Azure Document Intelligence Pricing and Form Recognizer Cost

Oct 6, 2026

Extract data from an invoice or receipt

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Azure Document Intelligence pricing for invoices is $10 per 1,000 pages on the prebuilt Invoice model, which works out to one cent per invoice page. The Read OCR model costs $1.50 per 1,000 pages, custom extraction models cost $30 per 1,000, and add-on features such as query fields or high resolution are charged on top. A free tier covers 500 pages a month but only reads the first two pages of each document.

The figures below are Microsoft's published pay-as-you-go and commitment tier list prices in US dollars for the East US region, taken from the Azure retail price list in October 2026. Azure Document Intelligence is the service that used to be called Azure Form Recognizer, so older quotes and blog posts under that name refer to the same meters. Below you will find every price that matters for accounts payable, worked costs at real invoice volumes, the commitment tiers, and an honest view of when to build on Azure and when to buy a finished invoice tool.

Azure Document Intelligence pricing by model

You pay per page analyzed, and the rate depends on which model reads the page. There is no subscription fee on the standard S0 tier; usage is added to your monthly Azure bill.

Model or featureWhat it returnsPrice per 1,000 pagesPer page
ReadPrinted and handwritten text, lines and words$1.50 (first 1M pages), $0.60 above 1M$0.0015
LayoutText plus tables, selection marks and document structure$10$0.01
Prebuilt InvoiceVendor, customer, invoice number, dates, totals, tax and line items$10$0.01
Prebuilt Receipt, ID, W-2, 1098, Contract and othersFields for that document type$10$0.01
Custom extractionFields from a template or neural model you train$30$0.03
Custom generative extractionFields described in a schema, extracted by a generative model$30$0.03
Custom classificationSplits and labels mixed document types$3$0.003
Query fieldsExtra fields you ask for by name on a prebuilt or layout call$10 extra$0.01 extra
Add-ons (high resolution, font, formula)Better reading of small print, font styles, math$6 extra$0.006 extra
Custom neural model trainingTraining timeFirst 10 hours a month free, then $3 an hour

Two billing rules surprise AP teams. First, the service analyzes every page of a document unless you send a page range, so a 12-page invoice with a remittance stub and terms pages is billed as 12 pages. Second, query fields and add-ons stack: a prebuilt Invoice call with query fields is $20 per 1,000 pages, not $10.

How much does Azure Document Intelligence cost per invoice?

On the prebuilt Invoice model, Azure Document Intelligence costs $0.01 per invoice page. A one-page invoice costs one cent, a three-page invoice three cents. If you add query fields to capture a job number or a PO reference the standard model misses, the price rises to two cents a page. If you train a custom model because your vendor layouts are unusual, it becomes three cents a page, plus training hours past the free ten.

That is the same per-page rate as the AWS Textract Analyze Expense price of $0.01 a page, and the same order as Google Document AI pricing of $0.10 per invoice document of up to ten pages. The three big clouds price invoice fields almost identically; the difference between them is in billing units and in what you have to build around the API.

Azure Document Intelligence cost at 1,000 to 35,000 invoices a month

Here is the API fee alone at common AP volumes, assuming one page per invoice, next to our published plans. PayablesAgent also prices by page, so the counts line up.

Invoices a monthPrebuilt InvoiceInvoice + query fieldsCustom extractionPayablesAgent plan that covers it
1,000$10$20$30Starter $49 (2,500 pages, 1 seat)
2,500$25$50$75Starter $49
10,000$100$200$300Plus $149 (10,000 pages, 3 seats, QuickBooks Online export)
35,000$350$700$1,050Pro $499 (35,000 pages, 5 seats, API)

On the raw prebuilt fee, Azure is cheaper than our plans at every volume, and we would rather say so than hide it. With query fields the API costs about the same as our Starter plan at 2,500 pages and more than Plus at 10,000, and on custom extraction our plans cost less than the API alone at every volume in the table. The bigger question is what you still have to pay for before a clerk can use the output, which is covered further down.

Azure Document Intelligence commitment tier pricing

For steady, large workloads Microsoft sells monthly commitment tiers. You prepay a block of pages at a lower rate, and pages beyond the block are billed at a stated overage rate. These are the cloud (Azure-hosted) prices for prebuilt models, which include Invoice.

