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Case study · Product · AI video

Ozor

An AI video platform that turns documents, prompts and URLs into polished, branded videos with voiceover, scene structure and on-brand visuals. No motion-design skills or editing software required.

EngagementConcept to Build to Scale
Built onGoogle Gemini · Google Cloud
IntegrationsMCP · n8n · Zapier
StatusLive product
Live product
Ozor

What it does

Ozor takes raw source material, a PDF, a slide deck, a web page or a short text brief, and produces a finished video with narration, scene structure and on-brand visuals. The user never touches a timeline. They bring the content; Ozor turns it into something ready to publish.

It is built for teams and creators who need to produce video at scale, where the bottleneck has always been editing time and design skill rather than ideas.

What we built

We designed and built the platform end to end on Google’s Gemini models, running on Google Cloud Platform. The core is a generation pipeline that reads source material, structures it into scenes, writes and voices narration, and renders branded visuals automatically.

  • Document, prompt and URL ingestion into a single generation flow.
  • Automatic scene structuring, scripting and AI voiceover.
  • On-brand visual generation so output matches the customer’s identity.
  • Ozor Academy, a white-label path for enterprise microlearning.

Wires into your stack

Ozor is built to be automated, not just used. It plugs into existing workflows through a public MCP server, an n8n community node and planned Zapier support, so document-to-video generation can be wired directly into the tools a team already runs.

Where it is used
Marketing & socialIncluding short-form formats like Instagram Reels, produced at volume.
Enterprise learningWhite-label microlearning at scale through Ozor Academy.
Automated pipelinesDocument-to-video triggered straight from existing workflow tools.
Next case Ozor Learn

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