Automation
Stop retyping invoices into a spreadsheet
Every business has someone whose job involves reading a document and typing the contents into another tool. An invoice into QuickBooks. A receipt into a spreadsheet. A signed proposal into the CRM. It is the most automatable work in your business, and almost nobody automates it.
4 min read · published May 17, 2026
The cost is not the salary
Manual data entry feels cheap because the line item on payroll is small. The real cost is the errors. A 7 read as a 1. A subtotal copied without the tax. A vendor name spelled three different ways across three months, so the search never finds it.
Every error costs about an hour of accounting cleanup. Not the cost of typing it. The cost of finding the mistake six weeks later when the numbers do not match.
What a document extractor actually does
You hand it the document. PDF, image, or text. It returns structured JSON: vendor, customer, totals, line items, dates, currency. Every field comes back with a confidence score so anything sketchy gets flagged for a human glance.
That JSON drops straight into your accounting tool, your CRM, or a spreadsheet. The human reads one card on a screen, hits Approve, and moves on.
What it does not do
Make decisions you would not. The AI extracts. A human approves. If the model is below 80% confident on the total, it routes to your inbox. You stay in the loop on anything that matters.
Cost vs. payroll
A typical extraction costs about a cent on Claude. Five hundred invoices a month runs you five dollars in model fees. The setup costs more than the running. By month two it has paid for itself in errors avoided.
- Per extraction: about $0.01 in model fees
- Setup: $1,500-$2,000 one-time
- Monthly: $149-$399 depending on volume
- Vs. one full-time AP person: roughly one tenth the cost
How we know it works
Same as the other demos. We run it on our own invoices and proposals. The version on the demos page is the same engine that runs for clients. Paste in an invoice and watch it.