Accounts receivable automation

Receivables automation covers money coming in, and it is a genuinely different problem from payables. In payables you receive documents you did not create and must understand them. In receivables you created the invoices, so you already have that data. The hard part is matching incoming payments against them when customers pay in ways that do not line up with how you billed.

Reads digital PDFs, scans and phone photos. Exports to Excel, CSV and JSON.

Upload an invoice and see the extracted data

Compare the extracted fields and line items against your own document.

PDF, JPG, PNG, BMP, HEIC, TIFF

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Cash application is the hard part

The core difficulty in AR is cash application: deciding which invoices a payment settles. It sounds trivial and is not, because customers rarely pay one invoice with one clean payment.

They pay six invoices with one transfer. They deduct a credit note without telling you. They short-pay by a disputed amount. They pay an amount that matches no combination of open invoices because someone applied an old credit. Each of these leaves cash sitting unapplied while someone works out the arithmetic.

Where document extraction fits

The document that resolves most of this is the remittance advice: the customer’s statement of what their payment covers. It arrives as a PDF attachment, an email body, a spreadsheet, or a page in a bank portal, in whatever format the customer’s system produces.

Reading remittances automatically turns cash application from detective work into a matching exercise. Extract the invoice numbers and amounts the customer says they are paying, compare against your open items, and the exceptions are the only thing left to investigate.

Collections follow from clean data

Chasing overdue invoices is much easier when your ledger is accurate. If cash application lags by a week, your aged debt report is a week wrong, and there is nothing more damaging to a customer relationship than a dunning email about an invoice they paid on time.

Automating the application step is therefore a prerequisite for automating collections, not a separate project. Get the matching right and the reminders take care of themselves.

AR and AP on one platform

The same extraction engine reads both a supplier invoice and a customer remittance. Both are business documents with structured content in an unstructured layout. What differs is what happens next: payables routes for approval, receivables matches against open items.

If you are evaluating a combined platform, check that receivables is a real workflow rather than payables with the labels changed. The matching logic is the tell.

Frequently asked questions

AP automation handles invoices you receive and must pay. AR automation handles invoices you issue and must collect, including matching incoming payments to those invoices. Different documents, different workflows, same underlying extraction technology.

It is the process of deciding which open invoices an incoming payment settles, then clearing those invoices in your ledger. It is the step that turns "money arrived" into "this customer no longer owes us for these invoices".

Yes. Remittance documents are extracted like any other business document: the invoice references, amounts and any deductions are pulled out as structured data you can match against open items.

No. It feeds it. Your accounting system remains the ledger of record; automation reduces the manual work of getting accurate data into it.

Run your own invoices through it

Upload a few of your least tidy supplier invoices and compare the extracted fields against the documents. That tells you more than any feature list.