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Stay ahead of accessibility regulations, AI technology advances, and industry best practices for audio description — written by the Synchrogen team for content creators, broadcasters, and accessibility professionals.
Every article here comes out of building audio description software day to day — not generic filler. We write about the regulatory side (EAA 2030, ADA, WCAG 2.2, and which deadlines actually matter), the craft of writing description that doesn’t talk over dialogue or music, and where AI genuinely speeds up the production pipeline for broadcasters and streaming platforms — and where it still needs a human editor.
Regulatory deep dives: WCAG 2.2 success criteria, EAA 2030 deadlines, ADA case law, and what compliance actually requires page by page.
Craft-level guidance for describers: pacing, word choice, fitting description into gaps without stepping on dialogue, and QA workflows that catch errors before delivery.
Where automation genuinely speeds up audio description production, where it still falls short, and how the tooling landscape is evolving.
Premiere Pro can hold an audio description track — it just can't help you find where one goes. Here's where it fits in a real AD pipeline, and where a dedicated tool takes over.
Adding audio description to a finished video is five steps, not one. Skipping any of them is usually what makes a first attempt come out wrong.
Stripped of the hype, AI does real, specific work in a handful of stages of an audio description project — and none of the judgment calls. Here's the stage-by-stage breakdown.
Every audio description tool picks one of two working models — a timeline you drag clips against, or a linear script you write against a character count. They suit different describers and different content.
A working script needs to say more with less, in objective language, timed to fit a gap you don't control. Here's the craft, not just the theory.
“Audio description generator” covers everything from a free browser tool to a full production suite. Six things separate the ones that hold up on a real project from the ones that only work for a demo clip.
"AI audio description" usually means one of two different things — software that reads a script aloud, or software that writes the script itself. Confusing the two is where most AI-narration disappointments come from.
Not all audio description software solves the same problem. Here's what separates a purpose-built AD editor from a generic video tool with captions bolted on — and when each is the right call.
Right now, entertainment platforms face a massive content accessibility gap—AI augmentation changes the economics of fixing it.
Good audio description is invisible to sighted viewers and essential to blind ones. These are the principles that separate broadcast-quality AD from descriptions that are technically present but practically useless.
WCAG 2.2 Success Criteria 1.2.3 and 1.2.5 require audio description for pre-recorded video. Here's what each criterion means, how they differ, and what 'sufficient' audio description actually looks like in practice.