What is ADA Title II? A guide for library and special districts
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Ketchly team Published 6 min read
PDF/UA (Universal Accessibility) is the international standard — ISO
14289 — that defines what a technically accessible PDF looks like on the
inside: complete tags, a machine-readable structure, correct metadata, and
none of the constructs that break assistive technology. Where WCAG describes
accessible content in general, PDF/UA pins down the file format
requirements specifically for PDF. It matters to your district because it's
the standard remediation work is measured against — and because the free
validator that checks it, veraPDF, is how you can verify a vendor's work,
including ours. Here's the plain-language version of both.
A PDF can look perfect on screen and still be a locked box to a screen
reader. PDF/UA-1 (ISO 14289-1) exists to make the difference testable. In
substance, a conforming file must:
If that list sounds familiar, it should — it's the formal version of the
checklist in our how-to guide.
PDF/UA is that checklist turned into an engineering specification precise
enough that software can verify most of it.
Two housekeeping notes. First, PDF/UA-1 dates to 2012 and targets the PDF
1.7 format nearly every government document uses today; a successor,
PDF/UA-2, arrived in 2024 for the newer PDF 2.0 format. PDF/UA-1 remains the
practical target for remediation work in 2026. Second, PDF/UA and WCAG
overlap heavily but aren't identical: the DOJ's Title II
rule legally requires
WCAG 2.1 AA, and WCAG adds content rules — minimum color contrast, for
one — that PDF/UA doesn't police. In practice, a document remediated to
PDF/UA with sensible visual design satisfies what WCAG asks of PDFs; PDF/UA
is how the document side of WCAG compliance actually gets built and
verified.
A standard is only useful if you can test against it. The PDF Association
publishes the Matterhorn
Protocol — the
industry's agreed testing model for PDF/UA-1. It organizes conformance into
31 checkpoints containing 136 failure conditions: a complete catalog
of every distinct way a PDF can violate the standard, from "table header
cells not tagged" to "document language missing."
The most useful thing Matterhorn does is sort those 136 conditions by who
can detect them:
That roughly two-thirds / one-third split is the single most important fact
in this post, and we'll come back to it.
veraPDF is the open-source validator the
industry treats as the neutral referee for PDF standards. It was built by a
consortium led by the Open Preservation Foundation and the PDF Association,
with funding from the European Union's PREFORMA digital-preservation
project — which is to say, it belongs to no vendor, costs nothing, and its
rules are public. It validates PDF/A (the archival standard) and performs
the machine checks for PDF/UA — the checkable conditions from the
Matterhorn catalog above.
Run veraPDF against a document and you get a precise, itemized verdict:
every machine-checkable failure condition the file violates, by name. That
precision is what makes it valuable to a district in two directions at once:
Here's the honest part, and it cuts against anyone who waves a validation
report as the whole story: veraPDF verifies structure, not meaning.
Remember the split — 87 of Matterhorn's 136 failure conditions are
machine-checkable, and those are what veraPDF tests. The other 47 need a
human, and they're disproportionately the ones your patrons actually
experience:
So the true quality bar is a conjunction: pass the machine checks and
survive human review of the judgment calls. A document that fails veraPDF
is not accessible; a document that merely passes it might not be either.
Anyone who tells you a green checkmark from a validator equals accessibility
is skipping the 47 conditions software can't see.
You don't need to memorize checkpoint numbers. You need three takeaways:
This split is exactly how Ketchly is built: every document
we remediate is validated with veraPDF against PDF/UA, and the
human-judgment conditions — the ones no validator can score — get review
where the AI isn't confident. The standard is public, the validator is free,
and our work is checkable by anyone; we think that's how it should be.
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