Skip to content

Invoice Data Extractor

Example prompt: "When an invoice email arrives in my 'Invoices' Gmail label, extract the vendor, invoice number, amount, and due date, and add a row to my accounting Google Sheet."

How to automate invoice data extraction with GloriaMundo

The Problem

Invoices arrive by email in every conceivable format — PDF attachments, inline HTML tables, plain-text summaries, even images. Someone on the team has to open each one, find the vendor name, invoice number, total amount, and due date, then type those values into a spreadsheet or accounting system. It is repetitive, error-prone work. A transposed digit in the amount or a misread due date can cause payment delays or reconciliation headaches. For businesses that receive dozens of invoices per month, this manual data entry becomes a meaningful time sink.

How GloriaMundo Solves It

We build a workflow that monitors your Gmail for emails matching a specific label or search filter (such as "Invoices"). When a new invoice email arrives, an integration step reads the email content — subject line, body text, and attachment names. An LLM step then extracts the structured fields: vendor name, invoice number, currency, total amount, due date, and any line-item details present in the body. Another integration step appends a new row to your accounting Google Sheet with the extracted data, timestamped and linked back to the original email. Glass Box preview shows you the extracted fields before they are written to the sheet, so you can catch any parsing issues on the first few runs and refine the extraction.

Example Workflow Steps

  1. Trigger (integration): Fires when a new email arrives in Gmail with the "Invoices" label.
  2. Step 1 (integration): Read the email subject, body, and sender details from Gmail.
  3. Step 2 (llm): Extract structured fields from the email content — vendor name, invoice number, amount, currency, due date, and any available line items.
  4. Step 3 (integration): Append a new row to the accounting Google Sheet with the extracted fields and a link to the original email.

Integrations Used

  • Gmail — source of incoming invoice emails, filtered by label or search criteria
  • Google Sheets — destination spreadsheet where extracted invoice data is logged for tracking and reconciliation

Who This Is For

Finance teams, office managers, and freelancers who receive invoices by email and track them in a spreadsheet before entering them into formal accounting software. Particularly useful for small businesses processing 20-50 invoices per month without a dedicated accounts payable system.

Time & Cost Saved

Manually reading and transcribing each invoice takes roughly 3-5 minutes. For a business handling 30 invoices per month, that is 1.5-2.5 hours of data entry. This workflow reduces each invoice to a quick review in the Glass Box preview. Over a year, it saves roughly 18-30 hours of tedious data entry and reduces transcription errors that can delay payments or complicate reconciliation.