Video creation with AI and media archives.
Generative AI, automated storyboards and semantic search to connect text and archived content in a personalised video-production workflow.

Turn a script into new value for your archive.
Producing personalised videos at scale means turning an idea into a narrative sequence and finding suitable material quickly. A rich internal archive loses value when image selection remains slow and manual. The project connects text input with media assets to accelerate content preparation.
- Generative AI
- Semantic search
- Video production
What we designed.
The solution combines narrative generation with semantic content retrieval. Connecting it to the internal archive and production workflow makes this a broader development project than using a standalone generative tool.
Turn text into a storyboard
Generative AI systems process descriptions and scripts to propose a storyboard. The narrative structure breaks the content into sequences and guides the search for materials to use.
Find content by meaning
Semantic matching identifies archived content aligned with the described scenes and concepts. Selection follows the relationship between what the video needs to communicate and the media assets available.
Connect selection and production
Storyboards and selected materials feed the video-creation workflow. Automation reduces repetitive search and preparation work, making personalised content and variants easier to produce.
Text, scripts and media archive
AI storyboards + semantic matching
Content for personalised video production
What it makespossible.
- Automated storyboard generation from text input.
- Semantic selection of relevant materials from the internal archive.
- A production workflow that makes use of existing media assets.
Want to turn your archive into a source of new video content?
Let’s start with your context, available data and the first useful outcome.
Tell us about your project
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