WhatsApp Expense Tracker with PostgreSQL & AI Reports

Automate expense tracking via natural language WhatsApp messages, store data in PostgreSQL, and generate AI-powered financial reports instantly.

n8n
WhatsApp Expense Tracker with PostgreSQL & AI Reports

Transform WhatsApp into a personal finance hub with this workflow. Send casual messages like 'Spent $300 on groceries at Walmart' and AI extracts date, category, amount, merchant, and type (expense/income/debt), then logs it securely in PostgreSQL. Intelligent classification routes messages to reports ('show March expenses'), transactions, or general advice, eliminating manual entry and app-switching.

Benefits include zero learning curve, privacy with self-hosted data, instant confirmations, and on-demand analytics. Perfect for freelancers tracking projects, small business owners separating expenses, or anyone ditching spreadsheets. Save hours weekly on bookkeeping while gaining insights like category breakdowns or monthly summaries via AI-generated reports.

Use cases: Daily expense logging during commutes, quick income notes from gigs, tax prep with categorized history, or budgeting chats with AI tips. Integrates WhatsApp webhooks, OpenAI for NLP, PostgreSQL for robust storage, and response nodes for seamless UX—all configurable in n8n.

$24.99
Last updated September 5, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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