Human-verified checks
Fourteen WCAG 2.1 criteria in ten checks · A / AA
- Attestation
- human sign-off, listed on the certificate
What the rule requires
Some WCAG criteria are genuinely judgment: does an instruction rely on shape or position? Is color the only cue? Is text living inside an image? Is focus visible? No honest tool calls these automatic.
Proof’s answer is structural: machine-detected candidates, evidence on the review card, and a human attestation, recorded against the person who made it and listed on the certificate. The claim is automated + attested — never “fully automatic.”
- Sensory characteristics1.3.3 · A
- Use of color1.4.1 · A
- Resize text1.4.4 · AA
- Images of text1.4.5 · AA
- Non-text contrast1.4.11 · AA
- Keyboard access & traps2.1.1 / 2.1.2 · A
- Scripts: hover, motion, status messages1.4.13 / 2.2.2 / 4.1.3 · A / AA
- Timing & flicker2.2.1 / 2.3.1 · A
- Focus visible2.4.7 · AA
- Language of parts3.1.2 · AA
How Proof clears it
- Proof detects the candidates: bilingual scans for instructions that rely on shape, position, or sound (deliberately over-flagging for the reviewer), a scan for text, links, chart keys and chart-like pictures told apart by color alone, OCR-diff evidence for images of text, Unicode-script scans for language of parts, form-control border and chart-key measurement for non-text contrast, and a read of every script and timer for the rest.
- An accountable person attests, with the evidence beside the decision. The attestation is attributed, and it flows onto the compliance certificate.
- The gate holds: an attestation can clear a review item, but it can never override a confirmed failure.
Watch it in Proof
What to expect
Where the thing a check looks for is absent — no color-only cue, no chart, no custom script, no timer — the check passes and its evidence says why, so a person is asked only about documents that have it. And unverified human checks read “needs review”, never “failed”: that word is reserved for confirmed violations.
2.1 AA✓
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