AI video workflows for broadcasters publishing to linear and streaming at the same time
For access services, programming, content operations, metadata, digital, promo, and engineering teams who need tonight's episodes described, packaged, and promoted without a relay race across vendors and internal queues.
Where the product suite fits.
Auto Summarisation
Generate titles, synopsis variants, and long summaries for episode pages, guides, marketing, and regional packaging workflows.
Explore product ↗Audio Description
Scale accessibility coverage across current output and library content without manual-only economics.
Explore product ↗Auto Shorts
Create promotional short-form outputs from long-form programs for highlights, cutdowns, and campaign assets.
Contact for access ↗Common bottlenecks from teams like yours.
Each episode needs multiple outputs
A single program has to become guide copy, platform metadata, marketing text, accessibility assets, and often short-form promotion.
Linear and OTT workflows are split
The same title often gets repackaged by different teams for channel schedules, apps, websites, and promo systems.
Regional language packaging compounds the problem
Shows can air in one language while title, synopsis, and metadata need to travel across several others.
Manual operations do not scale to daily volume
When a network is pushing 20 to 30 episodes a day, repeated screening and rewriting becomes an operational choke point.
What changes when you add Visonic AI.
One ingest, multiple deliverables
Use the same long-form understanding workflow to support accessibility, metadata, and promotional downstream outputs.
Packaging-ready copy at broadcast speed
Generate title, synopsis, and summary variants that fit real publishing constraints instead of drafting every version from scratch.
More consistent cross-team operations
Reduce the drift between channel, OTT, promo, and metadata teams by giving them outputs from the same system of record.
Stronger leverage across the slate
The gain is not one faster episode. It is a different operating model across the whole programming calendar.
What the workflow can return.
Two title lengths
Generate title variants for constrained surfaces such as 40-character and 60-character packaging slots.
Three synopsis lengths
Return synopsis outputs tuned for 150, 200, and 256 character constraints instead of forcing one summary everywhere.
Two long-summary lengths
Produce fuller 1000-character and 4000-character versions for richer metadata, guides, and editorial use.
Multilingual packaging
Generate usable outputs across language workflows when the program language and display language are not the same.
Why generic tools break down here.
Generic LLMs do not actually watch the episode
Broadcasters need packaging grounded in the program, not a paraphrase of a transcript or a guess from a prompt.
One summary is not enough
Broadcast and streaming operations need several output lengths because each surface has a different editorial constraint.
Daily volume changes the economics
The right system must hold up when dozens of new episodes arrive every day, not only on occasional titles.
The workflow has to cross departments
The real problem is not only copy generation. It is keeping metadata, promo, accessibility, and operations aligned under production pressure.
Why teams move fast once they test it.
Used inside live TV operations
International broadcasters and TV operators are already relying on Visonic AI for real packaging workflows.
10x-20x productivity leverage
Teams report that summary and packaging work that once consumed whole editorial blocks now moves at a very different pace.
Operations reorganize around it
This is not just a convenience tool. Some teams have already restructured how the work gets done once the workflow proved itself.