AI Document Verification
Accounts payable teams spend most of their day being a very expensive optical character reader — reading an invoice, typing what it says into a system that already holds the purchase order it should be matched against.
Extraction, then validation, then matching
The value is not in reading the document. It is in the third step. Extracting an invoice total is useful; confirming that the total matches the purchase order and the goods receipt is what removes the work.
Extract
Structured data is pulled from the uploaded invoice or document rather than being typed.
Validate
Extracted values are checked for internal consistency before anything downstream trusts them.
Match
Values are compared against existing records in the platform, which is where discrepancies surface.
Why being inside the ERP matters
A standalone extraction tool hands you a spreadsheet and leaves the matching to a person. Because document verification runs on the same platform as purchase orders, goods receipts and supplier invoices, the records to match against are already there.
Built on Google Gemini
Extraction uses Google's Gemini models for text and vision. Indian invoices are an unusually hard case — inconsistent layouts, mixed scripts, stamps over text, photographs rather than scans — and general-purpose vision models handle that variety considerably better than template-based OCR.
What it does not do
It does not approve invoices for you. Extraction and matching surface what agrees and what does not; the decision stays with the person accountable for it. Any system claiming otherwise is describing a liability rather than a feature.
Try it on your own site
A self-service trial provisions a working tenant with the standard catalogue already loaded, so you can run a real process rather than watch a demo.
Start a free trialFrequently asked questions
What kinds of documents can it read?
Invoices and similar business documents, uploaded as scans or photographs. Extraction uses vision and text models rather than fixed templates.
Does it match against our existing records?
Yes. Because it runs on the same platform as purchase orders, goods receipts and supplier invoices, extracted values are compared against records already held.
Which AI models are used?
Google Gemini text and vision models.
Does it approve invoices automatically?
No. It surfaces what matches and what does not. Approval remains a human decision.
Related
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