Which invoice extraction service fits?
Google Document AI, Azure Document Intelligence and Amazon Textract all extract invoice data; none of that proves an invoice should be paid. Start with your cloud and supplier documents.
Where will the workflow run?
Our fit suggestionDocumentation-based suggestion.
The differences that matter
[1] Source reference
On a small screen, scroll the table horizontally to read every product.
| What to check | Google CloudDocument AIInvoice Parser [1] | Microsoft AzureDocument IntelligencePrebuilt invoice [4] | Amazon Web ServicesTextractAnalyzeExpense [5] |
|---|---|---|---|
| Invoice entry point | Pretrained Invoice Parser [1] | prebuilt-invoice model [4] | AnalyzeExpense API [5] |
| Header and line items | Supplier, invoice totals, tax, dates and line items [1] | Invoice fields and line items from PDFs, scans and photos [4] | Summary fields and line-item groups for invoices and receipts [5] |
| Field handling | Raw and normalized values for supported fields [2] | Structured JSON with extracted invoice data [4] | Standard field taxonomy, such as PO_NUMBER and UNIT_PRICE [5] |
| Supplier-specific formats | Uptrain supported Invoice Parser versions with labeled data [3] | Test your supplier samples in Document Intelligence Studio [4] | Test your documents against expense analysis output [5] |
| Important boundary | General OCR language coverage differs from Invoice Parser coverage [1] | File support varies by model; prebuilt invoice is not general Office parsing [4] | Detection confidence and geometry are evidence, not payment authorization [5] |
Before you choose
- Measure accuracy per field, not just per document.
- Include scans, credits, mixed units and missing values.
- Compare processing, review and integration costs together.
Test one real workflow.
A procurement pipeline still needs duplicate checks, supplier identity, currency and unit normalization, the approved PO version, receipts and an exception queue. Keep the original document beside any value someone must verify.
Extraction stops before payment approval
- Extraction services
- Google Invoice Parser, Azure prebuilt invoice and Amazon AnalyzeExpense propose structured fields
- Purchasing validation
- Compare the original document, PO and receipt
- Payment authorization
- Separate approved finance control
View data
| Evidence | Meaning |
|---|---|
| Extraction services | Google Invoice Parser, Azure prebuilt invoice and Amazon AnalyzeExpense propose structured fields |
| Purchasing validation | Compare the original document, PO and receipt |
| Payment authorization | Separate approved finance control |
Conceptual boundary from official service documentation. No measured product scores.
Download imageSources & method
Official documentation, checked 9 Oct 2026. Capabilities and access can change. No hands-on ranking or performance benchmark is claimed. Fit suggestions above are our interpretation.
Back to comparison- Google Cloud: Processor list and Invoice Parserdocs.cloud.google.com
- Google Cloud: Normalizationdocs.cloud.google.com
- Google Cloud: Uptrain a pretrained processordocs.cloud.google.com
- Microsoft: Document Intelligence invoice modellearn.microsoft.com
- AWS: Analyzing invoices and receiptsdocs.aws.amazon.com