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Intelligent document processing · October 2026 Edition

UiPath Document Understanding vs Amazon Textract

One of fourteen models named UiPath Document Understanding first on the direct prompt; zero named Amazon Textract. UiPath Document Understanding was named by fourteen of the fourteen models and Amazon Textract by thirteen and UiPath Document Understanding carries 46 labels and Amazon Textract 28, so the shares are not directly comparable.

Named in one category this edition.

Amazon Textract

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 11; printed, not drawn.
Labels4628A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, UiPath Document Understanding reading right to left. Rank and label count are printed, not drawn.Rossum was named alongside these two in eleven of the fourteen direct answers. Nanonets vs UiPath Document Understanding · Nanonets vs Amazon Textract · Rossum vs UiPath Document Understanding

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the intelligent document processing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
UiPath Document UnderstandingFirst choices, of fourteen modelsAmazon Textract
Direct101 against UiPath Document Understanding
Paraphrase102 against UiPath Document Understanding
Comparative20
Budget-constrained021 against UiPath Document Understanding · 1 against Amazon Textract
Scale-constrained00
Negative007 against UiPath Document Understanding · 3 against Amazon Textract
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, UiPath Document Understanding and Amazon Textract were named in the same answer fifty-two times, of the 124 answers naming UiPath Document Understanding and the 77 naming Amazon Textract. In those answers Amazon Textract took the first choice one time and UiPath Document Understanding four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where UiPath Document Understanding and Amazon Textract stood in it.
ModelDirectATParaphraseATComparativeATBudget-constrainedATScale-constrainedATNegativeAT
Claude Haiku 4.5ATAT
GPT-5.4 miniAT
Gemini 3.5 FlashATAT
Perplexity SonarATAT
Grok 4.1 FastATAT
Mistral Small
DeepSeek V4 FlashATAT
Llama 4 Maverick
Qwen 3.7 FlashATAT
Kimi K2
GLM 4.7 FlashXAT
MiniMax M2.5ATAT
GPT-6 LunaATAT
Muse Glimmer 30BATAT
UiPath Document UnderstandingAT Amazon Textract first choice named as an alternative argued againstblank: not namedEach cell is one answer, UiPath Document Understanding on the left and Amazon Textract on the right.

The direct prompt

The plain question, one answer per model, grouped by where UiPath Document Understanding and Amazon Textract stood in it.

UiPath Document Understanding first, Amazon Textract not the choice

1 of 14 modelsAmazon Textract was named in the answer but not as the choice, or not at all.
Mistral SmallRossum, UiPath Document Understanding alternatives: Flowwright, Nanonets, OpenText Intelligent Document Processing

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Nanonets alternatives: ABBYY Vantage, Amazon Textract, Rossum
GPT-5.4 miniRossum alternatives: ABBYY Vantage, Automation Anywhere, Hyperscience Hypercell, UiPath Document Understanding
Perplexity SonarNanonets alternatives: ABBYY Vantage, Automation Anywhere, Rossum, UiPath Document Understanding
Grok 4.1 FastABBYY Vantage alternatives: Amazon Textract, Google Document AI, Rossum, UiPath Document Understanding
Qwen 3.7 FlashRossum alternatives: Nanonets, UiPath Document Understanding
Kimi K2Nanonets alternatives: ABBYY Vantage, Rossum, UiPath Document Understanding
MiniMax M2.5no first choice alternatives: ABBYY Vantage, Amazon Textract, Automation Anywhere, Azure AI Document Intelligence, Docsumo, UiPath Document Understanding

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashNanonets alternatives: Affinda, Docsumo, Rossum
DeepSeek V4 FlashDocsumo, Nanonets alternatives: ABBYY Vantage, Rossum
Llama 4 MaverickNanonets
GLM 4.7 FlashXNanonets alternatives: DigiParser, Rossum
GPT-6 LunaABBYY Vantage alternatives: Azure AI Document Intelligence, Google Document AI
Muse Glimmer 30BRossum alternatives: Doxis AI.dp, Klippa DocHorizon, Nanonets

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Amazon Textract leads by two points.
Amazon Textract2%#8 of 14
UiPath Document Understanding0%#14 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
UiPath Document Understanding4%#5 of 11
Amazon Textract4%#6 of 11
The full mid-market standing →
Enterprise
The order flips: UiPath Document Understanding leads at enterprise.
UiPath Document Understanding13%#2 of 10
Amazon Textract0%#10 of 10
The full enterprise standing →

What the models said about UiPath Document Understanding

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid ABBYY/UiPath/Hyperscience unless you have dedicated IT resources” Kimi K2 · paraphrase prompt · hard negative
“Avoid enterprise platforms like ABBYY, Rossum, or UiPath for now” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid if you want simplicity: ABBYY and UiPath” Qwen 3.7 Flash · negative prompt · hard negative
“Best if you want IDP tightly integrated with automation/RPA... Need document extraction + workflow automation? UiPath.” GPT-5.4 mini · comparative prompt · first choice
“Choose UiPath or Tungsten Automation if you need the document extraction to trigger an intricate downstream workflow” Gemini 3.5 Flash · comparative prompt · first choice
“UiPath and Rossum are top choices due to their accuracy, scalability, and ease of integration” Mistral Small · direct prompt · first choice

What the models said about Amazon Textract

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid if you are non-technical: Azure AI and AWS Textract” Qwen 3.7 Flash · negative prompt · hard negative
“Be especially cautious if... custom extraction is developer-centric and that handwriting and language support need testing.” GPT-6 Luna · negative prompt · soft negative
“"Raw" Cloud Provider APIs (Without a Custom Interface) * Examples: Standalone use of AWS Textract” Gemini 3.5 Flash · negative prompt · soft negative
“I would suggest starting with Google Cloud Document AI or Amazon Textract” MiniMax M2.5 · budget prompt · first choice
“If cost is the primary constraint, Amazon Textract is hard to beat” Claude Haiku 4.5 · 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 · budget prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.