Index › Products › Microsoft Azure AI Document Intelligence · October 2026 Edition

Microsoft · 1 category · Named, not ranked

Microsoft Azure AI Document Intelligence

18Judge labels

1First choices

2Negative labels

10 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Microsoft Azure AI Document Intelligence was named 6 times in Document processing, where Nanonets led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business26 of 96

under the label threshold

Mid-market11 of 89

under the label threshold

Enterprise20 of 80

under the label threshold

In document processing · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Microsoft Azure AI Document Intelligence for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Intelligent document processing	Data platform	2%	11 of 89	0%	6	under 10 labels · led by Nanonets at 32%

Movement

This is the first edition on this tier, so no move can be computed for Microsoft Azure AI Document Intelligence yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Microsoft Azure AI Document Intelligence across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	1	0	1
GPT-5.4 mini	0	1	0	1
Gemini 3.5 Flash	1	0	0	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	1	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	1	0	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	1	0	1
Muse Glimmer 30B	0	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase1 labelNone

Comparative11 labelsNone

Budget-constrained3 labels1

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative18 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“If you have $0 budget to start, but have a developer: Go with Google Cloud Document AI or Azure AI Document Intelligence.” Gemini 3.5 Flash · Document processing · budget prompt · first choice

“The free tier offers 500 pages/month, and a 40% price cut on custom extraction in June 2024 made it significantly more competitive.” Claude Haiku 4.5 · Document processing · budget prompt · alternative

“Best if you are already on Azure and want a cloud service for document extraction with prebuilt and custom models.” GPT-5.4 mini · Document processing · comparative prompt · alternative

“Strongest support for US regulatory forms (tax, mortgage); supports on-premises deployment via Dedicated Instances.” Qwen 3.7 Flash · Document processing · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Microsoft Azure AI Document Intelligence, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Azure AI Document Intelligence was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Document AI15 of 180Not among the top eight

UiPath Document Understanding14 of 182Not among the top eight

Amazon Textract14 of 181Not among the top eight

Nanonets11 of 182Not among the top eight

ABBYY Vantage10 of 184Not among the top eight

Hyperscience Hypercell10 of 181Not among the top eight

Rossum9 of 181Not among the top eight

Docsumo6 of 182Not among the top eight

Infrrd3 of 180Not among the top eight

Parseur3 of 180Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Microsoft Azure AI Document Intelligence. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 17 of the 18 answers that named Microsoft Azure AI Document Intelligence and are not a share of its labels.

Domains cited

llamaindex.ai10

docsumo.com9

guideflow.com7

raftlabs.com6

g2.com5

gartner.com5

thedigitalprojectmanager.com5

cio.economictimes.indiatimes.com4

grooper.com4

learn.microsoft.comYour site4

Fifty-five of the fifty-nine domain citations in answers naming Microsoft Azure AI Document Intelligence came from somebody else's page.

Pages cited

llamaindex.ai/insights/best-idp-tools8

docsumo.com/blog/the-best-intelligent-document-processing-software7

guideflow.com/blog/intelligent-document-processing-software7

raftlabs.com/blog/top-intelligent-document-processing-companies6

cio.economictimes.indiatimes.com/tools/7-best-idp-solutions-for-enterprises/1298155974

gartner.com/reviews/market/intelligent-document-processing-solutions4

grooper.com/blog_posts/intelligent-document-processing-vendors4

llamaindex.ai/insights/enterprise-idp-software4

Pages are listed as the models cited them.

Search and answers

Where Microsoft Azure AI Document Intelligence stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 90 a month (“microsoft azure ai document intelligence”)
AI search demand for its name, est.: 0 a month
Its own site: It sits on Microsoft's site (microsoft.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 11 of 89 in document processing

Segment leader

32%

Nanonets

First choices: 1 across its categories
Named in: 18 answers
Its own site cited: in 17 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Microsoft Azure AI Document Intelligence

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Microsoft is the company behind Microsoft Azure AI Document Intelligence.

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On record

Company records

Also from Microsoft: Microsoft 365, Microsoft 365 Admin Center, Microsoft 365 Administration, Microsoft 365 Backup, Microsoft 365 Compliance Center, Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft 365 DSC and 164 more

In its own words

Stated by the vendor, not checked

Customers named: Northwestern MedicineSolution HealthSolutionHealth
Not stated on the pages read: Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What Microsoft Azure AI Document Intelligence's own pages state, read October 5, 2026: microsoft.com/bg-bg/ai/use-case/document-care-and-streamline-workflows-with-ai, microsoft.com/de-de/ai/use-case/document-care-and-streamline-workflows-with-ai, microsoft.com/es-es/ai/use-case/document-care-and-streamline-workflows-with-ai, microsoft.com/fi-fi/ai/use-case/document-care-and-streamline-workflows-with-ai, microsoft.com/fr-fr/ai/use-case/document-care-and-streamline-workflows-with-ai. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft Azure AI Document Intelligence's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft Azure AI Document Intelligence, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Microsoft Azure AI Document Intelligence by email, built from the raw record of the edition. It shows:

where Microsoft Azure AI Document Intelligence is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Microsoft Azure AI Document Intelligence, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.