Video Rendering API Workflow: From Schema to Delivered MP4

A production video API is not a single long-running request. Rendering may take longer than an ordinary HTTP timeout, consume billable resources, and depend on remote media. Reliable integrations treat it as a stateful workflow.

RenderingVideo separates task creation from render execution. That makes it possible to validate and store a video definition first, then decide when to spend credits and start work.

The five stages

1. Discover capabilities. Read the deployed schema version and supported clip, animation, transition, and quality options.
2. Prepare the schema. Resolve public assets and validate timing, dimensions, and required fields.
3. Create the task. Store the video definition and receive a task ID.
4. Start rendering. Choose worker count and, when needed, a completion webhook.
5. Deliver the result. Poll task status or process the webhook, then store the final output URL in your application.

Create first, render second

Use your API key only from a trusted backend. The task creation request accepts the full schema and can include organizational fields such as title, category, and metadata.

POST /api/v1/video
Authorization: Bearer sk-your-api-key
Content-Type: application/json

Creating the task does not start a render. This is useful when you require human approval, want to batch work for later, or need an auditable record before using credits.

Start rendering with the task ID:

POST /api/v1/video/:taskId/render
Authorization: Bearer sk-your-api-key
Content-Type: application/json

{
  "num_workers": 5,
  "webhook_url": "https://app.example.com/webhooks/renderingvideo"
}

Render options use webhook_url and num_workers. Output quality comes from the schema dimensions; adding an invented quality field will not change it.

Model task states explicitly

Your database should store the remote task ID, current status, input revision, requested time, final URL, and last error. Keep your own state machine small: queued, rendering, completed, and failed are usually enough for the product UI.

Do not assume every request succeeds on the first attempt. Handle invalid schemas, insufficient credits, remote asset failures, and duplicate render requests as separate cases. Show actionable errors to operators while keeping raw infrastructure details out of end-user messages.

Polling and webhooks

Polling is simple and useful as a fallback. Webhooks reduce unnecessary traffic and deliver completion quickly. A strong integration supports both: accept webhook updates, then confirm the latest task state through the API before performing an irreversible follow-up action.

Webhook endpoints should return quickly. Put expensive work such as downloads, transcoding, publishing, or notifications onto a background queue.

Idempotency in your application

Associate one local job with one RenderingVideo task ID. If a client retries your endpoint, return the existing job instead of creating another task. Before starting a render, check whether the local job already has a render task or a terminal status.

This protects credits and keeps customer history understandable.

A useful production checklist

• API keys remain on the server.
• Schemas are validated before task creation.
• Preview approval happens before paid rendering where appropriate.
• Task IDs are persisted before the response reaches the client.
• Polling has backoff and a maximum duration.
• Webhook processing is quick and repeat-safe.
• Completed files are copied or referenced according to your retention policy.
• Errors include enough context for an operator to retry safely.

Read the API reference for current request and response fields, and call GET /api/v1/capabilities before relying on newer schema features.