How to Eliminate Manual Data Entry in Business Travel Expense Management with Automation Workflow

Hey everyone :waving_hand:

I’m excited to share a new n8n workflow I’ve put together:
:backhand_index_pointing_right: Extract Data from Trip Receipts with GPT-4-1 Mini, Google Sheets, and Email Notifications
:link: Workflow: n8n.io/workflows/6896

It automates pulling structured data out of receipt images, logging them in Google Sheets, and sending email alerts.

:bullseye: What this workflow does

This workflow is all about automating receipt processing:

  • You supply receipt images (e.g. for travel)
  • Extract key data from them (dates, amounts, vendor, etc.) using GPT-4-1 Mini
  • Append the extracted data to a Google Sheet
  • Notify via email with a summary of what was extracted

:magnifying_glass_tilted_left: Step-by-Step Flow

  1. Trigger — Manually trigger or send in receipt images.
  2. OCR / Text Extraction — Use an OCR node (or image-to-text) to read the receipt content.
  3. Data Extraction — Send the extracted text to an OpenAI model (GPT-4-1 Mini) with a prompt to parse out structured fields: date, vendor, total, etc.
  4. Google Sheets — Write the structured data into a specified Google Sheet (add as new row).
  5. Email Notification — Send an email summarizing what was extracted (so you can verify, get alerts, or forward).

:gear: Requirements and Setup

  • OpenAI API key (configured in n8n)
  • Google Sheets credentials (with access to the target sheet)
  • Email node credentials (SMTP or provider setup)
  • OCR/image-to-text setup if receipts are in image format

:wrench: Possible Customizations

  • Trigger via web-hook or upload folder instead of manual trigger
  • Add vendor-specific prompt templates for better accuracy
  • Add validation (flag mismatched totals)
  • Store receipt images in GCS/S3 with links in sheet/email
  • Swap out email with Slack/MS Teams/SMS notifications
  • Batch processing on a schedule

:video_camera: Demo Video

I also made a walkthrough video so you can see exactly how it works:

Watch the demo

:light_bulb: Would love to hear your feedback:

  • Have you tried something similar?
  • What other data sources/outputs would make this more useful?
  • How would you extend this in your projects?

Thanks for checking it out :rocket: