This n8n workflow creates an automated process for handling image analysis requests using a webhook. When a POST request is received, it triggers the creation of a face detection task via the Nero AI API and subsequently checks the task’s status. If the task completes successfully, the workflow responds with the results. Key nodes include a webhook for receiving requests, HTTP request nodes for interacting with Nero’s API, conditional logic to verify task completion, and sticky notes for guidance. This setup is practical for integrating AI services into WordPress or other platforms, enabling automated image processing workflows that respond immediately to user submissions.
AI Image Analysis via Webhook and Nero API
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | httpRequest, if, respondToWebhook, stickyNote, wait, webhook |
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