Every category where a model named Amazon Textract 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	4%	7 of 89	14%	28	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Amazon Textract 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 Amazon Textract 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	Negative	Labels
Claude Haiku 4.5	1	1	0	0	2
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	1	0	1	2
Perplexity Sonar	0	1	0	1	2
Grok 4.1 Fast	0	2	3	0	5
Mistral Small	0	0	1	0	1
DeepSeek V4 Flash	0	2	0	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	1	1	2	0	4
GPT-6 Luna	0	1	0	1	2
Muse Glimmer 30B	0	2	0	0	2

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

Direct12 labelsNone

Paraphrase0 labelsNone

Comparative25 labelsNone

Budget-constrained17 labels3

Scale-constrained10 labelsNone

Negative13 labelsNone

First choiceAlternativeMentionNegative77 labels in all, every segment counted; 3 of the 3 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.

“I would suggest starting with Google Cloud Document AI or Amazon Textract” MiniMax M2.5 · Document processing · budget prompt · first choice

“If cost is the primary constraint, Amazon Textract is hard to beat” Claude Haiku 4.5 · Document processing · budget prompt · first choice

“If you're already on AWS and need just extraction APIs, Textract's 3-month free tier and pay-per-page model is the cheapest to trial.” Muse Glimmer 30B · Document processing · budget prompt · alternative

“Best for: Tech-savvy startups and companies wanting to scale volume up and down without fixed monthly software overhead.” Gemini 3.5 Flash · Document processing · budget 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

“Be especially cautious if... custom extraction is developer-centric and that handwriting and language support need testing.” GPT-6 Luna · Document processing · negative prompt · soft negative

“"Raw" Cloud Provider APIs (Without a Custom Interface) * Examples: Standalone use of AWS Textract” Gemini 3.5 Flash · Document processing · negative prompt · soft negative

“described more as a platform component than a finished end-to-end product” Perplexity Sonar · Document processing · budget prompt · soft negative

Named alongside

The products named in the same answers as Amazon Textract, over the 77 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Textract was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Document AI57 of 772Compare →

UiPath Document Understanding52 of 774Compare →

ABBYY Vantage45 of 7717Compare →

Rossum36 of 773Compare →

Azure AI Document Intelligence36 of 770Not among the top eight

Hyperscience Hypercell35 of 776Not among the top eight

Nanonets31 of 7711Compare →

Docsumo31 of 776Compare →

Tungsten Automation17 of 770Not among the top eight

Microsoft Azure AI Document Intelligence14 of 771Not 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 Amazon Textract. 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 74 of the 77 answers that named Amazon Textract and are not a share of its labels.

Domains cited

docsumo.com42

llamaindex.ai40

g2.com24

guideflow.com24

raftlabs.com23

flowwright.com22

larksuite.com20

research.isg-one.com20

gartner.com19

nanonets.com18

252 of the 252 domain citations in answers naming Amazon Textract came from somebody else's page.

Pages cited

docsumo.com/blog/the-best-intelligent-document-processing-software36

llamaindex.ai/insights/best-idp-tools33

guideflow.com/blog/intelligent-document-processing-software23

raftlabs.com/blog/top-intelligent-document-processing-companies23

larksuite.com/en_us/blog/intelligent-document-processing-software20

flowwright.com/blog/8-best-intelligent-document-processing-software19

research.isg-one.com/buyers-guide/digital_technology/intelligent_document_processing/202418

cio.economictimes.indiatimes.com/tools/7-best-idp-solutions-for-enterprises/12981559715

Pages are listed as the models cited them.

Search and answers

Where Amazon Textract 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: 1,300 a month (“amazon textract”)
AI search demand for its name, est.: 71 a month
Its own site: It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 7 of 89 in document processing

Segment leader

32%

Nanonets

First choices: 3 across its categories
Named in: 77 answers
Its own site cited: in 74 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.

Names read as Amazon Textract

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Textract; a claim can dispute any of them.

AWS Textract 11

Follow Amazon Textract

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

Amazon is the company behind Amazon Textract.

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On record

Company records

Also from Amazon: Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more

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 Amazon Textract'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 Amazon Textract, 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 Amazon Textract by email, built from the raw record of the edition. It shows:

where Amazon Textract 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 Amazon Textract, 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.