Prebuilt commitment tierMonthly priceEffective per 1,000 pagesOverage per 1,000 pages
20,000 pages$190$9.50$9.50
100,000 pages$900$9.00$9.00
500,000 pages$4,000$8.00$8.00
1,000,000 pages$7,500$7.50$7.50

Custom extraction has its own tiers: $540 a month for 20,000 pages, $2,400 for 100,000, $10,500 for 500,000 and $18,000 for 1,000,000. Connected containers, which run the models on your own infrastructure while reporting usage to Azure, are priced a little lower, for example $152 a month for 20,000 prebuilt pages and $720 for 100,000. Disconnected containers for air-gapped sites are sold by the year, such as $8,640 a year for 100,000 prebuilt pages a month.

The 20,000-page tier saves $10 a month against pay as you go. Commitments only pay off when your volume is high and predictable, and unused pages in a block do not roll over.

Is Azure Document Intelligence free?

Azure Document Intelligence has a free F0 tier for testing, not for production. It allows 500 pages a month, reads only the first two pages of any document, caps files at 4 MB and accepts one analyze request per second. A three-page invoice on F0 comes back with page three missing. Once you move to the paid S0 tier, every page is billed.

Azure Form Recognizer pricing

Azure Form Recognizer pricing is now Azure Document Intelligence pricing. Microsoft renamed the service, and the Azure price list still carries a few legacy Form Recognizer meters at the same rates: $10 per 1,000 prebuilt pages. One legacy meter differs: Form Recognizer custom pages are listed at $50 per 1,000, while current Document Intelligence custom extraction is $30, so check which meter an old resource is billing against before you budget a migration.

What Azure Document Intelligence does not include

Document Intelligence returns JSON. Everything between that JSON and an approved bill in QuickBooks, NetSuite or Sage Intacct is yours to build and run.

Ingestion and orchestration

Invoices arrive by email, vendor portal and scan. Someone has to collect them, put them in Blob Storage or send them to the API, poll for results and handle the 429 errors that appear when you exceed 15 analyze requests per second on S0. Logic Apps, Functions and storage are each billed separately.

A review screen for clerks

Every field comes back with a confidence score. Low-confidence fields need a person to compare them against the page and correct them. Document Intelligence Studio is a developer workbench for testing models, not a daily review queue for an AP team, so you build that screen or export to a spreadsheet and check by hand.

Mapping to your accounting system

The Invoice model returns fields such as VendorName, InvoiceId, InvoiceTotal and an Items array. Your ledger wants a vendor bill with a matched vendor record, GL accounts and tax codes. Building and maintaining that mapping is usually the largest cost in an Azure invoice project, and it never shows up on the Azure bill.

Other document types on the same contract

The prebuilt catalog also covers receipts, W-2s, 1098 forms and contracts at the same $10 per 1,000 pages. The Contract model returns parties, dates and jurisdictions, not the rent schedules and renewal options a real estate team tracks; if your actual backlog is commercial leases, purpose-built lease abstraction software will get you the abstract without another integration project.

Azure Document Intelligence vs a finished invoice extraction tool

Azure Document IntelligencePayablesAgent
Pricing modelPer page, pay as you go or monthly commitment$49, $149 or $499 a month, flat
Price for 10,000 one-page invoices$100 prebuilt, $200 with query fields, plus Azure services$149 on Plus
Who uses itDevelopers through the REST API and SDKsAP clerks in a web app; developers through the API on Pro
Line itemsYes, in the Items fieldYes, on every plan
Review screenBuild your ownIncluded, fields next to the original page
ExportsJSONExcel and CSV on every plan, QuickBooks Online on Plus, JSON through the API on Pro
SetupAzure subscription, resource, keys, storage, polling codeCreate an account and upload

Should you build on Azure or buy an invoice tool?

Build on Azure Document Intelligence if your company already runs on Azure, you have developers who will own the pipeline, and invoice reading is one step in a larger system you are writing anyway. At a cent a page the API fee will rarely be your problem, and commitment tiers bring it down further at scale.

Buy a finished tool if the people doing the work are AP clerks or bookkeepers, if you need Excel, CSV or QuickBooks Online files instead of JSON, or if nobody wants to maintain storage triggers, retry logic and field mappings. Then the real comparison is $149 a month against a developer's time, and the developer is the expensive part. Teams that want to see how we compare with the other clouds and with packaged tools can read our roundup of the best OCR software for invoice processing.

The quickest way to decide is to test with your own invoices. Upload 20 recent vendor bills, including scanned and multi-page ones, check the line item extraction against the originals, and export a batch in the format your ledger imports. Developers can compare our JSON with Azure's response in the API documentation, and page limits for every plan are on the pricing page.

Put this to work on your own documents

Upload an invoice or receipt and see the vendor, dates, totals and line items come back as structured data you can export to Excel, CSV or QuickBooks.