This n8n workflow verifies the suitability of portrait photos for passport applications using AI vision models. It streamlines photo validation by importing images from Google Drive, resizing them for optimal analysis, and then using an AI language model to assess compliance with passport photo standards based on UK government guidelines. The process begins with a manual trigger, followed by uploading multiple photos, downloading them, resizing as needed, and then evaluating each photo’s validity in an automated manner. The structured output provides detailed feedback on whether each photo meets the criteria, making it highly practical for photo verification tasks in administrative or travel-related applications.
Automated Passport Photo Validity Checker
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, editImage, googleDrive, manualTrigger, set, splitOut, stickyNote |
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