OpenText Capture vs UiPath IXP comparison

OpenText and UiPath are both solutions in the Intelligent Document Processing (IDP) category. OpenText is ranked #4 with an average rating of 8.0, while UiPath is ranked #1 with an average rating of 7.6. OpenText holds a 5.0% mindshare in IDP, compared to UiPath’s 6.6% mindshare. Additionally, 100% of OpenText users are willing to recommend the solution, compared to 90% of UiPath users who would recommend it.

OpenText Capture

Read 8 OpenText Capture reviews

1,468 Views
1,468 Comparison Views

100% willing to recommend

UiPath IXP

Read 57 UiPath IXP reviews

2,822 Views
2,822 Comparison Views

90% willing to recommend

OpenText Capture

UiPath IXP

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 18, 2026

OpenText Capture and UiPath IXP are solutions in the data capture and processing space. UiPath IXP appears to have the upper hand with its advanced automation capabilities.

Features: OpenText Capture offers document transformation, scalability, and organized document handling. UiPath IXP provides advanced AI capabilities, flexible integration, and superior automation features suitable for advanced data management.

Room for Improvement: OpenText Capture could improve by simplifying its setup process, enhancing scalability options, and expanding its automation capabilities. UiPath IXP would benefit from more detailed documentation, improved handling of edge cases in automation, and enhanced AI training tools.

Ease of Deployment and Customer Service: UiPath IXP's cloud-based deployment offers straightforward installation and extensive community support, while OpenText Capture, despite a complex setup, provides strong personalized customer service.

Pricing and ROI: OpenText Capture has higher setup costs but offers a strong ROI through robust support and performance improvements. UiPath IXP offers a lower initial cost with potential for high ROI due to its efficient automation features.

To learn more, read our detailed OpenText Capture vs. UiPath IXP Report (Updated: December 2025).

Buyer's Guide

OpenText Capture vs. UiPath IXP

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

OpenText Capture

Ranking in Intelligent Document Processing (IDP)

4th

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

UiPath IXP

Ranking in Intelligent Document Processing (IDP)

1st

Average Rating

8.0

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Intelligent Document Processing (IDP) category, the mindshare of OpenText Capture is 5.0%, down from 7.7% compared to the previous year. The mindshare of UiPath IXP is 6.6%, down from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intelligent Document Processing (IDP) Market Share Distribution
Product	Market Share (%)
UiPath IXP	6.6%
OpenText Capture	5.0%
Other	88.4%

Intelligent Document Processing (IDP)

Featured Reviews

Sirisha Konakandla

Software Engineer at ECloudOptimumCorp

Robust document capture boosts efficiency and integration options

The best features include multiple channel capabilities such as fax, different file transfers, and paper scans. It can be integrated with multiple channels and can capture images, even from mobile devices integrating into OpenText Capture. Currently, it has introduced AI for data extraction and document processing. OpenText Capture's impact on automating document-intensive tasks such as accounts payables or loan processing is significant. It has the capability to capture table structures or multiple line items from images, including line items and final amounts for invoice processing. The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data. This product can be integrated into any point-of-sale system, Salesforce, SAP, or other environments, reducing manual data entry and related tasks. This feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption. The automation reduces human effort that would otherwise be required for classification and extraction tasks.

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Gangadhar Wali

Founder and COO at InVibes

Pre-trained models work well, but it is very expensive

We have to do manual validation for some of the things due to the OCR engine not being so accurate. For example, S is read as 5, 5 as S, 2 as Z, and Z as 2. In the case of currency, if one dot is missing, it gives a completely incorrect number. These discrepancies should be fixed because if the OCR itself doesn't work properly, then AI doesn't help with that. When AI is used for training models, the AI Center works precisely, but if the data itself is wrong, we can't do anything. If the extraction of data is proper, it definitely helps. However, 20% errors could be reduced if the OCR engine were better. In future updates, I would like to see better handling of issues such as when a dot is missing in currency, for example, with dollars, it should handle that automatically. It's very expensive. If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We use it to capture documents coming through our product and mobile channels and make them available for our business to access and email. We use it to automate the email workflow in our applications, pull the documents, and email them to the users."

"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."

"The solution is very powerful because it allows for custom scripting."

"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."

"The automated version of the vendor invoice management is great."

"The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data, and this feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption."

"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."

"UiPath Document Understanding offers valuable features like Arabic language support, which is crucial for effective communication and automation in the Arabic-speaking world."

"Machine learning is the most valuable feature of UiPath Document Understanding."

"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."

"The most valuable feature is key-value pair and table extraction."

"One of the most valuable features is the intelligent recognition of the fields. The algorithm is able to recognize them based on the pattern. Also, the machine learning model enables you to use predefined solutions. The machine-learning capabilities of the solution are very cool."

"The validation process is easy. The Validation Station shows you the extracted data on one side and the document on the other, so you can easily scroll down and check if the data is accurate. You just need to click a checkbox. If you don't think it is fine, you have the option to add an exception. Based on that exception, you can create multiple conditions for how to address the same issue if it happens again."

"The best feature is pre-labeling, as it eliminates the need to manually label each data point."

"It's helped us free up time for other staff projects."

