🔬 Categorize Revolut transactions automatically with GPT-4 and Supabase

⚡ 291 views · 🔬 Document Extraction & Analysis

Description

Revolut Extracts Analyzer

This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically.

Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending.

How it works

• Get Categories from Supabase
• Download & Transform
• Loop Over Items
• LLM Categorizer
• Insert into Supabase

How to use

• Start with the manual trigger node or replace it with a schedule/webhook.
• Connect Google Drive to provide Revolut CSV files.
• Ensure Supabase has tables for transactions and categories.
• Extend with notifications, reports, or BI tools.

Requirements

• Google Drive for CSV files
• Supabase tables for categories & transactions
• LLM provider (OpenAI/Gemini)

🔗 Nodes Used

Google Drive, Supabase, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, Extract from File

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup