Invoice processing
AI invoice data extraction
Turn invoices in any layout into structured, validated data. Documind reads PDFs and scanned images, extracts the fields your finance team needs, and hands them to your ERP or accounts payable workflow with a confidence score on every value.
Why invoice automation breaks with traditional OCR
Every supplier formats invoices differently. Template-based OCR has to be configured per layout and falls over on a new vendor, a scanned copy, or a photo taken on a phone. The result is exception queues and manual re-keying. Documind reads invoices the way a person does, understanding the document rather than matching fixed coordinates, so a layout it has never seen still extracts correctly.
Fields Documind extracts from invoices
- Invoice number
- Issue and due dates
- Supplier and buyer details
- Purchase order number
- Line items (description, quantity, unit price)
- Subtotal, tax, and total amounts
- Currency and payment terms
- Bank and IBAN details
You decide the exact output by defining a schema in plain language, so the data lands in the shape your systems already expect.
How it works
- 1
Send the invoice
Upload a PDF or image, or post it to the API from your inbox, ERP, or RPA tool.
- 2
Extract and score
Multiple vision-language models read the invoice, cross-check each other, and score every field.
- 3
Validate and sync
High-confidence fields post straight to your system; uncertain ones are flagged for a quick human check.
Fits your stack
Connect Documind to SAP, Salesforce, HubSpot, UiPath, Zapier, Make, n8n, and Airtable, or call the REST API directly. Related reading: the hidden cost of manual document processing.