Character Style to Face Markup Conversion

Screenshot of the Cleanup dialog box with an arrow pointing at the section 'Character Style to Face Markup Conversion'
The Character Style to Face Markup Conversion section of the eXtyles Cleanup dialog.

 

Search this space

Quick Links

Cleanup

The Character Style to Face Markup Conversion section of Cleanup covers two types of character styles.

Cleanup Function

Use

Cleanup Function

Use

Built-in Styles

When selected, Word’s built-in character styles are converted to face markup. Word’s built-in character styles include: strong, emphasis, hyperlink, etc. This option removes the character style (which can interfere with proper XML export) but retains the bold, italic, underline local formatting, which you want to retain.

User-Defined Styles

When selected, this option converts any user-defined character style to face markup.

User-defined character styles can include any character style that is not native to Word; e.g., character styles that might have been created and used in an authoring template or that the author herself may have created.

This conversion may exclude the Word character styles for “Hyperlink,” “Footnote Reference,” “Endnote Reference,” and “Comment Reference,” depending on your configuration and whether your organization wants to retain those specific character styles.

Because non-eXtyles character styles can interfere with subsequent eXtyles processing, this conversion is most important for preparing the document for advanced processing functions.

What’s the difference between Paragraph Styles and Character Styles?

Short answer: Paragraph Styles are used to format and semantically identify each element of your manuscript at the paragraph level. While Character Styles apply uniquely identifying formatting to a word or phrase within the paragraph.

To find out more about their differences, see our blog post What We Mean When We Talk About Styles and Tags. To find out more about creating semantic structure, check out our 3-part series, Creating Semantic Structure.

Copyright © 2022 Atypon Systems, LLC. All Rights Reserved.