UiPath Document Understanding Reviews

Name: UiPath Document Understanding
Brand: UiPath
Rating: 4.1 (51 reviews)

4.1 out of 5

51 reviews
93% willing to recommend

What is UiPath Document Understanding?

UiPath Document Understanding is employed across industries for extracting data from documents like invoices and legal papers, automating processes, reducing manual input, and enhancing accuracy. It manages both structured and unstructured data with OCR and machine learning capabilities.

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UiPath Document Understanding is the #2 ranked solution in top Intelligent Document Processing (IDP) solutions. PeerSpot users give UiPath Document Understanding an average rating of 8.2 out of 10. UiPath Document Understanding is most commonly compared to ABBYY Vantage: UiPath Document Understanding vs ABBYY Vantage. UiPath Document Understanding is popular among the large enterprise segment, accounting for 65% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.

Buyer's Guide

UiPath Document Understanding

March 2025

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Helped 842,767 peers since 2012

Featured UiPath Document Understanding reviews

ManinderSodhi

Global Director IT at a engineering company with 10,001+ employees

We are working with 40,000 different vendor templates. Document Understanding can understand and process various formats without much manual effort to configure the templates. That wasn't the case when we were using Microsoft. UiPath can read handwritten signatures with a success rate of around 70 percent. We've even processed pay slips in German. The language translations are around 90 percent accurate. The AI/ML component offers great flexibility in creating custom models. Its built-in models are also highly mature. The integration is seamless. We have RPA talking between our ERP systems and sharing information on the UiPath cloud.

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SanjayLokapur

CEO at GT Cargo Fittings India Pvt Ltd

If somebody has a lot of vendors and about 100 invoices per day, we have to train the bot for various formats. We convert data from scanned PDF into a standard Excel table, including invoice numbers, purchasing order numbers, dates, and vendor names. The solution uses typed or printed data, not handwritten. It's difficult to capture handwritten data because different types of handwriting increase the errors in capturing the data. About 80% of our organization’s documents are completely processed automatically. Sometimes, we don't have good data capture when the PDF is not of good quality. You need to have good-quality scans. Using the artificial intelligence or machine learning capabilities of UiPath Document Understanding is costly. Integrating the solution with other ERP systems and applications is very easy. There are a lot of commands specifically for SAP. Initially, almost every document was verified by human beings. After gaining confidence and segregating the vendors who were giving out correct results, we stopped human intervention and started running on the bot completely. When there were about 200 invoices per day, we employed about 5people to process the invoices manually in the ERP. When we introduced the UiPath Document Understanding bot, it could process faster and reduce the number of people required from 5 to 2. The solution helped reduce human errors and made processing in time possible, thereby avoiding delays. Users should take the solution as an opportunity to reduce costs and not expect 100% results. Expecting 100% results would make it a failure from day 1 because it will not give 100% results. It will give you 80% accurate and 20% jumbled details because of the various complications arising from lengthy or unclear documents. If your expectation is reasonable, your success rate will be high. Overall, I rate the solution an 8 out of 10.

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Sravan G

Senior Project Manager at Resolve Technology, Inc.

The documents we process using UiPath Document Understanding are invoices and purchase orders. The documents are in PDF format. Some documents include handwriting and screenshots. Around 80 percent of the documents processed are completely automated without any human intervention. UiPath Document Understanding helps handle signatures. The call center teams automated a process where they used to manually identify configuration items in service notifications submitted by users. This manual process required a team of more than three people to analyze over 70,000 records per month. To address this inefficiency, we implemented Forms AI to automate the process. This automation has directly benefited end users. UiPath Document Understanding has streamlined invoice processing. Previously, processing invoices was a time-consuming manual process. Employees had to read each invoice, create corresponding entries in SAP and CRM systems, and then route them to accounts payable. This required multiple resources. UiPath Document Understanding automates these tasks, reducing processing time and errors. In the past, a team of more than 10 people was required to manually process purchase orders. Now, thanks to UiPath Document Understanding, only a few people are needed to validate the complete information and resolve any issues. Before UiPath Document Understanding, we used over eight resources to process documents. Each resource could only handle around 20 documents per day, limiting our total daily capacity to 160 documents. However, since implementing automation, we can now process over 600 invoices daily. UiPath Document Understanding helps reduce human error by over 90 percent. UiPath Document Understanding has freed up staff time to work on other projects. Our clients are satisfied with the time to value.

