The outcome

Process a controlled image queue without leaking credentials, retaining sensitive inputs indefinitely, or accepting unusable vectors.

Step by step

A workflow you can repeat.

  1. 01

    Review the current API terms, privacy policy, output restrictions, pricing, supported formats, pixel limits, retention options, delete endpoint, and downstream AI or ML prohibitions.

  2. 02

    Keep Basic-auth credentials in a secret store, authenticate job owners, validate magic bytes and dimensions, strip unnecessary metadata, and require rights and sensitivity classification.

  3. 03

    Use an official SDK, CLI, or HTTPS API with idempotent job records, explicit output options, retention days, timeout, retry policy, budget guardrail, and slowly ramped concurrency.

  4. 04

    Validate returned file type, parseability, dimensions, colors, path bounds, node count, empty output, visual similarity, lettering, gradients, and destination compatibility before acceptance.

  5. 05

    Delete provider records on schedule, rotate credentials, reconcile account usage, preserve required audit metadata, test partial failure and reruns, and route uncertain vectors to manual review.

Working standard

What good use looks like.

  • Set retention deliberately.
  • Ramp batch concurrency gradually.
  • Reject vectors that fail visual QA.

Official references

Check the current product documentation.