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Finance & Admin

Invoice Data Extractor

Every invoice PDF becomes a clean row in your books — no manual data entry.

Saves about ~2 hrs per week

What it does

  • Reads invoice PDFs from email or a folder
  • Extracts number, date, amount, and vendor
  • Converts each invoice into a ledger-ready row
  • Flags duplicates and mismatches for review

How it works

  1. Invoice PDF lands in the watch folder
  2. AI extracts the key fields
  3. Row written to the ledger sheet
  4. Duplicates and anomalies flagged

What's included

  • PDF parsing
  • Field extraction
  • Ledger mapping

Set it up yourself

Follow these 4 steps in order. You will need accounts for: Gmail, Sheets.

Step 1: Set the watch folder

  1. Create the 'Invoices Inbox' Drive folder and/or Gmail label for incoming supplier invoices.
  2. Configure a filter for common invoice senders ('Sales invoice', 'your invoice from…').
  3. Wire the workflow to the folder/label trigger.
  4. Make sure it ignores internal documents (only watch correctly labeled mail/folder).
  5. Test with a real invoice PDF.

Watch out: A filter tuned to invoice subject-line patterns beats label-everything — fewer false triggers means a cleaner ledger.

Step 2: Add the field prompt

  1. Build: 'Read this invoice. Return JSON: {invoiceNumber, date, dueDate, vendor, amount, currency, lineItems[]} with the final total as amount.'
  2. Instruct to prefer the 'total to pay' figure over subtotals.
  3. Ask for the vendor's registered name, not just the logo text.
  4. Paste with API key.
  5. Test on 5 invoices from different vendors.

Watch out: Different vendors layout differently — test a mix (HTML receipt-style, PDF accounting-software style, scanned print) so the extractor doesn't only work on one.

Step 3: Map the ledger columns

  1. Ledger columns: Date, Vendor, Invoice #, Amount, Currency, Due Date, Status.
  2. Match the columns to your books' import format.
  3. Have the workflow append a row per invoice.
  4. Add a Status column (New / Approved / Paid) you can flip.
  5. Test the row output.

Watch out: Match the exact column names your accounting tool expects for CSV import — the automation's value is zero if the export still needs manual reformatting.

Step 4: Add the dup check

  1. Before appending, search the ledger for the same invoice number + vendor.
  2. If found, flag the new one as 'Possible duplicate' instead of appending silently.
  3. Also flag amounts wildly out of the normal range for that vendor.
  4. Log duplicates to a review tab.
  5. Test with a double-submitted invoice.

Watch out: The dup check protects your books from double-entry — a twice-processed invoice is a payment error waiting to happen.

Frequently asked questions

What does the Invoice Data Extractor automation do?

Every invoice PDF becomes a clean row in your books — no manual data entry. Reads invoice PDFs from email or a folder

How much time does Invoice Data Extractor save?

It is estimated to save ~2 hrs per week. Actual savings depend on your volume.

Which tools does Invoice Data Extractor use?

It works with Gmail and Sheets.

What does Invoice Data Extractor include?

PDF parsing, Field extraction, Ledger mapping.

Can I set up Invoice Data Extractor myself?

Yes. The do-it-yourself guide on this page walks through 4 steps, from getting access to testing the finished automation.