Azure Document Intelligence Alternative for Form Recognizer PDF Tables in Excel
Your company runs on Microsoft, so Azure Document Intelligence looks like the obvious way to get tables out of PDFs. Then you find it needs an Azure resource, an endpoint and key, and code that turns JSON back into rows. If the goal is a workbook, upload the PDF here instead: every table comes back on its own sheet, scanned pages included.
For accounting, AP and analyst teams without a developer to spare, and for developers who want XLSX back from an API.
Drop your PDF here or click to browse
PDF files up to 50MB
Upload a statement or report and check the sheet against the original.
The short answer
Azure Document Intelligence (formerly Form Recognizer) reads tables for $10 per 1,000 pages on its Layout model, which is cheap, but it is a developer service: it lives in an Azure subscription and returns JSON, not a spreadsheet. Its free tier only reads the first two pages of a document. For a team that needs PDF tables in Excel and has nobody to build the JSON to workbook step, a per file converter is the practical alternative. Our plans start at $49 a month for 50 files, with OCR and XLSX or CSV output included.
Why teams look for an Azure Document Intelligence alternative
The meter is not the problem. Ten dollars per thousand pages is hard to argue with. The problem is that the service ends at a JSON response, and the person who needs the numbers in Excel on the third business day of the month is usually not the person who can write the rest.
A subscription and a resource first
An Azure subscription, a Document Intelligence resource in a region, its endpoint and key stored somewhere safe, and often a storage account. In most companies each of those goes through IT.
Cells with indexes, not a workbook
The Layout model returns each table as a list of cells with row and column indexes and spans. Someone writes the code that rebuilds the grid, fixes merged headers and keeps amounts numeric.
Two pages per document
The F0 tier caps files at 4 MB and analyzes only the first two pages. Testing it on a real bank statement tells you little about pages three to twelve.
Pick the wrong model, pay three times
Read, Layout, prebuilt, custom template, custom neural, classifier. Calling a custom model where Layout would do costs $30 instead of $10 per 1,000 pages, and meters stack on the same page.
What Azure Document Intelligence costs for table extraction
There are no plans or seats. Each model has its own per page meter on your Azure bill. These are the pay as you go S0 rates for US East from Microsoft's public retail prices API, limited to the models that matter when the goal is tables.
| Model | List price | Returns tables? |
|---|---|---|
| Read (OCR) | $1.50 per 1,000 pages | No, text lines and words only |
| Layout | $10 per 1,000 pages | Yes, cells with row and column indexes, selection marks, reading order |
| Prebuilt models (invoice, receipt, bank statement, W-2, 1099 and others) | $10 per 1,000 pages | Named fields, plus line items on invoices |
| Custom extraction | $30 per 1,000 pages | Fields and tables you label and train |
| Add on capabilities | $6 per 1,000 pages, on top of the model | High resolution, formulas, font detection |
| Commitment tier, Prebuilt 20K | $190 a month for 20,000 pages | Same models, prepaid; unused pages are lost |
Microsoft's service limits page sets 2,000 pages and 500 MB per document on S0, and 4 MB and two pages on the free F0 tier. Word and HTML files are counted in blocks of 3,000 characters. Cloud prices change, so confirm on Azure before you buy. Every meter, including the larger commitment tiers and the legacy Form Recognizer rates, is broken down in our Azure Document Intelligence pricing guide.
Azure Document Intelligence vs PDFxlsx on five monthly workloads
The Azure columns are the Azure bill only, at list price, on the two meters a table job lands on. They leave out the engineering time to build and maintain the JSON to Excel step, which is the real cost for a finance team and the reason this comparison exists.
| Monthly workload | Pages | Layout model | Custom model | PDFxlsx plan |
|---|---|---|---|---|
| 40 one page vendor invoices | 40 | $0.40 | $1.20 | Starter, $49 |
| 45 twelve page bank statements | 540 | $5.40 | $16.20 | Starter, $49 |
| 120 eight page AP aging reports | 960 | $9.60 | $28.80 | Plus, $99 |
| 150 thirty page brokerage statements | 4,500 | $45.00 | $135.00 | Plus, $99 |
| 2,000 one page receipts | 2,000 | $20.00 | $60.00 | Pro, $199 |
On the raw Azure bill, Document Intelligence wins every row on the Layout model, and it is not close. Forty invoices cost forty cents. Only the brokerage statements, 4,500 pages on a custom model, cost more than our Plus plan. If you have a developer who can build and own the pipeline, Azure is the cheaper way to read pages, and we would say so to anyone who asked.
