Caption accuracy and accessibility standards for social video

For social video, captions should be corrected to near-perfect accuracy before publishing, because the gap between 90% and 99% is the difference between captions that help and captions that distract — at 90%, a viewer hits a wrong or missing word roughly once a sentence, which breaks reading flow and undercuts trust in the content.

Accessibility is the baseline reason. Viewers who are deaf or hard of hearing rely on captions entirely, and a large majority of all viewers watch muted by default, so inaccurate captions degrade the experience for most of your audience, not a minority.

Captions are also a discovery input. Platforms read caption and transcript text to understand what a video is about and to match it to search and topic feeds, so a clean, accurate transcript improves how well the right people get served your clip.

The practical standard: correct proper nouns, technical terms, and numbers (the words auto-captioning most often gets wrong), fix any line that changes meaning, and make sure caption timing doesn't lag the audio by more than a beat.

Formatting matters too — two to four words per line, high contrast, positioned clear of the platform's UI overlay, and never more than two lines on screen at once.

OptimaClip generates the first-pass captions and gives you an editable transcript to correct the terms and numbers before export, which is where the accuracy gain actually happens.