I will automate your invoice processing with ocr and ai
I build web scrapers, automations and the UI on top of them
About this Gig
Invoices arrive in your inbox as PDFs, and someone still retypes them into a spreadsheet. That job can go.
I connect your inbox to a pipeline that reads each invoice. It pulls out the supplier, date, line items and totals, then writes them as rows into your spreadsheet, accounting tool or database. The same pipeline already runs in a live business of mine, and it was checked against 25 real invoices before it touched its books.
Each invoice is checked before it lands. Rows whose totals reconcile go to your books, and the rest go to an exceptions sheet for you to check. It never moves money, and you keep an audit trail of what it did.
Send me a few sample invoices first, especially if some are scans rather than digital PDFs, and I'll confirm it reads them before you order. After launch I stay on for your first live batch, because the odd format always turns up in week one.
There are no reviews on this gig yet. Not happy with the first delivery? Full refund, and you keep the work.
Convert from:
Work model:
Project-based
Convert to:
XLS, XLSX
•
CSV
Purpose:
Business
My Portfolio
FAQ
What do you need from me to get started?
A few real invoice samples (anonymized is fine), the inbox they land in, and where you want the data to go: spreadsheet, Xero, QuickBooks, or a database.
Will this touch my accounting software or move money?
It never moves money. I set it to write rows to the output you choose, and only rows whose totals reconcile reach your books. The rest wait on an exceptions sheet for you to check, and you keep an audit trail of every run.
Why should I use a seller with no reviews yet?
This service line is new here, so there are no reviews yet. The pipeline behind it runs in a live production business today. Not happy with the first delivery? Full refund, and you keep the work.
What if my invoices are more complex than a standard PDF?
Send me a handful of real samples up front. I test the pipeline against your actual formats before it goes live, so edge cases get caught before launch, not after.
