This n8n workflow automates the process of extracting license plate numbers from uploaded images. It begins with a user uploading a vehicle image via a form webhook. The workflow then uses a language model to analyze the image and identify the license plate number, which is then displayed back to the user.
Step-by-step, the workflow functions as follows:
1. The user uploads an image through a form trigger, which captures the image file.
2. The workflow sets up parameters including a prompt and specifies the AI model to be used.
3. The image is sent to an AI language model (via OpenRouter) that is capable of processing images and extracting text.
4. The AI analyzes the image, identifies, and extracts the license plate number using a predefined prompt.
5. The extracted license plate information is returned and displayed on a result page for the user.
This setup is useful for automating vehicle identification tasks, such as parking lot management, toll collection, or security checks, by converting vehicle images into readable license plate data efficiently and accurately.
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