UiPath Document Understanding
Reviews
Star rating
Rank in OCR
Pros and cons
Pros
- Machine Learning
- Data Extraction
- Ease of Use
- Annotation Tools
- Problem Solving
- Features
Cons
- ML Limitations
- Automation Challenges
- Learning Difficulty
- Performance Issues
- Dependency Issues
- Inaccuracy
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 52.2% |
| Mid-Market | 21.7% |
| Enterprise | 26.1% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 1 | 4.5 |
| 2025 Q1 | 1 | 5.0 |
| 2025 Q3 | 1 | 4.5 |
| 2026 Q2 | 6 | 4.6 |
| 2026 Q3 | 1 | — |
Satisfaction ratings
What reviewers say
Accurate Document Data Extraction That Saves Manual Work
“It processes documents without needing to open and read them manually, and it can extract data accurately depending on the quality of the document. This makes it easier to use the document data for further processing.”
Efficient, Reliable Document Understanding with Seamless RPA Integration
“What I like most about Document Understanding is its ability to combine AI and rule-based extraction in a single, easy-to-use platform. It offers an end-to-end solution, from document classification to data extraction and validation, while integrating seamlessly with RPA workflow”
Efficient with Structured Data, Needs Improvement for Handwritten Docs
“I find it easy to extract details from both structured and unstructured documents using UiPath Document Understanding. The ML extractor is the best part; we can train our model and then use it in our process. The initial setup was good, and the documentation helped a lot.”