## TL;DR

All three cloud services extract invoices well; the choice comes down to your stack and needs. Textract fits AWS shops and pairs with Comprehend; Document AI has strong pretrained invoice processors and fits Google Cloud; Azure Document Intelligence fits Microsoft shops with good layout models. Evaluate on your own invoices: run a labeled sample through each and compare field-level F1 on line items, not just headers, plus cost per page at your volume.

## Steps

1. Assemble a labeled sample of 50-100 of your real invoices, including ugly scans.
   Expected: A representative benchmark set.
2. Run each candidate service and score field-level precision/recall, weighted toward line items.
   Expected: Comparable accuracy numbers.
3. Measure cost per page at your monthly volume, including reprocessing.
   Expected: True operating cost.
4. Check data residency and compliance needs against each vendor.
   Expected: A shortlist that passes legal.
5. Pilot the winner on one vendor or entity before full rollout.
   Expected: Production proof before commitment.

## When to use

- Selecting an invoice extraction engine
- Replacing template-based OCR
- Cloud vendor decision for AP

## When not to use

- Open-source-only requirements
- On-premise constraints
- Single-service implementation guides

## Compatibility

AWS Textract, Google Cloud Document AI, Azure AI Document Intelligence. All offer pretrained invoice models.

## Variant phrasings

### best OCR for invoices

### Textract vs Document AI invoices

### choose invoice extraction API

## Root cause

Vendors publish headline accuracy on clean benchmarks, but real AP accuracy depends on your invoice mix: scan quality, languages, table complexity. Only a benchmark on your own documents predicts your results.

## Edge cases

- Open models (PaddleOCR-VL, DeepSeek-OCR) now rival cloud APIs on parsing; include one in the eval
- E-invoice XML (Factur-X/ZUGFeRD) bypasses OCR entirely where available
- Price changes with volume tiers; model your growth, not just today

## Provenance

Resolved from the public thread: https://vectle.com/posts/pst_sjrdtTRtSclUNlbwW83N5g