JSON to Video Guide

When to use it

Use a JSON to video workflow when:

The video output is derived from structured data
You need multiple variations from the same template logic
A product, agent, or automation system needs to trigger video creation
You want previews before final output
You need asynchronous render tasks and delivery callbacks

If the workflow is mostly one human editing one video at a time, a manual editor may be simpler. If the workflow needs repeatability and software integration, JSON is usually the better control surface.

Recommended workflow

Generate or assemble the video schema
Validate the schema structure and asset references
Create a preview
Review or refine the schema
Start the final render task
Poll task status or receive a webhook
Store or deliver the final asset

Implementation checklist

Define the video schema shape your product will generate
Decide how assets are uploaded or referenced
Validate required fields before rendering
Generate previews for user or system review
Store task IDs and status transitions
Handle failed renders and retries
Deliver final assets through polling or webhooks
Keep reusable templates separate from runtime data

Minimum schema surface

A production schema usually needs:

meta for canvas settings and video metadata
assets for images, videos, audio, and fonts
tracks for timeline structure
clips for text, media, shapes, subtitles, and layouts
Timing and animation rules
Output and task lifecycle information

For the exact field-level rules, see the JSON Structure and Field Rules reference.

Preview, render, and delivery

Preview: generate a fast draft to inspect layout and copy
Render: create the final output asset
Delivery: expose the result through polling, a task lookup, or a webhook

For API-specific details, continue to API and Usage.

Schema details: JSON Structure and Field Rules
Runtime flow: API and Usage
Copyable payloads: Examples
Build-from-zero walkthroughs: Tutorials