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UiPath Document Understanding mindshare

As of April 2025, the mindshare of UiPath Document Understanding in the Intelligent Document Processing (IDP) category stands at 14.2%, up from 11.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

PeerAnalyst reports based on UiPath Document Understanding reviews

Type	Title	Date
Category	Intelligent Document Processing (IDP)	Apr 1, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 1, 2025	Download
Comparison	UiPath Document Understanding vs ABBYY Vantage	Apr 1, 2025	Download
Comparison	UiPath Document Understanding vs Automation Anywhere	Apr 1, 2025	Download
Comparison	UiPath Document Understanding vs IQ Bot	Apr 1, 2025	Download

Title	Rating	Mindshare	Recommending
ABBYY Vantage	4.0	17.0%	92%	50 interviews Add to research
Tungsten TotalAgility	4.1	8.1%	89%	22 interviews Add to research

Valuable Features

UiPath Document Understanding's valuable features include machine learning capabilities, robust automation, AI integration, and high accuracy in data extraction. Users benefit from classification, preprocess abilities, and integration with tools like Python and Veracode. The platform supports diverse document formats, including handwriting, offering flexibility. Its machine learning models reduce the need for manual intervention. Integration ease, prebuilt algorithms, and user-friendly workflows enhance efficiency, reducing errors and time. It continuously improves with retraining capabilities.

"It has advanced capabilities compared to other competitors, whether Blue Prism or Automation Anywhere."
"This solution has played a significant role in drastically reducing human errors by ensuring that 95% to 98% of tasks are done through the system."
"UiPath Document Understanding offers valuable features like Arabic language support, which is crucial for effective communication and automation in the Arabic-speaking world."

Room for Improvement

UiPath Document Understanding can enhance its AI capabilities and reduce expenses. Greater accuracy in handling handwritten documents and signatures is needed. Improved OCR performance, especially for scanned and multi-format documents, is essential. Templates often require manual adjustments due to document variations. Enhancing table extraction, integration with other platforms, and providing better user training would add value. Users find pricing high for small and medium businesses, necessitating more flexible licensing options.

"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"They can include some features in utilizing the product of assessment understanding, or more specifically, a better efficient handling of the ML skill, which right now is not that efficient."
"One area where UiPath could improve is by including pre-trained models for general-use documents specific to the Middle East."

ROI

Users experienced ROI from UiPath Document Understanding within a year, achieving up to 80% task reduction. Efficient data processing improved employee resource allocation and saved costs. Errors were reduced by 50%, increasing accuracy and profitability. Time-to-value ranged from 10 days to 24 months. Automated tasks reduced reliance on offshore data entry, enhancing internal processes. Reduction in hours and high efficient operations contributed to significant cost avoidance and boosted organizational effectiveness.

Pricing

UiPath Document Understanding's pricing is generally perceived as high and complex, particularly for smaller enterprises and developing markets. Consumption-based costs, AI unit bundles, and additional fees for features like Action Center contribute to the expense. While it offers flexible licensing options like monthly and yearly plans, its cost remains significant compared to competitors. Larger organizations may find it reasonable due to high transaction volume benefits, though transparency and adaptability in pricing models are desired by many users.

"UiPath Document Understanding is considered a bit expensive compared to other options like Microsoft Azure, which can offer similar quality at a more affordable rate."
"I find the pricing to be fair."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."

