Step 1
Upload the source video
Start with the long-form content you already need to deliver.
Context-aware, multilingual, and self-serve. Upload a video and generate timed, delivery-ready audio description from the browser.
What Makes It Different
The workflow is automated, but the product still gives you control over density, timing, and the outputs you need for review and delivery.
Video understanding, script generation, timing, and voice output happen in one workflow.
Tracks characters, locations, and story beats across full-length content instead of describing frames in isolation.
Supports audio description in English (US), German, French, Hindi, Italian, Spanish, and Greek, with one language generated at a time.
Adjust script density and how audio description slots are created and organised in silent periods.
Upload, generate, and download without procurement cycles, briefing rounds, or vendor back-and-forth.
Export scripts, synthetic voice audio, transcripts, silent-period logs, and optional AD-embedded review video.
Where It Fits
From production companies managing heavy release schedules to universities tackling lecture backlogs, Visonic AI fits where the need is greatest.
Reduce late-stage budget shock and vendor back-and-forth when broadcasters require AD for multiple titles.
Add audio description capability without building a dedicated services department from scratch.
Increase coverage, improve operational visibility, and make archive remediation more realistic.
Move audio description closer to the content pipeline and away from disconnected manual workflows.
Tackle lecture backlogs, accommodation requests, and accessibility remediation with a more scalable workflow.
Give accessibility leaders a path across training, communications, and departmental video without managing every request manually.
Three steps. Real controls.
Upload the source video, set the language and AD controls, then export the script, audio, and review assets you need.
Step 1
Start with the long-form content you already need to deliver.
Step 2
Generate one language at a time, with control over script density and how AD slots are arranged in silent periods.
Step 3
Get script files in industry-standard formats, synthetic voice AD audio, the original transcript, silent-period time logs, and an optional AD-embedded review video.
Deep Dives
If you are comparing approaches, these pieces cover quality, cost, compliance, and rollout.
The definitive guide to how AI is transforming audio description — technology, workflows, quality benchmarks, and what to look for in a provider.
A breakdown of the real cost drivers behind manual audio description and how AI automation changes the unit economics for media teams.
Evaluation criteria for teams comparing audio description vendors — quality, turnaround, language coverage, workflow fit, and pricing models.
An accessible introduction to audio description — what it is, who needs it, the regulatory landscape, and how production teams deliver it.
What Teams Reported
Real feedback from teams using Visonic AI in production workflows. Across evaluations, the feedback kept returning to story tracking, difficult scenes, and how quickly teams gained confidence in the output.
A veteran audio describer with decades of industry experience told us the output tracked the right storyline so well they assumed there had to be human intervention in the loop.
A large international localisation services provider evaluated Visonic AI against other generated offerings in the market and concluded the gap in quality, capability, and delivery readiness was dramatic.
After trialing the system across both easier and harder titles, another customer told us they had not seen anything else on the market match the quality bar they were seeing from Visonic AI.
Workflow Outcomes
The important result is not only output quality. It is faster turnaround, lower review effort, and projects that become feasible at scale.
Audio describers reported that work which used to involve weeks of viewing, preparation, and first-pass drafting could be shortened dramatically when Visonic AI handled the starting draft and humans focused on touchups.
One customer used Visonic AI to process a video archive containing hundreds of assets. They described the old manual path as cost-prohibitive and year-scale, while the Visonic path made the project feasible within weeks.
An integration customer reported shortening turnaround from roughly two weeks to about a day by pushing Visonic AI outputs directly into their internal workflow.
Across several workflows, customers described the review step as light-touch approval or basic touchups rather than a large rewrite cycle involving multiple additional humans.
Same Platform
Audio Description is often the first adoption path, but the same long-form video foundation also supports packaging, metadata, and short-form workflows.
Generate titles, synopsis variants, and long summaries from the same long-form source material.
See how broadcasters, channels, and streaming teams use structured summarisation outputs in daily packaging operations.
Start from the team or workflow closest to your operating model if Audio Description is only one part of the broader problem.
Guides
These guides cover software options, evaluation criteria, and the differences between Visonic AI and the alternatives.
A practical guide to generating audio descriptions with AI, including when a DIY stack is enough and when you need a dedicated accessibility workflow.
A comparison guide for teams weighing creator tools, DIY workflows, broadcast accessibility tools, and dedicated audio description platforms.
Create a free account and try it on a real title.