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Gemini 2.5 Pro has the highest visual reasoning scores , so I'm putting its OCR to the test. In this video, I replace the Google Vision API in my n8n invoice processing agent to see if Gemini 2.5 Pro can handle real-world, unstructured documents like folded, scratched, and blurry receipts. Let's dive into the capabilities of Google's latest, Gemini 2.5 Pro, and test its optical character recognition on a variety of datasets. This review explores how well the Gemini AI model performs with real-world examples and use cases, showcasing its potential as one of the top AI tools for data science. We'll also be testing various AI agent workflows! To finish, we'll put the system to the ultimate test by batch-processing a folder of over 200 invoices to see its real-world accuracy. 🔗 Mentioned in this Video: My Original Invoice Agent (using Google Vision API): https://youtu.be/OhTZ48lnG2c?si=Z4oH3fqIN-v6wPlK ➡️ GET THE COMPLETE n8n WORKFLOW TEMPLATE Skip the build and get this production-ready workflow, tested on 100+ datasets: https://buy.stripe.com/aFa5kCeRGbnleOJfP8cZa0m ⏰ Timestamps: 00:00 - Intro 00:41 - Gemini 2.5 Pro vs. Google Vision API 01:23 - Testing Gemini 2.5 Pro in Google AI Studio 02:13 - Testing Difficult Receipts in Google Drive 06:10 - n8n Invoice Agent Workflow Overview 07:13 - Gemini 2.5 Pro API in n8n (HTTP Node) 08:41 - Extracting Data & Saving to Google Sheets 11:52 - Final Test w/ more Datasets (200+ Invoices) #n8n #gemini #ocr

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