Categorize Revolut Transactions Automatically with GPT-4 and Supabase

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Built by Jose Luis Segura Jose Luis Segura
Created on June 13, 2026

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 (7)

Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Code
n8n-nodes-base.code
Crypto
n8n-nodes-base.crypto
Google Drive
n8n-nodes-base.googleDrive
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
Supabase
n8n-nodes-base.supabase