Andrei

Andrei

Founder, DueBuddy — invoices into clean

About

I build small tools that remove boring work. DueBuddy reads incoming invoices — PDF, photo, scan, XML, QR — into clean data (supplier, number, dates, amounts, line items, VAT) and a file your accountant can load: DATEV EXTF, 1C, UBL, CSV, Excel, JSON. It also sends polite payment reminders to your own clients, from your own mailbox. The rule I care about most: when a field can't be confirmed, it is left empty and flagged, not guessed. On receipts the total comes from the fiscal QR code — the number the register itself signed. No DATEV API and no access to your 1C — you upload the file yourself. Your clients' money never passes through us.

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Forums

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6d ago

How do you handle the moment your invoice reader isn't sure about a field?

For anyone who processes supplier invoices for a living: the part that eats the evening isn't understanding the invoice, it's retyping it. Same fields, ten different layouts, and the totals don't always match the lines. Two rules I ended up with: 1) Never let the tool fill a field it isn't sure about. A guessed total looks exactly like a correct total until the accountant finds it three weeks later. An empty field with a flag costs ten seconds. 2) The biggest number on a receipt isn't necessarily the total. I once saw a reading come back with 190.00 while the register had printed 832.50 190 was one line item with a discount. The fiscal QR code holds the total the register itself signed. Curious how others do it: leave the field blank and flag it, let it guess and fix later, or block the document until a human confirms? And do you reconcile the total against something independent, or trust the extraction?
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