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Creating Text Equivalents for Images:
Summary: This article describes what text equivalents are, why
they are required, how to create them, and the best approach to
writing and editing them.
Introduction
The alternative text attribute is required by Section 508 part
1194.21 (f) for Software applications and Operating Systems, as
well as 1194.22 (a) for web based intranet and internet applications.
The alternative text attribute or text equivalent is a phrase,
sentence, or combination of phrases and sentences that you write
and associate with a particular image. The text should describe
the image's visual appearance and or its purpose. For example, it
can include instructions on how to take an action, such as navigating
through online Help by clicking an arrow image.
A screen reader, such as WindowEyes by GW Micro, normally translates
text into synthesized speech or a refreshable Braille display. When
the developer includes text equivalents in the Web page or application,
he allows the images to be translated as well.

Ideally, a text equivalent provides the user with the same information
as the original content. For example, if a Web page displayed an
image of an astronaut on the Moon, you might write "Astronaut
placing the American flag on the Moon's surface" as the text
equivalent.
Benefits of Text Equivalents
Text equivalents benefit all users, including those with slow Internet
connections, those with text-only browsers, and those who are blind
or have low vision. When a user places the mouse pointer over an
image, the text equivalent appears as a ToolTip in some browsers.
In this case, the text equivalent can establish context, provide
visual interest, or assist with navigation.
Text equivalents also benefit those with slow Internet connections
because such users can opt to turn off the graphics capabilities
in their browsers to decrease their download times. For these users,
text equivalents might provide the only source of information about
the images on a Web page. In some cases, the page already contains
additional text that provides some meaningful information. Similarly,
text equivalents benefit those with text-only browsers.
For a person who is using a screen reader due to blindness or low
vision, text equivalents can provide the only source of information
about the images on a Web page. A screen reader user can navigate
around a Web page, hearing information about each image and other
user interface elements. In another navigation style, a screen reader
user can navigate through a page by simply tabbing and listening
to information about those elements that receive the focus, such
as a linking image. In this case, the screen reader skips non-linking
images and any text around a linking image.
Implementing Text Equivalents
In a Web-enabled application that uses HTML, place the text equivalent
in the ALT attribute of the IMG tag.
<img src="images/astronaut.gif" alt="Astronaut
planting the American flag on the Lunar surface">
If you are using a Web authoring tool, see the product documentation
for instructions on setting the ALT attribute.
Writing Good Text Equivalents
Translate all elements of the following types into text equivalents:
- General
images such as pictures,
icons, decorative borders, photos, and thumbnails.
- Special images such as those used for bullets,
graphical buttons,
and spacer images (which are transparent images used to visually
align elements on a page). Because a spacer image does not contain
information, its text equivalent should be ALT="". The
screen reader can then choose to ignore the image.
- Graphical
representations of text such as company logos.
- Each text
equivalent should briefly identify the element to which it's
attached and, if appropriate, describe any functionality represented
by the element. The text equivalent must therefore be succinct,
descriptive and, most of all, accurate.
Due to the limits of some screen readers (such as the default 150-character
limit of JAWS for Windows and 200-character limit for WindowEyes),
writing an effective text equivalent is an exercise in extreme economy.
The challenge is to get as much information as possible into the
fewest number of characters without sacrificing intelligibility.
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