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

<video src="demo.mp4"></video>

Why it matters

Deaf and hard-of-hearing viewers, and anyone watching video without sound.

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.

<video src="demo.mp4">

  <track kind="captions" src="captions-en.vtt" srclang="en" label="English">

</video>

A <track> element with kind="captions" surfaces synchronized text for dialogue and important sounds.

Outcome

On a fitness app's workout tracker, this barrier is gone for deaf and hard-of-hearing viewers — they can complete the task without hitting this wall.

Who is affected