Price the pipeline, not the page
A working setup means the resource, a script that sends files and polls for results, code that rebuilds tables from cells and spans, handling for amounts in parentheses and headers that repeat on every page, plus retries for throttling. One developer day on that costs more than a year of our Starter plan at $288.
Then ask who runs it at close
The people who need the numbers are staff accountants, AP clerks and analysts. If every conversion waits on whoever maintains the script, the low page rate does nothing for the close. A browser upload any of them can use, with batches of up to 20 files on Plus and Pro, usually does.
Azure Document Intelligence and PDFxlsx side by side
Two different kinds of product that overlap on one job: getting tables out of PDFs. Where Azure is stronger, the table says so.
| Question | Azure Document Intelligence | PDFxlsx |
|---|---|---|
| What you get back | An analyze result in JSON (or Markdown from Layout): pages, lines, table cells, fields | An XLSX or CSV file, each table on its own sheet; JSON tables through the API |
| Who can use it | Developers through the REST API and SDKs; testers in Document Intelligence Studio | Anyone with a browser; developers through the API on Pro |
| Setup before the first file | Azure subscription, resource, endpoint and key | An account |
| Billing unit | Per page, per model, on your Azure bill | Per file, flat monthly plan |
| Raw cost per page | Lower: one to three cents a page | $49 for 50 files, $99 for 500, $199 unlimited |
| Document size | Up to 2,000 pages and 500 MB per document on S0 | One upload per file, up to 50 MB |
| Named fields, custom training, classification | Yes, prebuilt models for invoices, receipts, IDs and US tax forms, plus trainable custom models | No; the output is the table as printed |
| Scanned PDFs | Strong OCR, including handwriting | OCR runs automatically on pages without a text layer |
| Security and data residency | Inside your own Azure tenant and region, under your policies | Hosted service; files processed on our servers |
| Team access | Through Azure role based access control | 1 seat on Starter, up to 5 on Plus, unlimited on Pro |
| Try before paying | F0 tier: first two pages of each document, 4 MB files | 3 whole files on a free account, downloadable with a watermark sheet |
Where Azure Document Intelligence is the better buy
If you are building an application or an internal system on Azure that reads documents at volume, it is hard to beat on price per page, and the documents never leave your tenant. Prebuilt invoice and tax form models, trainable custom models and classifiers cover jobs a table converter does not try to do.
Where a converter wins
If the destination is Excel and the people doing the work are not developers, the cheapest per page API is still the long way round. A controller pulling schedules from an audited report or an AP clerk checking invoice lines gets the workbook in one step, and nobody owns a pipeline.
Who switches, and what they convert
Power Automate builders
A flow that was meant to read statements ran into AI Builder credits and premium connector licensing. The costed routes are laid out on Power Automate PDF to Excel, including calling a per file API from the flow.
Accounting teams after a stalled pilot
The proof of concept read ten sample invoices and never reached production. The team still has to convert invoice PDFs to Excel and statements every month, now.
Developers who want XLSX back
Some teams keep an API call but drop the cells to workbook code. The PDF to Excel API returns the file itself from three endpoints.
From PDF to workbook with nothing to provision
Upload the PDF
In the browser, or POST it to the API on Pro. No resource, no key, no model to pick.
Tables are found
Digital pages are parsed directly; scanned pages go through OCR first.
Rows are rebuilt for you
Headers, dates and amounts land in their own columns, amounts kept numeric so totals add up.
