Extract License Plate from Car Image via n8n Form - n8n Workflow | Neura Market
Extract License Plate from Car Image via n8n Form
This n8n workflow uses a form trigger to upload car images and leverages OpenRouter LLMs to extract license plate numbers accurately. Easily adaptable for other image-to-text tasks like summarization or text extraction.
This workflow demonstrates a simple yet powerful way to perform image-to-text analysis in n8n. It starts with a form trigger that allows users to upload an image of a car. The uploaded file is then processed by an LLM via OpenRouter.ai, using a customizable prompt to extract the license plate number. This setup showcases seamless integration of file uploads with AI vision models for quick prototyping.
Benefits include rapid development without custom coding, cost-effective use of various LLMs t
Platform
n8n
Category
Development & IT
Price
$12.99
Creator
Matt Buds
n8n
AI
Computer Vision
License Plate Recognition
Image Analysis
OpenRouter
LLM
Form Trigger
OCR
Data Extraction
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.