Vendor Invoice Data Capture and OCR Extraction
AP teams receive invoices from hundreds of vendors, each with its own layout, field labels and PDF quality — some are clean digital exports, others are scanned faxes with skewed text. Manual keying of vendor, line items, tax and totals into the accounting system takes five to ten minutes per invoice and is the most repetitive, error-prone task in the AP function. Transposed digits and missed tax lines routinely surface weeks later as posting errors, and the backlog of unentered invoices is often the real reason payment runs slip.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 8-12 hrs/week for a mid-sized AP team.
How the automation works
We deploy an extraction pipeline trained across varied invoice layouts rather than a single fixed template, so it reads vendor name, invoice and PO numbers, line-item description, quantity, unit price, tax and total regardless of format. Extracted fields are validated against vendor master data and simple arithmetic checks (do the line totals sum to the invoice total) before anything is written to your accounting system, and any invoice the model isn't confident about is routed to a reviewer with the low-confidence fields highlighted rather than silently guessed at.
Process flow
- 01
Invoice arrives trigger
Invoices from email, a shared scan folder or EDI feed are picked up automatically as they land, with no manual upload step.
- 02
Classify document type ai
The system identifies invoice, credit note or statement before extraction, since each needs different field handling downstream.
- 03
Extract structured fields ai
Vendor, PO reference, line items, quantities, unit prices, tax rate and totals are extracted regardless of the vendor's specific template.
- 04
Validate arithmetic and vendor match ai
Line totals are checked against the invoice total and the vendor is matched to your master data; mismatches are flagged rather than posted.
- 05
Push to accounting system integration
Validated invoices are written into Xero, QuickBooks or NetSuite as draft bills ready for coding and approval.
- 06
Route low-confidence extractions output
Any invoice with a low-confidence field, such as a smudged scan or an unfamiliar layout, is routed to a reviewer with the uncertain fields highlighted.
Inputs
- Vendor invoices (PDF, scanned image, email)
- Vendor master data
- Chart of accounts
- Historical invoice templates per vendor
Outputs
- Structured invoice records in your accounting system
- Draft bills ready for coding and approval
- Low-confidence review queue
- Extraction accuracy report by vendor
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Multi-currency invoices with tax calculated in a different currency than the line total require the extraction to carry both currency codes through, not just a single numeric total, or conversion errors slip in silently.
- Scanned invoices with poor image quality or handwritten annotations will always have a lower confidence ceiling than digital PDFs — set a genuinely conservative auto-post threshold for scans rather than applying the same threshold used for clean digital invoices.
- Line-item tables that span multiple pages or wrap awkwardly are a common source of dropped rows; the extraction needs explicit page-continuation handling, not just per-page parsing.
- Vendors who change their invoice template mid-relationship (new logo, reordered columns) will temporarily depress extraction confidence — treat a sudden accuracy drop for one vendor as a template-change signal to investigate, not a system fault.
Frequently asked questions
Does this work with scanned paper invoices, not just digital PDFs?
Yes, though accuracy on scans depends on image quality — genuinely poor scans are routed for manual review rather than force-extracted with low confidence.
How does it handle invoices in different currencies or languages?
The extraction model handles multiple languages and currencies, carrying the original currency code through so nothing gets silently converted at the wrong rate.
What happens with invoices from a vendor we've never seen before?
New vendors typically extract at slightly lower initial confidence since there's no template history yet; the system flags these for review until a pattern is established, usually within a few invoices.
Can this post directly to our accounting system without review?
You control the confidence threshold — most clients start with all invoices routing to a reviewer for coding and approval, then move high-confidence, repeat-vendor invoices to straight-through posting once accuracy is proven.