This n8n workflow automates the process of analyzing images of book spines to extract titles and authors, verify them against Google Books, and reassemble a normalized list for streamlined management. Starting with a webhook trigger, it captures image URLs passed from a front-end interface. The workflow then analyzes each image using OpenAI’s GPT-4 to identify clearly readable titles and authors, ensuring accuracy and avoiding guesses. It splits the JSON output into individual books, then verifies each title with Google’s Books API to fetch standardized information. The data is normalized and deduplicated before being sent back to the frontend. This workflow is especially useful for libraries, bookstores, or inventory managers looking to digitize and validate book collections efficiently.