Available now
Auto Summarisation
Generate reusable titles, synopsis variants, and long summaries for title pages, metadata systems, and cross-market packaging.
Industry Solution
AI metadata, packaging, and accessibility for streaming platforms with deep catalogs
For accessibility leaders, content operations teams, metadata owners, localization leads, product teams, and legal stakeholders who need catalog coverage and packaging workflows that scale across large libraries.
Products in play
Where the product suite fits
Different teams enter through different pressure points. The important part is that the workflows can expand from the same platform base.
Available now
Audio Description
Scale accessibility coverage across new ingest and back-catalog workflows from the same long-form video foundation.
Early access
Auto Shorts
Support short-form trailer, highlight, and promo workflows from long-form source material in early-access deployments.
The challenge
Common bottlenecks we hear from teams like yours
Packaging work repeats at catalog scale
Large libraries need title copy, synopses, and richer summaries across thousands of assets and multiple surfaces.
Localization is not just translation
Metadata has to make sense by market, character limit, and surface, not just be translated literally after the fact.
Accessibility still lives in a separate track
Even mature streaming pipelines often treat audio description as the manual exception instead of part of the content operating system.
Catalog economics are unforgiving
When every additional asset requires manual screening and rewrite, library improvements become too slow and too expensive.
How we help
What changes when you add Visonic AI
Generate packaging-ready metadata in multiple lengths
Move from one generic summary to a structured packaging workflow that maps to real product surfaces.
Support multilingual rollout from one source workflow
Treat packaging as a language-aware generation problem, not a chain of manual rewrites after the original summary is done.
Bring accessibility closer to content operations
Run metadata and audio-description workflows from the same long-form video understanding base instead of splitting them apart.
Improve library usability without linear headcount growth
The gain is in how much library improvement becomes practical once packaging and accessibility stop being fully manual.
Output formats
What the workflow can return
The strongest workflows produce outputs that downstream teams can actually use without recreating the work manually.
Platform titles
Generate title variants that fit the constraints of different product surfaces and metadata slots.
Synopsis variants
Return 150, 200, and 256 character synopsis outputs for grids, cards, and constrained UI contexts.
Long summaries
Generate 1000 and 4000 character summaries for richer metadata, editorial packaging, and internal review.
Language-specific packaging
Generate the packaging language needed for the destination surface instead of relying on a manual rewrite chain.
Why not generic AI
Why generic tools break down here
The difference is not that AI exists. The difference is whether the workflow produces outputs teams can actually publish, review, and operationalize.
Transcript compression is not catalog packaging
Streaming teams need summaries that reflect the actual program and fit real product constraints, not generic text shrinkage.
Metadata systems need structure
The strongest outputs are not only accurate. They are usable inside the workflow that already manages titles, descriptions, and releases.
Large libraries punish manual review loops
At catalog scale, even small repeated tasks become expensive. That is why throughput matters as much as quality.
Accessibility and packaging should not live on separate islands
The long-term leverage comes when both workflows move closer to the same content pipeline.
Proof
Why teams move fast once they test it
The product is already proving itself where volume is high and the cost of repeated packaging work shows up every day.
Built for daily publishing volume
The real-world use case is not occasional summarization. It is handling constant episode flow across channel and platform operations.
Multilingual packaging is already in use
Teams already use the system in workflows where show language and metadata language are not the same.
Productivity gains are material
Reported improvements are large enough to change how teams organize the work, not just shave a few minutes off it.
Frequently asked questions
Can this help with streaming metadata even if our first problem is not accessibility?
Yes. For many platforms the first win is packaging: titles, synopses, and richer summaries. Accessibility then becomes a natural adjacent workflow rather than a separate procurement story.
How is this different from summarizing a transcript with a general LLM?
Because the product is grounded in the video, not only the text. That matters when the important packaging signal is visual, narrative, or distributed across the program rather than spelled out in dialogue.
Can Auto Summarisation output in multiple languages today?
Yes. Multilingual output is already part of the real use case, especially in environments where the display language differs from the original program language.
What happens when our catalog also needs audio description?
The advantage is that the same long-form video foundation can support both packaging and accessibility workflows. That is a stronger operating model than treating them as unrelated problems.
Should we care about Auto Shorts now or later?
Care now if promo and short-form publishing are already under pressure. Otherwise, it can be the next workflow layered in once summaries and metadata are working well.
Ready to scale catalog operations?
Contact us, or try the platform on live catalog workflows.