Queue consent-checked video background-removal jobs with an HTTP API QA manifest

by Shisan Hua · 14 views · created 2026-09-21 · Engineering, AI Summarization

What this workflow does

This workflow has 14 nodes and runs manually, when you click “Execute workflow”. It uses only n8n's built-in nodes.

How it runs

Trigger: Manually, when you click “Execute workflow”.

1. Configuration (Edit Fields (Set)): sets or maps fields
2. Validate consent and output settings (Code): runs custom JavaScript code
3. Build provider requests (Code): runs custom JavaScript code
4. Use offline demo fixtures (If): checks a condition and branches into true / false
5. Simulate alpha-ready result (Code): runs custom JavaScript code
6. Submit each approved job once (HTTP Request): calls an HTTP API (POST)
7. Check alpha and delivery metadata (Code): runs custom JavaScript code
8. Classify submit response (Code): runs custom JavaScript code
9. Create background QA manifest (Code): runs custom JavaScript code
10. Queued for bounded polling (If): checks a condition and branches into true / false

…plus 3 more steps. See the full node list below.

Before you upgrade to n8n 3.0

Nodes used (6)

• Manual Triggern8n-nodes-base.manualTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Coden8n-nodes-base.code
• Ifn8n-nodes-base.if
• HTTP Requestn8n-nodes-base.httpRequest
• Waitn8n-nodes-base.wait

From the author

Quick overview This workflow queues up to five consent-checked video background-removal jobs to a provider API (or runs an offline demo), polls for completion with a bounded retry loop, and produces a QA manifest that flags whether alpha and audio metadata…

View the original on n8n.io → Check your own copy