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.
Named in one category this edition.
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.
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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AT | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | AT | |||||
| Perplexity Sonar | AT | |||||
| Grok 4.1 Fast | AT | |||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | AT | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | AT | |||||
| MiniMax M2.5 | AT | |||||
| GPT-6 Luna | AT | |||||
| Muse Glimmer 30B | AT |
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.
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
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
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.