Automate License Plate Extraction from Uploaded Images via Form
This workflow extracts license plate numbers from car images submitted through an n8n form, utilizing OpenRouter's LLM for image-to-text conversion.
This workflow demonstrates how to automate the extraction of license plate numbers from images uploaded via an n8n form. It leverages OpenRouter's language model to perform image-to-text analysis. Users can customize the workflow to handle various image-to-text tasks by modifying the prompt in the Settings node. The workflow is ideal for prototyping and can be adapted for more specific use cases with dedicated API services.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
Related bundle
Content Repurposing Engine
8 hand-picked workflows for $29.00.
That is $3.63 each, vs $4.99 for this one alone.
View bundleSecure checkout powered by Stripe
Support
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.
Related AI workflows
- Launch Your First AI-Powered Chatbot with Actionable Tools$9.99
- Build a WhatsApp Assistant with Memory, Google Suite, Multi-AI, Research, and Imaging$24.99
- Automate AI Video Creation and YouTube Upload with Google Sheets$14.99
- Automate Blog Post Creation and Publishing with GPT, Leonardo AI, and WordPress$14.99
- Automate SEO Keyword Generation with ChatGPT from Google Sheets$3.99
- Email Agent$500.99
More from Carlos Diaz
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.