Intelligent document processing · November 2026 Edition
Rossum vs Amazon Textract
Five of fourteen models named Rossum first on the direct prompt; zero named Amazon Textract. Rossum was named by fourteen of the fourteen models and Amazon Textract by twelve and Rossum carries 49 labels and Amazon Textract 27, so the shares are not directly comparable.
Named in one category this edition.
Amazon Textract
criticized challengerNamed in one category this edition.
First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 13; printed, not drawn.
Labels4927A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Rossum reading right to left. Rank and label count are printed, not drawn.Nanonets was named alongside these two in ten of the fourteen direct answers. Nanonets vs Rossum · Nanonets vs Amazon Textract · Rossum vs Docsumo
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.
RossumFirst choices, of fourteen modelsAmazon TextractDirect501 against Amazon Textract
Paraphrase30
Comparative101 against Amazon Textract
Budget-constrained025 against Rossum · 2 against Amazon Textract
Scale-constrained00
Negative001 against Rossum · 4 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 November 2026 Edition, Rossum and Amazon Textract were named in the same answer sixty-six times, of the 136 answers naming Rossum and the 89 naming Amazon Textract. In those answers Amazon Textract took the first choice one time and Rossum five.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Rossum and Amazon Textract stood in it.
| Model | DirectAT | ParaphraseAT | ComparativeAT | Budget-constrainedAT | Scale-constrainedAT | NegativeAT |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | AT | |||
| GPT-5.4 mini | | | AT | |||
| Gemini 3.5 Flash | AT | AT | AT | AT | AT | |
| Perplexity Sonar | AT | AT | AT | |||
| Grok 4.20 | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | AT | |||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | AT | AT | AT | |
| Kimi K2 | | | AT | |||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | AT | AT | |||
| Muse Glimmer 30B | | | |
RossumAT Amazon Textract first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rossum on the left and Amazon Textract on the right.The direct prompt
The plain question, one answer per model, grouped by where Rossum and Amazon Textract stood in it.
Rossum first, Amazon Textract not the choice
5 of 14 modelsAmazon Textract was named in the answer but not as the choice, or not at all.Grok 4.20Rossum alternatives: ABBYY Vantage or FlexiCapture, Docsumo, Hyperscience Hypercell, UiPath Document Understanding
Mistral SmallABBYY Vantage, Rossum alternatives: Apryse, Turian
Kimi K2Rossum alternatives: ABBYY Vantage, Microsoft Azure AI Document Intelligence, Nanonets
GPT-6 LunaRossum alternatives: ABBYY Vantage, Nanonets, UiPath Document Understanding
Muse Glimmer 30BNanonets, Rossum alternatives: ABBYY Vantage, Automation Anywhere, Google Document AI, UiPath Document Understanding
Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Nanonets alternatives: Doxis AI.dp, Rossum
GPT-5.4 miniABBYY Vantage alternatives: AWS IDP, Azure AI Document Intelligence, Rossum
Gemini 3.5 FlashNanonets alternatives: ABBYY Vantage, Docsumo, Rossum
DeepSeek V4 FlashDocsumo alternatives: Nanonets, Rossum
Qwen 3.7 FlashNanonets alternatives: Extend, Rossum, Turian
MiniMax M2.5Nanonets alternatives: ABBYY Vantage, Docsumo, Hyperscience Hypercell, Rossum, UiPath Document Understanding
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Perplexity SonarNanonets alternatives: Docsumo, Microsoft Azure AI Document Intelligence, Parseur
Llama 4 MaverickNanonets alternatives: Apryse PDF SDK, Parseur
GLM 4.7 FlashXUiPath Document Understanding alternatives: ABBYY Vantage, Automation Anywhere Intelligent Automation, Microsoft Azure AI Document Intelligence, ServiceNow Document Management
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
Rossum leads by four points.
Rossum4%#5 of 12Amazon Textract0%#9 of 12
The full small business standing →Mid-marketThe figures above
Rossum leads by twelve points.
Rossum15%#2 of 13Amazon Textract4%#8 of 13
The full mid-market standing →Enterprise
Rossum leads by four points.
Rossum4%#4 of 11Amazon Textract0%#10 of 11
The full enterprise standing →What the models said about Rossum
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 Budget Is Tight | Rossum | $18,000/year | Enterprise-focused, annual contracts” Kimi K2 · budget prompt · hard negative
“Avoid starting with Rossum, ABBYY, Hyperscience, or similar enterprise platforms” Perplexity Sonar · budget prompt · hard negative
“Avoid enterprise tools like ABBYY Vantage, UiPath, Rossum, or Hyperscience” Grok 4.20 · budget prompt · hard negative
“Rossum and ABBYY Vantage are the top recommendations due to their AI-driven accuracy, scalability, and strong integration ecosystems” Mistral Small · direct prompt · first choice
“Top Pick: Rossum ... Cloud-native, AI-first platform designed specifically for fast time-to-value.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Rossum is widely considered the gold standard specifically for invoice processing.” Qwen 3.7 Flash · paraphrase 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 do not have a dedicated DevOps team to maintain the code.” Qwen 3.7 Flash · negative prompt · hard negative
“Amazon Textract as a standalone, turnkey IDP platform. Treat it as a document-processing building block: you may need to add workflow orchestration, validation, and exception handling yourself.” GPT-6 Luna · negative prompt · soft negative
“Google Document AI, Amazon Textract, and Azure Document Intelligence can provide strong extraction, but you may need to build validation, exception queues... They are risky choices” Perplexity Sonar · negative prompt · soft negative
“"I have a developer" | Amazon Textract or Google Document AI | Rawest price per page ($0.0015). No markup.” Qwen 3.7 Flash · budget prompt · first choice
“Amazon Textract is often the safest budget-conscious choice for teams that want a scalable IDP foundation” GPT-5.4 mini · budget prompt · first choice
“Developers usually prefer AWS Textract or Azure AI Document Intelligence APIs to integrate into custom apps” Gemini 3.5 Flash · comparative prompt · alternative
Also compared
Nanonets vs RossumNanonets vs Amazon TextractRossum vs DocsumoRossum vs ParseurRossum vs ABBYY VantageRossum vs UiPath Document UnderstandingRossum vs Google Document AIDocsumo vs Amazon TextractParseur vs Amazon TextractABBYY Vantage vs Amazon TextractUiPath Document Understanding vs Amazon TextractGoogle Document AI vs Amazon TextractAll twenty-eight head-to-head pages and the full document processing standing
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.