Efficiently extract precise image editing coordinates from AI outputs using n8n, streamlining your image processing workflow and boosting productivity.
This workflow is manually triggered to process an incoming data structure, likely from an Artificial Intelligence (AI) or Large Language Model (LLM) service. Its core function, as demonstrated by the 'Get Variables' node, is to parse a JSON string embedded within the AI's text output and extract specific coordinates. These 'coords' are intended to define an area for subsequent image manipulation operations, such as cropping, resizing, or other edits. While not fully visible, the workflow's name 'Editimage_Update_Webhook' suggests that after obtaining these coordinates, it would proceed to perform an image editing action and then update another system or service via an HTTP request or webhook, leveraging the extracted coordinate data. This setup is ideal for scenarios where an AI identifies regions of interest for automated image processing.
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Complete setup guide
Efficiently extract precise image editing coordinates from AI outputs using n8n, streamlining your image processing workflow and boosting productivity.
Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your Http Request and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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