Download XLSX or CSV
Or run up to 20 files in one batch on Plus and Pro and download them together.
Comparing all three clouds before you decide? The same arithmetic is done for AWS on the Amazon Textract alternative page and for Google on the Google Document AI alternative page, and the per page rates of every major OCR API sit in one table in our roundup of the best OCR API for tables. Teams choosing between hosted extraction platforms rather than raw APIs will find the Mindee alternative and Nanonets alternative comparisons closer to their decision.
If you only need the grid and not named fields, the PDF table extractor page shows what comes out of a messy multi table PDF, and scanned files are covered on OCR PDF to Excel.
Azure Document Intelligence alternative questions
It depends on who does the work. Developers usually weigh it against Amazon Textract and Google Document AI, which are also per page APIs that return JSON. Accountants, analysts and AP teams that only need the tables from their PDFs in Excel get further with a converter that returns an XLSX file, because there is no resource to create and no code to maintain.
Yes. Form Recognizer is the old name of the same Azure service. Microsoft renamed it Azure AI Document Intelligence, but older SDK packages, tutorials and some billing lines still say Form Recognizer. An alternative to one is an alternative to the other.
Not on its own. The Layout model finds tables and returns them as cells with row and column indexes inside a JSON result, or as Markdown. Turning that into a workbook is code you write, for example a Python script that rebuilds each table and saves it with pandas or openpyxl. PDFxlsx hands back the XLSX file directly.
On the standard S0 tier in US East, Read (OCR) is $1.50 per 1,000 pages, the Layout model and prebuilt models are $10 per 1,000 pages, and custom extraction models are $30 per 1,000 pages. Commitment tiers start at $190 a month for 20,000 prebuilt pages.
There is a free F0 tier for testing, but Microsoft limits it to 4 MB files and analyzes only the first two pages of each document. A twelve page bank statement on F0 returns two pages of tables. Real workloads run on the paid S0 tier, billed per page from the first page.
You can try models in Document Intelligence Studio without code, but production use means an Azure subscription, a Document Intelligence resource with its endpoint and key, and calls from the REST API or the .NET, Java, JavaScript or Python SDKs. Power Automate users reach a version of it through AI Builder, which is licensed separately.
Microsoft documents a maximum of 2,000 pages and 500 MB per document on the S0 tier, and 15 analyze requests per second by default. On the free F0 tier the limits are 4 MB and two pages. Word and HTML files are billed per 3,000 characters rather than per page.
Yes. PDFxlsx has a REST API on the Pro plan at $199 a month with unlimited conversions: POST a PDF, poll one status endpoint, then download XLSX or CSV, or read the parsed tables as JSON. There is no resource, key rotation or model selection to manage.
Other PDF to Excel alternatives
Lido PDF to Excel Alternative, Lido Pricing Compared for Teams That Outgrow 100 Pages
Lido costs $29 a month for 100 pages and one user, then $7,000 a year for Scale. Compare per file PDF to Excel plans with team seats and OCR included.
AlternativesRossum Alternative, Rossum Pricing After the Coupa Acquisition for Teams Below the $18,000 Floor
Rossum Starter is $18,000 a year on a one year minimum, and Coupa bought Rossum in May 2026. Compare monthly PDF to Excel plans for AP and finance teams.
AlternativesDocuPipe Alternative and DocuPipe Pricing for Teams That Need PDF Tables in Excel
DocuPipe bills 3 credits per page to parse and extract, from $90 a month for 3,000 credits. Compare per file PDF to Excel plans for statements and invoices.
AlternativesApryse Pricing and PDFTron Pricing for Teams That Only Need PDF to Excel
Apryse quotes its Server SDK and sells PDF to Excel as an add-on module, with a $24,351 median contract on Vendr. Compare a $199 a month PDF to Excel API.
Skip the Azure resource and convert the PDF
Upload the statement or report your pilot never got to, check the sheet against the original, and choose a plan by how many files you convert a month. Monthly plans cancel any time, and yearly billing is $288 for Starter. Details are on the pricing page.