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G2_02 Text content correctly tagged (one container per word)

PDF102

Pass PASS

Use case(s): Fundamental 2: Text

Last updated on January 3, 2025

Description

The objective of this technique is to show how to tag text content, so that it is machine-readable. In this example, each word is created in a separate container. All of the containers that semantically belong together are contained in one P tag.


Download(s)

These minimal examples are designed to express a single Technique. Effective use requires software that supports Tagged PDF.

Test(s)

Expected Results

Checks #⁠1 through #⁠4 are all true.

Procedure

  1. For content intended to be consumed as text, check that text is extractable.
  2. Check that Unicode can be derived for any text content.
  3. Check that the extractable characters match their visual appearance.
  4. Check that the Natural Language is set for any text content.

Application to WCAG 2.x

This Technique addresses the following WCAG 2.x Success Critieria:

Matterhorn Protocol

The Matterhorn Protocol 1.1 provides an algorithm for conformance with PDF/UA-1. Matterhorn checkpoint(s) (human or machine) relevant to this use-case:

  • Human check08-001
  • Machine check10-001
  • Machine check11-001
  • Machine check11-002
  • Machine check11-003
  • Machine check11-006

Accessibility Technique Support Finder

Accessibility Technique Support Finders allows you to quickly locate software and services that claim to support a given Technique. Simply search the internet with a given technique’s finder together with the name of your product.

The technique finder for this Technique is: UA1_Tpdf-G2_02

NOTE: the “technique support finder” concept was introduced in January 2025; please allow time for adoption.

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