Intelligent document processing · November 2026 Edition
Docsumo vs Amazon Textract
One of fourteen models named Docsumo first on the direct prompt; zero named Amazon Textract. Docsumo was named by twelve of the fourteen models and Amazon Textract by twelve and Docsumo carries 25 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 share10%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 13; printed, not drawn.
Labels2527A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Docsumo 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 Docsumo · 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.
DocsumoFirst choices, of fourteen modelsAmazon TextractDirect101 against Amazon Textract
Paraphrase10
Comparative001 against Amazon Textract
Budget-constrained322 against Amazon Textract
Scale-constrained00
Negative004 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, Docsumo and Amazon Textract were named in the same answer thirty-six times, of the 78 answers naming Docsumo and the 89 naming Amazon Textract. In those answers Amazon Textract took the first choice one time and Docsumo sixteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Docsumo 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 |
DocsumoAT Amazon Textract first choice named as an alternative argued againstblank: not namedEach cell is one answer, Docsumo on the left and Amazon Textract on the right.The direct prompt
The plain question, one answer per model, grouped by where Docsumo and Amazon Textract stood in it.
Docsumo 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.DeepSeek V4 FlashDocsumo alternatives: Nanonets, Rossum
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashNanonets alternatives: ABBYY Vantage, Docsumo, Rossum
Perplexity SonarNanonets alternatives: Docsumo, Microsoft Azure AI Document Intelligence, Parseur
Grok 4.20Rossum alternatives: ABBYY Vantage or FlexiCapture, Docsumo, Hyperscience Hypercell, UiPath Document Understanding
MiniMax M2.5Nanonets alternatives: ABBYY Vantage, Docsumo, Hyperscience Hypercell, Rossum, UiPath Document Understanding
Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Nanonets alternatives: Doxis AI.dp, Rossum
GPT-5.4 miniABBYY Vantage alternatives: AWS IDP, Azure AI Document Intelligence, Rossum
Mistral SmallABBYY Vantage, Rossum alternatives: Apryse, Turian
Llama 4 MaverickNanonets alternatives: Apryse PDF SDK, Parseur
Qwen 3.7 FlashNanonets alternatives: Extend, Rossum, Turian
Kimi K2Rossum alternatives: ABBYY Vantage, Microsoft Azure AI Document Intelligence, Nanonets
GLM 4.7 FlashXUiPath Document Understanding alternatives: ABBYY Vantage, Automation Anywhere Intelligent Automation, Microsoft Azure AI Document Intelligence, ServiceNow Document Management
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
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
Docsumo leads by twenty-nine points.
Docsumo29%#2 of 12Amazon Textract0%#9 of 12
The full small business standing →Mid-marketThe figures above
Docsumo leads by six points.
Docsumo10%#3 of 13Amazon Textract4%#8 of 13
The full mid-market standing →Enterprise
Level: the same share of first choices.
Docsumo0%#– of 11Amazon Textract0%#10 of 11
The full enterprise standing →What the models said about Docsumo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best Overall for Mid-Sized B2B ... Docsumo is best for SMBs in lending and insurance, offering solid, structured document extraction.” Claude Haiku 4.5 · paraphrase prompt · first choice
“for strict budget constraints, cloud APIs and platforms like Lido or Docsumo offer the best value” Claude Haiku 4.5 · budget prompt · first choice
“Start with Nanonets or Docsumo's free tier to test on your actual documents” Kimi K2 · budget 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 DocsumoNanonets vs Amazon TextractRossum vs DocsumoRossum vs Amazon TextractDocsumo vs ParseurDocsumo vs ABBYY VantageDocsumo vs UiPath Document UnderstandingDocsumo vs Google Document AIParseur 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.