Evaluation metric example: String similarity

Say goodbye to guesswork in AI workflows!

This automation brings evaluation logic into your n8n builds — so you can test AI performance with real datasets and see exactly where your flow shines (or struggles). By comparing expected results against actual output, you’ll know how accurate your AI is before deploying it live.

Whether you're working with OCR, NLP, or any AI-driven logic, this tool gives you a reliable QA layer baked right into your automation.

What it does:

🧪 Adds evaluation logic to any n8n workflow using a parallel trigger

🖼️ Extracts handwritten codes from images using AI-powered OCR

📏 Calculates accuracy with a character-level string distance metric

📊 Sends confidence scores back to n8n’s evaluation dashboard

📁 Supports real-world test datasets for controlled scenario validation

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.