Read and structure receipts automatically with a Vision Agent

Merchant, date, total, tax and the individual line items, returned as structured fields rather than as a block of text somebody still has to read. That is the difference that matters downstream: a total you can reconcile against a claim, not a transcription you have to check first.

No, and the distinction is practical rather than pedantic. OCR gives you the characters on the page. This works out which of those characters is the merchant, which is the tax, and which of four numbers near the bottom is the amount that should be reimbursed. Reading a receipt and understanding one are different jobs.

That is the normal case rather than the exception. Real receipts are creased, faded, curled at the edges and photographed at an angle in bad light by somebody standing next to their car. Every result carries a confidence score, so the ones that genuinely cannot be read are flagged rather than guessed at.

Somebody photographs the receipt when they have it, not three weeks later at their desk, and the fields arrive already extracted. See receipt digitisation for reimbursements and expense claims for the finance, accounts payable and field claims versions of that.

That is usually where the time goes. Claims come back because a total is missing, a date is wrong or the image is unreadable, and each round trip costs somebody in finance and somebody in the field. Catching the gap at the moment of capture is cheaper than catching it at approval.

In the workflow that asked for it, alongside the image it came from, and from there into whatever system handles the claim. Teams push it onward through the API, or via Slack, Zapier and Microsoft Power Automate, so nobody has to work in a new tool to see a receipt come through.

Receipts are what this agent is tuned for. For other document types text extraction is the broader tool, and label validation handles printed dates, batch codes and serial numbers on products rather than paperwork.

Yes, and it is a reason to have both on one platform. A technician can photograph the work they did and the parts receipt in the same visit, in the same app, and both end up on the same record. The alternative is a verification tool, an expense tool, and somebody reconciling the two by hand.

Batches rather than one at a time. Upload a run of receipts and the structured data comes back for each, which is what a month-end backlog actually looks like rather than the tidy single-receipt demo everyone shows.