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|**Character definitions**| Rich, reusable character profiles with wardrobe, personality, and vocal traits. |
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|**Global styling**| Consistent visual and auditory themes (camera, lighting, tone, audio) across the entire video. |
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|**Scene‑by‑scene control**| Unique parameters for each scene, including location, environment, subjects, props, motion graphics, and dialogue. |
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|`scenes`| An array of individual scenes, each with its own specific settings and overrides. |
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|`annotations`| Production and post‑production notes, including external asset references. |
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For a complete breakdown of every field and its type, refer to [`video-notation.schema.json`](.schema/video-notation.schema.json).
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For a complete breakdown of every field and its type, refer to [`video-notation.schema.json`](schema/video-notation.schema.json).
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---
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-**Enhanced workflows** – Streamline prompting for individuals and teams, enabling efficient iteration and faster delivery.
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-**Versionability** – JSON prompts integrate seamlessly with version‑control systems such as Git, allowing transparent tracking of changes, collaborative review, and simple roll‑backs.
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In essence, the schema transforms abstract creative concepts into concrete, actionable instructions for AI, unlocking new possibilities for storytelling and visual communication.
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In essence, the schema translates abstract creative concepts into concrete, actionable instructions for AI, unlocking new possibilities for storytelling and visual communication.
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---
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## 🚀 Getting Started
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### 1. Use Video Notation Studio *(recommended)*
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### 1. Use Video Notation Studio
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The web‑based **Video Notation Studio** provides a guided interface with validation, real-time visualisation and the ability to export your completed JSON prompt.
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Our web‑based **Video Notation Studio** provides a guided interface with validation, real-time visualisation, and the ability to export your completed JSON prompt.
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The Studio is fully browser-based and uses local storage only — your work is saved privately in your browser and never uploaded or shared.
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#### Studio Screenshot
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Install a JSON Schema aware editor or plugin (e.g. Visual Studio Code with the **YAML** or **JSON Schema** extension). Add a `$schema` key to the top of your file to enable validation and autocompletion.
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### 3. Create a prompt – minimal example
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**Prompt – minimal example:**
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```jsonc
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{
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}
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```
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Fully‑featured sample prompts are available at [`examples/examples.md`](./examples/examples.md).
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Fully‑featured sample prompts are available at [`examples/examples.md`](/examples/examples.md).
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### 4. Use prompt with models
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---
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## Use prompt with models
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Use your JSON prompt with any text-to-video AI video generation model.
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### 🛠 Maintainer
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The schema was authored by **Nikolaos Maniatis** and is maintained and distributed by **The Cato Bot Company Limited**.
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The schema was authored by [**Nikolaos Maniatis**](https://github.com/nikmaniatis) and is maintained and distributed by **The Cato Bot Company Limited**.
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Raise an **[issue](https://github.com/context-notation/video-notation-schema/issues/new)** in this repository if you have found a bug or would like to suggest an addition.
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---
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## Citation
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If you use the Video Notation Schema in academic work, please cite:
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