Azure AI Document Intelligence
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Intelligent document processing | Data platform | 0% | 22 of 89 | 27% | 15 | criticized challenger |
Movement
By model
How each model treated Azure AI Document Intelligence across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 2 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 1 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Best suited if your organization is already on Azure; otherwise, integration overhead can be higher.” GLM 4.7 FlashX · Document processing · budget prompt · alternative
“Best if You Already Use Microsoft 365... Caveat: Requires a developer or technical person to set up” Qwen 3.7 Flash · Document processing · budget prompt · alternative
“For cloud-native scalability, Amazon Textract or Azure Document Intelligence are strong options.” MiniMax M2.5 · Document processing · direct prompt · alternative
“A developer-led team already standardized on Azure | Azure AI Document Intelligence” GPT-6 Luna · Document processing · direct 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.
“Avoid if you are non-technical: Azure AI and AWS Textract” Qwen 3.7 Flash · Document processing · negative prompt · hard negative
“center on managed analysis APIs, so buyers assemble most of the operational queue, review, routing, and export application around them” Claude Haiku 4.5 · Document processing · comparative prompt · soft negative
“can take significant development to assemble into an end-to-end solution” GPT-6 Luna · Document processing · negative prompt · soft negative
“Azure AI Document Intelligence” Gemini 3.5 Flash · Document processing · negative prompt · soft negative
Named alongside
The products named in the same answers as Azure AI Document Intelligence, over the 47 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure AI Document Intelligence was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 45 of the 47 answers that named Azure AI Document Intelligence and are not a share of its labels.
Domains cited
No domain is on file for Azure AI Document Intelligence, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Azure AI Document Intelligence stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 1,000 a month (“azure ai document intelligence”)
- AI search demand for its name, est.
- 44 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This edition- First choices
- 1 across its categories
- Named in
- 47 answers
- Its own site cited
- No site on file to match
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.
Names read as Azure AI Document Intelligence
Follow 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
Azure is the company behind Azure AI Document Intelligence.ShowHide
The company
On record
Company records- Also from Azure
- Azure ACR, Azure AD Conditional Access, Azure AD Graph API, Azure AI Foundry, Azure AI Gateway, Azure AI Search, Azure API Management, Azure API Management Consumption tier and 79 more
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 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 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 Azure AI Document Intelligence by email, built from the raw record of the edition. It shows:
- where 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 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.