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

IT AI Recommendation Index, October 2026 Edition, Intelligent document processing. One of fourteen models named Docsumo first on the direct prompt; zero named Amazon Textract. Page: https://it-ai-index.com/it-data/intelligent-document-processing/docsumo-vs-amazon-textract/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Docsumo | 6% | #3 of 11 | 4% | 23 | 14 of 14 |
| Amazon Textract | 4% | #6 of 11 | 14% | 28 | 13 of 14 |

## The direct prompt, model by model

- DeepSeek V4 Flash: docsumo first (first choices: Docsumo, Nanonets) (alternatives: ABBYY Vantage, Rossum)
- Claude Haiku 4.5: neither first, one named (first choices: Nanonets) (alternatives: ABBYY Vantage, Amazon Textract, Rossum)
- Gemini 3.5 Flash: neither first, one named (first choices: Nanonets) (alternatives: Affinda, Docsumo, Rossum)
- Grok 4.1 Fast: neither first, one named (first choices: ABBYY Vantage) (alternatives: Amazon Textract, Google Document AI, 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)
- GPT-5.4 mini: neither named (first choices: Rossum) (alternatives: ABBYY Vantage, Automation Anywhere, Hyperscience Hypercell, UiPath Document Understanding)
- Perplexity Sonar: neither named (first choices: Nanonets) (alternatives: ABBYY Vantage, Automation Anywhere, Rossum, UiPath Document Understanding)
- 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)
- Kimi K2: neither named (first choices: Nanonets) (alternatives: ABBYY Vantage, Rossum, UiPath Document Understanding)
- GLM 4.7 FlashX: neither named (first choices: Nanonets) (alternatives: DigiParser, Rossum)
- GPT-6 Luna: neither named (first choices: ABBYY Vantage) (alternatives: Azure AI Document Intelligence, Google Document AI)
- Muse Glimmer 30B: neither named (first choices: Rossum) (alternatives: Doxis AI.dp, Klippa DocHorizon, Nanonets)

## What the models said about Docsumo

- "Worth testing, but get a quote before committing: Docsumo. ... production pricing is custom and setup fees may apply." (GPT-6 Luna, budget prompt, soft negative)
- "Parseur (free plan → $39/month Pro) or Docsumo (14-day free trial → $299/month Business) are the best starting points." (GLM 4.7 FlashX, budget prompt, first choice)
- "For most mid-market B2B companies, Nanonets or Docsumo offer the best balance" (DeepSeek V4 Flash, direct prompt, first choice)
- "Start with Nanonets or Docsumo if you want fast time-to-value and manageable costs" (Kimi K2, paraphrase prompt, first choice)

## 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)

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.