The problem: a desk full of bills

"My accountant spends the first week of every month typing bills." Supplier invoices arrive as printed sheets, handwritten challans, PDFs by email and photos on WhatsApp. Someone copies the supplier name, date, bill number, items, quantities, VAT and totals into a spreadsheet or accounting software, line by line. It is slow and dull, and typing mistakes only show up when the supplier's statement does not match yours.

The answer is to let software read each bill and fill in the fields, while a person checks and approves before anything reaches your accounts.

How automatic extraction works

Current AI models can read a clear photo or PDF of an invoice and pick out the fields you care about, including tables of line items. They handle printed Bangla and English reasonably well; neat handwriting is possible, messy handwriting much less so. The flow usually looks like this:

  1. One inbox for bills. Every bill goes to one place: a dedicated email address, a shared folder, or a WhatsApp number where staff forward photos.
  2. Extraction. The system reads each file and pulls out supplier, date, bill number, line items, quantities, unit prices, VAT and total.
  3. Automatic checks. Do the line items add up to the total? Has this bill number from this supplier been entered before? Is the supplier on your approved list? Is the date sensible? Anything that fails is flagged.
  4. Review screen. A staff member sees the original image next to the extracted fields, corrects anything wrong and approves it.
  5. Posting. Approved bills go into your accounting software, if it can import a file or offers an API, or into a clean spreadsheet your accountant works from.
  6. Filing. The original image is stored and linked to the entry, so you can find it in seconds when an auditor or supplier asks.

What you need to decide first

  • Which fields you really need. More fields mean more checking.
  • Your supplier list, with one agreed spelling for each name.
  • How bills map to your accounts or expense categories, such as raw material, transport or utilities.
  • Who approves, and up to what amount one person may approve alone.

Trade-offs and common mistakes

  • Skipping the review. Extraction is good, not perfect, and one misread digit in a total is costly. Keep a person in the loop, at least until you have seen how the system performs on your own bills over a few months.
  • Poor photos. Blurry, folded or shadowed bills cause many of the errors. A short guide for staff on how to photograph a bill saves a lot of correcting.
  • Expecting it to fix your categories. If your expense heads are unclear today, automation will just be unclear faster.
  • Sending financial documents to random free tools. Use a setup where you know where the data goes and who can see it.

In-house work versus expert help

You can start in-house: set up the single inbox, clean the supplier list and agree the categories. Some accounting software also has its own bill-scanning features, which are worth checking before you build anything. An expert helps when you want extraction tuned to your suppliers' formats, the checks built in, and a link into your accounting software, which needs careful testing. This is the kind of work I do under AI and workflow automation.

Your first step

For the next two weeks, send every supplier bill to one email address or folder, and nowhere else. That single habit makes later automation simple, and you will already find bills faster. Once the bills are in one place, let's talk about automating the rest.

Related service AI and workflow automation Claude-powered assistants and automated workflows that take repetitive work off your team, while people keep the final say.