Templates / Scan WhatsApp receipt photos and track expenses using Wati and GPT-4o

Scan WhatsApp receipt photos and track expenses using Wati and GPT-4o

Unknown

by Jitesh Dugar ✓ · 314 views · created 2026-02-24 · Document Extraction, AI Chatbot

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This workflow has 11 nodes and runs on Wati events (message received). Along the way it connects Google Sheets and Wati (community). It also calls api.openai.com over HTTP.

How it runs

Trigger: On Wati events (message received).

  1. Route Message (Switch): routes items into 2 branches
  2. Get a media file (Wati): get media
  3. Google Sheets: uses Google Sheets
  4. Prepare Image for OpenAI (Code): runs custom JavaScript code
  5. Build Monthly Report (Code): runs custom JavaScript code
  6. OpenAI – Extract Receipt Data (HTTP Request): calls api.openai.com (POST)
  7. Send Expenditure Report - month (Wati): uses Wati
  8. Parse & Validate Expense (Code): runs custom JavaScript code
  9. Google Sheets: append
  10. Send Expenditure message (Wati): uses Wati

Services it uses

Google SheetsWati (community)

HTTP calls to: api.openai.com

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 2 community packages, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that n8n-nodes-wati is verified or supports 3.0 (used in Wati Trigger).
  • Check that n8n-nodes-wati is verified or supports 3.0 (used in Get a media file1, Send Expenditure message, Send Expenditure Report - month).

Nodes used (6)

From the author

Transform messy receipt photos into a structured, searchable expense database in seconds. This workflow automates the entire journey from a WhatsApp message to a live Google Sheets entry by combining WATI for communication, OpenAI Vision for extraction, and…

Excerpt from Jitesh Dugar's description on n8n.io.

View the original on n8n.io → Check your own copy

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