AI-Powered License Plate Extraction from Images
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This workflow enables seamless extraction of license plate numbers from uploaded images using advanced AI. Simply upload a picture, and the system intelligently identifies and returns the license plate characters, streamlining data capture and automating recognition tasks.
About This Workflow
Unlock the power of Artificial Intelligence to automate license plate recognition (LPR). This n8n workflow provides a user-friendly web form where you can upload an image containing a vehicle. Behind the scenes, it leverages a multimodal Large Language Model (like GPT-4o via OpenRouter) with a precise prompt to identify and extract only the license plate number from the front-most car. The extracted characters are then immediately displayed on a results page, eliminating manual data entry and significantly boosting efficiency for various operational needs.
Key Features
- Simple Web Form Interface: Easily upload images through a dedicated, shareable form.
- Advanced AI-Powered LPR: Utilizes cutting-edge multimodal LLMs (e.g., GPT-4o) for accurate license plate extraction.
- Configurable LLM Provider: Connects to OpenRouter for flexible access to a wide range of language models.
- Precise Data Extraction: Specifically prompted to return only the license plate characters, free from additional text.
- Instant Results Display: View the extracted license plate number immediately upon submission.
How To Use
- Activate the Workflow: Enable the workflow in your n8n instance.
- Access the Form Trigger: Use the generated URL from the 'FromTrigger' node to open the image upload form.
- Upload an Image: Select and upload a
.jpgor.pngimage featuring a car with a visible license plate. - Process with AI: The workflow will automatically send your image and a pre-defined prompt to the configured LLM (GPT-4o via OpenRouter).
- View Results: The extracted license plate number will be displayed on the completion page of the form.
- Customize (Optional): Modify the LLM model or the extraction prompt in the 'Settings' node to fine-tune performance or change extraction criteria.
Apps Used
Workflow JSON
{
"id": "6318878d-1a61-4dd5-b765-a1d84d874ebd",
"name": "AI-Powered License Plate Extraction from Images",
"nodes": 17,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 6318878d-1a61...
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