This n8n workflow automates the process of verifying if portrait photos meet passport standards, leveraging AI vision models for accuracy. It begins with a manual trigger for testing, then imports multiple photo URLs from Google Drive. Each photo is downloaded and resized to optimize AI analysis. A language model verifies if the photos comply with official UK passport photo guidelines, including aspects like clarity, background, and facial visibility. The workflow is ideal for passport photo validation services, HR onboarding, or any scenario requiring quick, reliable image compliance checks. It streamlines manual reviews, ensuring consistent quality and saving time.
Automated Passport Photo Validity Checker with AI
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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