Popular Use Cases

Organizations primarily use UiPath Document Understanding for automating data extraction from documents, particularly invoices, purchase orders, and PDFs in diverse formats. The use cases span industries like finance, healthcare, banking, and transportation. Tasks include processing large volumes of structured and unstructured documents, extracting crucial data, and integrating it into systems like SAP and Excel. The tool often involves human validation to ensure accuracy, enhancing efficiency by reducing manual input and streamlining workflows.

Service and Support

UiPath Document Understanding's support is generally good, affordable, and helpful, with responsive teams and strong troubleshooting resources. However, there are occasional delays in response time and challenges in resolving complex issues. Users appreciate dedicated support, though some desire improved communication and faster solutions, especially with premium memberships. Webinars and local office support enhance customer experiences. Most users rate support between seven and nine out of ten, though a few note deterioration and suggest improvements.

Deployment

Many users found UiPath Document Understanding's initial setup straightforward and quick, especially for cloud deployments, often completed in a day. Complexity and duration vary based on deployment type (cloud or on-premises) and document requirements. On-premises setups can take days or weeks and may involve firewall adjustments and cloud migrations. Familiarity with the system eases the process, though training and certification through UiPath Academy are crucial. Maintenance needs also differ based on deployment environment.

Scalability

UiPath Document Understanding is often described as highly scalable, particularly beneficial for enterprise-sized clients. Users note ease in managing scalability, with potential for impressive flexibility and deployment across various systems. While some emphasize the need for training models to maximize efficiency, many rate its scalability between seven and ten. However, cost of adding bots and manual intervention requirements are noted as challenges. Despite these, most express satisfaction with its ability to handle diverse document volumes.

Stability

UiPath Document Understanding is noted for stability, with users rating it between six to ten out of ten. Many find it performs well without significant downtime or issues, although occasional system resource challenges occur. Some mention areas for improvement in model learning. It's generally stable, especially in cloud-based operations, often requiring less maintenance. While some experience minor issues, others report no performance problems and are confident in its reliability for programs and processes.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our UiPath Document Understanding Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Real Estate/Law Firm

Healthcare Company

Manufacturing Company

Insurance Company

Government

University

Construction Company

Educational Organization

Energy/Utilities Company

Legal Firm

Retailer

Comms Service Provider

Transportation Company

Non Profit

Hospitality Company

Agriculture

Pharma/Biotech Company

Media Company

Engineering Company

Recreational Facilities/Services Company

Logistics Company

Outsourcing Company

Consumer Goods Company

Non Tech Company

Recruiting/Hr Firm

Performing Arts

Wholesaler/Distributor

Compare UiPath Document Understanding with alternative products

Learn more about UiPath Document Understanding

UiPath Document Understanding enhances data extraction by supporting numerous document formats and languages. Its capabilities range from processing invoices in finance to handling medical documents in healthcare. By integrating with systems such as SAP, it streamlines document classification and validation. The incorporation of OCR and machine learning allows for high accuracy, even with scanned and handwritten documents, while also enabling automation of tasks that formerly required significant manual intervention.

What are the key features of UiPath Document Understanding?

Machine Learning: Elevates data accuracy through AI-driven models.
OCR Capabilities: Optimizes extraction across multiple formats and languages.
Integration Flexibility: Connects with systems like SAP effectively.
Action Centers and Validation Stations: Facilitates user involvement in validations.
Pre-Built Algorithms: Improves efficiency, especially in invoice processing.

What benefits should be considered in reviews?

Manual Labor Reduction: Minimizes human input and related errors.
Accuracy Improvement: Increases precision in data extraction.
Flexibility: Adapts to a range of document types and formats.
Efficiency Boost: Speeds up processing times and reduces delays.

Across industries, companies use UiPath Document Understanding for automating document processing tasks. In finance, it handles invoice processing, while in healthcare it manages medical record extraction. In manufacturing, it streamlines document workflows, and in HR, it facilitates the handling of internal documents. Despite its advantages, users report challenges with handwriting accuracy, template diversity, and integration complexity. Enhancements in AI and OCR are desired to improve scanning and extraction from diverse languages and formats.