I will automate your invoice processing with ocr and ai
I build automation and AI systems, and I run nine of my own
About this Gig
Invoices land in your inbox as PDFs, and someone still retypes them into a spreadsheet by hand. I build the pipeline that ends that. I wire your inbox to an AI pipeline that reads every invoice, classifies it (supplier, date, line items, totals), and writes it out as structured data into your spreadsheet, accounting tool, or database, no more manual re-keying. I built this exact pipeline for a live production business (BakeryOS), tested against a 25-invoice reliability corpus before it touched real books. It is a shipped system, not a concept. Read-only where it counts: the pipeline reads your inbox and writes to your output, and never moves money or edits your books without your rules, you keep full control and an audit trail. I test the pipeline against your real documents before it goes live, and stay on through your first live batch to catch edge cases. New here with zero reviews, the pipeline itself runs in production today. Questions before you order? Message me any time, I answer fast.
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?
No. The pipeline reads your inbox and writes to your chosen output. It never moves money or edits your books without your explicit rules. You keep full control and an audit trail.
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. Full refund if you are not happy with the delivered pipeline, 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.

