AI License Plate Extractor Agent via OpenRouter
Integrates with:
Overview
Instantly Extract License Plate Data with this AI Agent
This n8n AI agent automates extracting license plate numbers from images. Upload an image of a vehicle, and the agent uses advanced vision AI models (e.g., GPT-4o accessed via OpenRouter) to identify and return the plate characters. Perfect for saving time on manual data entry.
Key Features & Benefits
- Leverages powerful vision-language models (e.g., GPT-4o) through OpenRouter for accurate plate detection.
- User-friendly image upload via a simple web form.
- Flexible: Connects to OpenRouter, giving you access to a variety of LLMs.
- Outputs just the license plate characters, clean and ready for your next step.
- Customize the AI's instructions (prompt) and model choice directly in n8n.
Use Cases
- Automate vehicle entry/exit logging for parking management.
- Streamline inventory updates for car dealerships by capturing plate info from photos.
- Speed up data collection for security or compliance checks involving vehicle identification.
- Build custom tools for local traffic analysis or community watch programs.
Prerequisites
- An n8n instance (Cloud or self-hosted).
- An OpenRouter API Key with access to a vision-capable LLM (e.g., OpenAI's GPT-4o is used by default).
- Ensure n8n Langchain nodes are available in your instance.
Setup Instructions
- Download the workflow JSON file.
- Import it into your n8n instance.
- In the 'OpenRouter LLM' node, select your OpenRouter API credential. If you don't have one, create it using your OpenRouter API Key.
- Optional: Go to the 'Settings' node to change the
model(default isopenai/gpt-4o) or customize thepromptfor the AI. - Activate the workflow. You can trigger it using the form URL provided by the 'FromTrigger' node – just upload an image.
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