JSON to Video

You should define scenes with fields for duration, text or captions, media URLs, and any layout or style hints that matter to your use case. A clear, well-documented schema makes it easier for the workflow to assemble timelines correctly.

It is especially useful for product and developer teams, programmatic and performance marketers, education platforms, and internal tooling teams who want to generate videos automatically from structured data feeds or definitions.

Yes. A core benefit of this workflow is that you can adjust copy, timing, or referenced media directly in JSON, then re-run the workflow to generate updated videos—without going through a manual editing timeline each time.

Common examples include explainers based on event streams, product or feature walkthroughs defined as steps, programmatic campaign creatives using feed data, and recap videos generated from structured logs or lesson metadata.

Each generation consumes credits depending on video length and model settings. It is usually best to prototype on shorter timelines or smaller datasets, then scale up once you are happy with your JSON schema and output format.