n8n Workflow: Rights-Verified Video Watermark Removal API Jobs

Rights-verified video watermark removal jobs—validated, submitted, and audited

This n8n workflow checks that each video watermark-removal request includes confirmed rights and valid inputs, then submits jobs to your configured watermark-cleanup API (or runs offline demo fixtures). It polls results with capped attempts and outputs an audit manifest with provider job IDs, final states, and result URLs.

What this workflow does

• Loads configuration on manual start, including the provider base URL, a paid-processing safeguard (allowPaidProcessing), and up to five jobs (video URL, rights reference, and removal regions).
• Validates job eligibility by confirming rights are verified, the rights reference is meaningful, the video URL uses HTTPS, and removal regions are time-bounded 0–1 frame ratios within allowed bounds.
• Builds provider requests per job with an idempotency key and a normalized payload including regions, audio preference, and rights metadata.
• Supports demo vs live modes:
  • Demo mode: simulates completed provider responses without making network calls.
  • Live mode: submits each job once to POST /jobs and classifies responses as queued, rejected, error, or invalid.
• Polls job status for queued jobs by calling GET /jobs/{jobId} up to a fixed maximum number of attempts, ending as completed, failed, or manual follow-up.
• Outputs an audit manifest per job: rights reference, provider job ID, terminal status, poll attempts, and any result URL.

Use cases

• Automation for SaaS operators who need rights-verified video processing with traceable job outcomes.
• QA/offline testing using demo mode to validate payload rules before enabling live API calls.
• Engineering workflows that require provider-safe replays via idempotency keys and capped polling loops.

Technical details

• n8n nodes used: if, set, code, wait, sticky note, http request.
• Provider endpoints: POST /jobs and GET /jobs/{jobId}.
• Designed for an n8n automation workflow targeting predictable job states and an audit-first result.