graphics
Photos, logos, and drawings are examples of graphics.
Text formatting
Font types, sizes and styles (such as bold, italic and underlines) are
examples of character formatting. Indents, tabs, margins and line spacing
are examples of paragraph formatting.
Page formatting
Column structure, table formats, and placement of graphics and headings
are examples of page formatting.
The graphics, text and page formatting elements that OmniPage Pro
retains are determined by the settings you select. Refer to the Settings
Guidelines in the online Help for more information about selecting
settings.
OmniPage Pro only recognizes machine-generated characters such as offset or
laser-printed or typewritten text. However, it can retain handwritten text, such as a
signature, as a graphic.
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