Intelligent document processing · October 2026 Edition
Amazon Textract vs ABBYY Vantage
Zero of fourteen models named Amazon Textract first on the direct prompt; two named ABBYY Vantage. Amazon Textract was named by thirteen of the fourteen models and ABBYY Vantage by fourteen and Amazon Textract carries 28 labels and ABBYY Vantage 38, so the shares are not directly comparable.
Amazon Textract
accepted challengerNamed in one category this edition.
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 rate14%24%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 11; printed, not drawn.
Labels2838A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon Textract 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 Amazon Textract · Nanonets vs ABBYY Vantage · Rossum vs Amazon Textract
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.
Amazon TextractFirst choices, of fourteen modelsABBYY Vantage
Direct022 against ABBYY Vantage
Paraphrase002 against ABBYY Vantage
Comparative04
Budget-constrained201 against Amazon Textract · 2 against ABBYY Vantage
Scale-constrained00
Negative003 against Amazon Textract · 3 against ABBYY Vantage
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, Amazon Textract and ABBYY Vantage were named in the same answer forty-five times, of the 77 answers naming Amazon Textract and the 119 naming ABBYY Vantage. In those answers ABBYY Vantage took the first choice seventeen times and Amazon Textract zero.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Amazon Textract and ABBYY Vantage stood in it.
| Model | DirectAT | ParaphraseAT | ComparativeAT | Budget-constrainedAT | Scale-constrainedAT | NegativeAT |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AT | | AT | |||
| GPT-5.4 mini | | AT | | | ||
| Gemini 3.5 Flash | | | AT | AT | ||
| Perplexity Sonar | | AT | AT | |||
| Grok 4.1 Fast | AT | | AT | |||
| Mistral Small | ||||||
| DeepSeek V4 Flash | | AT | AT | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | AT | | AT | ||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | AT | | |||
| MiniMax M2.5 | AT | AT | ||||
| GPT-6 Luna | | AT | AT | |||
| Muse Glimmer 30B | AT | AT |
AT Amazon Textract ABBYY VantageAT first choiceAT named as an alternativeAT argued againstblank: not namedEach cell is one answer, Amazon Textract on the left and ABBYY Vantage on the right.
ABBYY VantageAT first choiceAT named as an alternativeAT argued againstblank: not namedEach cell is one answer, Amazon Textract on the left and ABBYY Vantage on the right.The direct prompt
The plain question, one answer per model, grouped by where Amazon Textract and ABBYY Vantage stood in it.
ABBYY Vantage first, Amazon Textract an alternative
2 of 14 modelsAmazon Textract was named in the answer but not as the choice, or not at all.Grok 4.1 FastABBYY Vantage alternatives: Amazon Textract, Google Document AI, Rossum, UiPath Document Understanding
GPT-6 LunaABBYY Vantage alternatives: Azure AI Document Intelligence, Google Document AI
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: 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
DeepSeek V4 FlashDocsumo, Nanonets alternatives: ABBYY Vantage, Rossum
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
Mistral SmallRossum, UiPath Document Understanding alternatives: Flowwright, Nanonets, OpenText Intelligent Document Processing
Llama 4 MaverickNanonets
Qwen 3.7 FlashRossum alternatives: Nanonets, UiPath Document Understanding
GLM 4.7 FlashXNanonets alternatives: DigiParser, Rossum
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
Level: the same share of first choices.
Amazon Textract2%#8 of 14
ABBYY Vantage2%#10 of 14Mid-marketThe figures above
Level: the same share of first choices.
Amazon Textract4%#6 of 11
ABBYY Vantage4%#7 of 11Enterprise
ABBYY Vantage leads by forty-three points.
ABBYY Vantage43%#1 of 10Amazon Textract0%#10 of 10
The full enterprise standing →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
What the models said about ABBYY Vantage
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 enterprise platforms like ABBYY, Rossum, or UiPath for now, as their annual minimums ($18k+)” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid ABBYY/UiPath/Hyperscience unless you have dedicated IT resources” Kimi K2 · paraphrase prompt · hard negative
“users commonly praise accuracy/integration, but also report complex initial setup, OCR issues, and workflow configuration challenges” GPT-5.4 mini · negative prompt · soft negative
“A Gartner Magic Quadrant Leader with 35+ years of heritage and 200+ pre-trained document types... best for large enterprises with diverse document types” Claude Haiku 4.5 · comparative prompt · first choice
“The safest enterprise choice for breadth — 35+ year heritage, 150–200+ pre-trained document "skills," 200+ language support.” DeepSeek V4 Flash · comparative prompt · first choice
“If you need enterprise governance and analytics, ABBYY Vantage and Hyperscience lead for regulated, high-volume work.” Muse Glimmer 30B · comparative prompt · first choice
Also compared
Nanonets vs Amazon TextractNanonets vs ABBYY VantageRossum vs Amazon TextractRossum vs ABBYY VantageDocsumo vs Amazon TextractDocsumo vs ABBYY VantageGoogle Document AI vs Amazon TextractGoogle Document AI vs ABBYY VantageUiPath Document Understanding vs Amazon TextractUiPath Document Understanding vs ABBYY VantageAll twenty-one 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.