Why accessibility teams still search video transcript compliance beyond auto captions?
Platform auto captions garble names, punctuation, and speaker changes—WCAG-minded teams need editable tracks with predictable reading speeds. Queries include accessibility caption file, srt generator transcript, vtt captions compliance, public sector video text, and deaf hard of hearing captions because equivalence matters more than moving glyphs. Audio-described visuals still need planning when critical facts only appear on screen—text tracks alone may not satisfy every disability scenario. Machine translation for civic video needs cultural review, not only bilingual spelling checks. Subtitle files cached separately from video can desync after re-encodes unless versions and CDN invalidations travel together. Ai2Done keeps the accessibility variant disciplined: pick languages, transcribe, human line-break for readability, test players, then ship caption and video hashes as one release bundle.
How to produce caption-ready transcripts for distribution
- Open Video to Text, choose the accessibility variant, list required caption formats and max characters per line for your players, and read upload limits.
- Post-edit for names, numbers, humor, and reading speed, adding non-literal clarifications only when editorial policy allows extended descriptions elsewhere.
- Stage-play captions against the shipped encode, bump version metadata, purge CDN caches in lockstep, and keep editable masters for regulatory text updates without re-shooting video.