# Amazon Textract vs ABBYY Vantage: which do AI models recommend for document processing, October 2026

IT AI Recommendation Index, October 2026 Edition, Intelligent document processing. Zero of fourteen models named Amazon Textract first on the direct prompt; two named ABBYY Vantage. Page: https://it-ai-index.com/it-data/intelligent-document-processing/amazon-textract-vs-abbyy-vantage/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon Textract | 4% | #6 of 11 | 14% | 28 | 13 of 14 |
| ABBYY Vantage | 4% | #7 of 11 | 24% | 38 | 14 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: abbyy vantage first (first choices: ABBYY Vantage) (alternatives: Amazon Textract, Google Document AI, Rossum, UiPath Document Understanding)
- GPT-6 Luna: abbyy vantage first (first choices: ABBYY Vantage) (alternatives: Azure AI Document Intelligence, Google Document AI)
- Claude Haiku 4.5: neither first, one named (first choices: Nanonets) (alternatives: ABBYY Vantage, Amazon Textract, Rossum)
- GPT-5.4 mini: neither first, one named (first choices: Rossum) (alternatives: ABBYY Vantage, Automation Anywhere, Hyperscience Hypercell, UiPath Document Understanding)
- Perplexity Sonar: neither first, one named (first choices: Nanonets) (alternatives: ABBYY Vantage, Automation Anywhere, Rossum, UiPath Document Understanding)
- DeepSeek V4 Flash: neither first, one named (first choices: Docsumo, Nanonets) (alternatives: ABBYY Vantage, Rossum)
- Kimi K2: neither first, one named (first choices: Nanonets) (alternatives: ABBYY Vantage, Rossum, UiPath Document Understanding)
- MiniMax M2.5: neither first, one named (alternatives: ABBYY Vantage, Amazon Textract, Automation Anywhere, Azure AI Document Intelligence, Docsumo, UiPath Document Understanding)
- Gemini 3.5 Flash: neither named (first choices: Nanonets) (alternatives: Affinda, Docsumo, Rossum)
- Mistral Small: neither named (first choices: Rossum, UiPath Document Understanding) (alternatives: Flowwright, Nanonets, OpenText Intelligent Document Processing)
- Llama 4 Maverick: neither named (first choices: Nanonets)
- Qwen 3.7 Flash: neither named (first choices: Rossum) (alternatives: Nanonets, UiPath Document Understanding)
- GLM 4.7 FlashX: neither named (first choices: Nanonets) (alternatives: DigiParser, Rossum)
- Muse Glimmer 30B: neither named (first choices: Rossum) (alternatives: Doxis AI.dp, Klippa DocHorizon, Nanonets)

## What the models said about Amazon Textract

- "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

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.