# Docsumo vs UiPath Document Understanding: 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; one named UiPath Document Understanding. Page: https://it-ai-index.com/it-data/intelligent-document-processing/docsumo-vs-uipath-document-understanding/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Docsumo | 6% | #3 of 11 | 4% | 23 | 14 of 14 |
| UiPath Document Understanding | 4% | #5 of 11 | 24% | 46 | 14 of 14 |

## The direct prompt, model by model

- DeepSeek V4 Flash: docsumo first (first choices: Docsumo, Nanonets) (alternatives: ABBYY Vantage, Rossum)
- Mistral Small: uipath document understanding first (first choices: Rossum, UiPath Document Understanding) (alternatives: Flowwright, Nanonets, OpenText Intelligent Document Processing)
- GPT-5.4 mini: neither first, one named (first choices: Rossum) (alternatives: ABBYY Vantage, Automation Anywhere, Hyperscience Hypercell, UiPath Document Understanding)
- Gemini 3.5 Flash: neither first, one named (first choices: Nanonets) (alternatives: Affinda, Docsumo, Rossum)
- Perplexity Sonar: neither first, one named (first choices: Nanonets) (alternatives: ABBYY Vantage, Automation Anywhere, Rossum, UiPath Document Understanding)
- Grok 4.1 Fast: neither first, one named (first choices: ABBYY Vantage) (alternatives: Amazon Textract, Google Document AI, Rossum, UiPath Document Understanding)
- Qwen 3.7 Flash: neither first, one named (first choices: Rossum) (alternatives: Nanonets, UiPath Document Understanding)
- 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)
- Claude Haiku 4.5: neither named (first choices: Nanonets) (alternatives: ABBYY Vantage, Amazon Textract, Rossum)
- Llama 4 Maverick: neither named (first choices: Nanonets)
- 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 UiPath Document Understanding

- "Avoid ABBYY/UiPath/Hyperscience unless you have dedicated IT resources" (Kimi K2, paraphrase prompt, hard negative)
- "Avoid enterprise platforms like ABBYY, Rossum, or UiPath for now" (Qwen 3.7 Flash, budget prompt, hard negative)
- "Avoid if you want simplicity: ABBYY and UiPath" (Qwen 3.7 Flash, negative prompt, hard negative)
- "Best if you want IDP tightly integrated with automation/RPA... Need document extraction + workflow automation? UiPath." (GPT-5.4 mini, comparative prompt, first choice)
- "Choose UiPath or Tungsten Automation if you need the document extraction to trigger an intricate downstream workflow" (Gemini 3.5 Flash, comparative prompt, first choice)
- "UiPath and Rossum are top choices due to their accuracy, scalability, and ease of integration" (Mistral Small, direct 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.