Azure Document Intelligence vs AWS Textract: Receipt and Invoice OCR Compared for 2026

Last updated July 2026.

Azure AI Document Intelligence and AWS Textract cost almost exactly the same to read a receipt: roughly $0.01 a page for the prebuilt receipt and expense models. Both return structured JSON with merchant, date, tax, total, and line items. Neither exports Excel or CSV. Neither can be used without a cloud account and code. Because the pricing and the field coverage are so close, the honest deciding factor is not accuracy or cost, it is which cloud your company already runs on, and whether you have an engineer to build the last mile at all.

Azure Document Intelligence vs AWS Textract at a glance

Everything in this table was taken from Microsoft's and Amazon's own pricing pages in July 2026. Confirm before you commit, because cloud prices move and vary by region.

Which is cheaper, Azure Document Intelligence or AWS Textract?

For receipts and invoices, they are close enough that price should not decide it. Azure's prebuilt models, which include receipt and invoice, are listed at $10 per 1,000 pages on the pay-as-you-go S0 tier, which works out to a cent a page. Textract's AnalyzeExpense, the API built for receipts and invoices, lands at roughly the same cent a page. Any difference between them is smaller than the cost of one engineer-day, and building the integration will cost you many engineer-days.

Where the gap does open is at the raw-text tier. Azure's Read model, which returns text with no named fields, is $1.50 per 1,000 pages. Textract's plain text detection is also priced well below the expense API. If all you need is a transcript of the page, both clouds are cheap. The premium you pay on either platform is for the model that knows a receipt has a total.

The number that never appears on either pricing page is the one that dominates your budget. Both services hand you JSON. Turning that JSON into an accounting-ready spreadsheet means writing the code that maps entities to columns, handling the documents that fail, and building a screen where a human can fix a misread total before it lands in the ledger. Price that work, then compare.

Does Azure Document Intelligence or AWS Textract export to Excel?

Neither does. Both return JSON and only JSON. This surprises people more than it should, because both vendors market these services as document understanding, and understanding sounds like it should end in something you can open. Azure adds a specific trap: XLSX appears in the Document Intelligence documentation as a supported input format for the Read and Layout models, which is the exact opposite of an export. If you are searching for the download button, there is not one on either platform.

Which one is more accurate on receipts?

Honest answer: on typical printed receipts and invoices, both are strong, and published head-to-head accuracy claims are worth very little because they depend entirely on the document set used. Crumpled thermal receipts, faded ink, photos taken at an angle, and unusual layouts separate these engines far more than any benchmark does. The only accuracy test that means anything is the one you run on your own documents, which is why both vendors offer a free tier and a test console. Use them, on your worst receipts, not your cleanest.

Is Azure Document Intelligence the same as Form Recognizer?

Yes. Microsoft renamed Azure Form Recognizer to Azure AI Document Intelligence, so the two names describe one service. A great deal of documentation, tutorials, and Stack Overflow answers still use the old name, and the prebuilt receipt and invoice models are the same models either way. If a comparison article treats them as two products, it is out of date.

Which should I choose?

Choose the cloud you already live in. That sounds like a dodge, and it is actually the most useful advice in this article. If your identity, your compliance review, your billing, and your engineers are already on Azure, adopting Textract means a second cloud account, a second security review, and a second set of credentials to rotate, all to save a fraction of a cent a page. The same is true in reverse. Neither service is enough better than the other to justify that overhead.

Choose Azure if you are a Microsoft shop, want custom model training with a mature studio for labeling, or your documents include W-2s and other US tax forms that Azure prebuilds. Choose Textract if you are an AWS shop, already move documents through S3 and Lambda, or want to combine expense analysis with table and form extraction in the same pipeline.

And choose neither if nobody on your team is going to write the code. That is not a snide remark, it is the most common outcome we see. Both services assume a developer, a cloud account, and a maintained pipeline. Teams that pick a cloud API to solve a bookkeeping problem often spend a quarter building what they thought they were buying. If the invoices are ultimately headed for approval and payment, that pipeline is a project in itself, and dedicated accounts payable automation covers ground neither raw API was designed to reach.

What to use if you just need the data in a spreadsheet

If the goal is receipt and invoice data in Excel rather than an integration, the cloud API is the part you can skip entirely. Receipt OCR software reads the same documents in a browser, shows every field for review, and the receipt to Excel converter lands them in a sheet with no cloud project at all. For vendor bills, invoice OCR software handles header fields and line items.

If you are still weighing the cloud vendors, the Azure Document Intelligence alternative and AWS Textract alternative pages go deeper on each one's pricing and gaps, the Google Document AI alternative covers the third big cloud, and the OCR software pillar explains the difference between raw OCR, template OCR, and AI extraction. Developers who want parsed fields as JSON without building the mapping layer can call the receipt OCR API directly.

The short version

Azure Document Intelligence and AWS Textract are close enough on price, field coverage, and accuracy that the comparison most buyers are actually running is the wrong one. Both cost about a cent a page, both return JSON, both need a cloud account and code, and neither gives you a spreadsheet. Pick the cloud you already run on if you are building. If you are not building, pick a tool that ends where you need it to end.