Invoice automation gets sold as one big product. In practice it's five small steps, and the tools differ in how many of them they cover:
- Capture the invoice from an inbox, folder, phone photo or supplier portal.
- Extract supplier, invoice number, dates, tax and totals, sometimes line items.
- Check for duplicates, unknown suppliers and totals that don't add up.
- Approve: send anything unusual to a person.
- Post the bill to your accounting software with the PDF attached.
Here's how the options stack up, cheapest first.
Start with what your accounting software already does
- Xero: Hubdoc gives you an email address to forward bills to, extracts supplier, amount, invoice number and due date, and publishes to Xero with the document attached.
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QuickBooks Online: set up a forwarding address ending in
@assist.intuit.com. Forwarded bills are read and details like dates and amounts get filled in. Gmail users can auto-forward supplier emails to it. - Zoho Books: autoscan reads uploaded or emailed bills and pulls vendor, date, amount and line items. Each organisation gets an address for forwarding files into its Inbox.
- TallyPrime: its strength is import, not reading. You can bring transactions in from Excel with a mapping template (Alt+O, then Import) or through its XML interface. The usual pattern is to extract elsewhere and import.
Built-in capture is the cheapest place to start. It's weakest on unusual layouts, long line-item tables and custom approval rules.
Dedicated AP tools
These go deeper than built-ins:
- Dext Prepare: made for small businesses and their accountants. Email, app or upload in; supplier, totals, tax and line items out; duplicates flagged; publishes to Xero, QuickBooks, Sage and others.
- Rossum: AI document processing for bigger finance teams. Handles complex line items and new layouts, plus GL and tax coding, PO matching, approvals and duplicate detection.
- Nanonets: AI extraction with AP workflows on top: header fields, line items, PO matching, approval routing, connections to QuickBooks Online, Xero, NetSuite and SAP.
Worth it with steady, high volumes, several approvers or POs to match. For a few dozen invoices a month, probably more than you need.
Google and Microsoft document AI
If you want extraction inside your own workflow:
- Google Document AI: the Invoice Parser returns invoice number, supplier, dates, amounts, tax, VAT details and line items. There's an Expense Parser for receipts and a Custom Extractor for your own fields.
- Azure AI Document Intelligence: the prebuilt invoice model reads invoices, utility bills, sales and purchase orders from PDFs, scans and photos, in 27 languages, returning key fields and line items as JSON.
Neither posts anything to your books on its own. They suit custom approval processes, ERPs without good connectors, or strict rules on where data goes.
Custom flows in n8n, Make or Zapier
When your process doesn't fit a packaged tool (invoices arriving in several places, approval rules that depend on supplier or amount, data going to more than one system), build it. The shape is simple:
email trigger → AI reads the PDF (GPT, Claude, Gemini or Document AI)
→ rule-based checks
→ create bill in Xero / QuickBooks / Zoho Books
(or write to a sheet for Tally to import)
- n8n gives the most control, can be self-hosted so invoice data stays on your server, and has templates for emailed PDF invoices.
- Make is good for visual flows with lots of branching, like different checks per supplier.
- Zapier is quickest to set up, with AI by Zapier steps on paid plans.
Before you choose
Put your own invoices in front of you and check:
- Where do invoices arrive today, and how many a month from how many suppliers?
- Does the tool read line items or just totals? (Many charge more for line items.)
- Does it handle your tax details, like GSTIN and HSN codes on Indian invoices, or VAT numbers?
- Does it connect directly to your accounting software, or only via a spreadsheet?
- How does it handle duplicates and unknown suppliers?
- Where is the data stored, and who can see it?
The single most useful thing you can do: collect 20 to 30 real invoices, including the messy ones, and run every shortlisted tool on the same set. The differences show up fast.
The order we'd set it up in
- Turn on the capture feature you already have and see how far it gets on real invoices.
- If it struggles, add an AI step that reads invoices and runs your checks before anything reaches your books.
- Send anything unusual to one person, with a note on what looked wrong.
- Post clean invoices with the original attached, filed by supplier and month.
- Review the flagged ones for the first few weeks and tighten the rules.
On clear digital PDFs, modern extraction is generally reliable. Blurry photos, handwriting and odd layouts are harder, which is why the check and review steps matter more than the extraction itself.
Originally published on dizilus.com.
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