- Success Criterion 1.2.2
- Conformance level A
YouTube Auto-Captions Never Corrected for Accuracy
1.2.2 — Captions (Prerecorded)
Scenario
Setting
A fitness app's workout tracker
What’s wrong
Auto-captions (YouTube auto-generated (speech recognition)) left uncorrected: wrong words, no punctuation, no speaker IDs — fails accuracy/equivalence.
Example
A tester reviewing a fitness app's workout tracker finds this: auto-captions (YouTube auto-generated (speech recognition)) left uncorrected: wrong words, no punctuation, no speaker IDs — fails accuracy/equivalence.
Why it matters
Deaf and hard-of-hearing viewers, and anyone watching video without sound. On a fitness app's workout tracker specifically, they get no equivalent for the sound or picture content.
How to test
Turn on YouTube/platform auto-captions and compare 30 seconds against the actual audio: uncorrected wrong words, missing punctuation, and no speaker labels mean it fails.
How to fix
Synchronized captions must be provided covering all dialogue, speaker identification, and important sounds.
Outcome
Fixed, a visitor to a fitness app's workout tracker can understand the image, video, or audio content.
Who is affected
Deaf and hard-of-hearing viewers, and anyone watching video without sound.
Learn more
- Understanding Understanding document (opens in a new tab)
Related scenarios
- Captions That Skip Dialogue or Important Sound Effects
- Video-as-Text-Alternative Never Labeled or Captioned
- Video With Extra Content the Captions Never Include
- Prerecorded Video Published With No Captions Whatsoever
- Captions That Drift Out of Sync With the Audio
- Burned-In Captions Too Small or Low-Contrast to Read