More UiPath IXP pros

Cons

"Knowledge of .NET is required to effectively use the solution or it can be complicated."

"The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones."

"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents"

"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."

"The setup is medium complexity."

"We are using it to improve the image and the documentation for the cases. And sometimes, some cases have more than fifteen different types. We use some tools as fixed standard analysis and provide information to support the different types to take some decisions and help in an automated process. We choose the case type and subtype DNS scanning documents from the data entry up."

"If something is handwritten and attached to an email, it doesn't capture the information correctly."

"Document Understanding's handwriting comprehension is improving, but it's still not as good as printed documents. Machine learning models, in general, are becoming mature, but it's still not to a point where I will give it five stars. I may give it a two or three. It is still not advanced enough to identify whatever handwritten content you give to it. It can process handwriting, but you need a human to validate it. With more training, it will become more automated. It will be better by 2025, but it is still not mature enough"

"The extraction and classification process should be simplified."

"The signature comparison feature of UiPath Document Understanding could be improved."

"UiPath could improve its analytics and interface."

"It would be ideal if they could include more packages for more use cases."

"If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices."

"There is also room for improvement in long-running table extraction. If a table continues for more than 10 pages, in some cases, we have observed that it only extracts six or seven pages and skips the last pages."

"There is still room for enhancement in capturing line items from invoices."

More UiPath IXP cons

Pricing and Cost Advice

"OpenText is an expensive solution."

"Some customers say the solution can get costly because it requires licenses or enterprise packages."

"UiPath Document Understanding is expensive, with the basic annual package including 6,000 documents and the next package including one million documents, a huge price difference."

"The last time we implemented UiPath Document Understanding the price was high."

"Document Understanding's price is quite high."

"The pricing is reasonable."

"UiPath Document Understanding offers fair pricing, primarily if you consider the number of resources and human work the solution reduces, plus the ROI you can get from it."

"The price is on the high end."

"Our clients are concerned about the volume-based pricing model, as UiPath charges more than other vendors in the market."

"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."

More UiPath IXP pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Insurance Company

16%

Computer Software Company

10%

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

Real Estate/Law Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	19
Midsize Enterprise	11
Large Enterprise	26

Questions from the Community

What needs improvement with OpenText Intelligent Capture?

There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with the advancements in LLMs and various extraction methods such as CVision. The pr...

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What is your primary use case for OpenText Intelligent Capture?

I use OpenText Capture for any digital format or hard copies, everything that needs to be digitalized and stored in a content management platform. Before storing in any content management platform,...

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What advice do you have for others considering OpenText Intelligent Capture?

Based on my rich experience with OpenText Capture, I would advise organizations considering it for their environment that this product is useful for handling heavy volumes or more complex documenta...

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What do you like most about UiPath Document Understanding?

The solution allows us to continue with vendors whose information comes in correctly and to stop the automation for vendors with many items that are not clearly defined.

See all answers

What is your experience regarding pricing and costs for UiPath Document Understanding?

Both UiPath and Blue Prism are expensive. Customers are trying to move to some other Agentic space because of high pricing, so the new initiatives are put on hold, and they're looking for alternati...

See all answers

What needs improvement with UiPath Document Understanding?

The challenge is more on handwriting and language-specific document extraction. There is some room for improvement when it comes to understanding handwriting. Document Understanding at the current ...

See all answers

Comparisons

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Compared 14% of the time

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Compared 12% of the time

Amazon Textract vs OpenText Capture

Compared 10% of the time

IBM Datacap vs OpenText Capture

Compared 8% of the time

Hyland Brainware vs OpenText Capture

Compared 7% of the time

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Tungsten TotalAgility vs UiPath IXP

Compared 16% of the time

ABBYY Vantage vs UiPath IXP

Compared 13% of the time

Instabase vs UiPath IXP

Compared 11% of the time

Amazon Textract vs UiPath IXP

Compared 8% of the time

HyperScience vs UiPath IXP

Compared 5% of the time

More UiPath IXP Competitors

Product Reports

Buyer's Guide

OpenText Capture

January 2026

Download OpenText Capture product report

Buyer's Guide

UiPath IXP

January 2026

Download UiPath IXP product report

Also Known As

OpenText Captivas

No data available

Overview

OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management.

OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined workflows, automating tasks such as extracting invoice data from scanned or emailed documents. Challenges include improving AI-driven document duplicate detection, OCR for lease abstraction, and the development of mobile capture features. Users seek a more user-friendly experience with lower licensing costs.

What are the key features of OpenText Capture?

Accurate Document Extraction: Utilizes machine learning to precisely extract information.
Automated Invoice Management: Reduces manual input through automation.
CRM System Integration: Seamlessly integrates with CRM for enhanced workflow.
Effective OCR Tool: Capable of advanced scanning and image processing.
API Interaction: Supports API use over mobile, email, or web platforms.
Custom Scripting: Enables tailored functionality to meet user-specific needs.

What benefits or ROI should users expect?

Increased Efficiency: Streamlines document management, saving time and resources.
Cost Reduction: Minimizes human intervention, reducing operational costs.
Enhanced Data Accuracy: Provides precise data capture and processing.
Flexible Integration: Easily connects with existing systems for a cohesive workflow.
Improved Automation: Boosts productivity through intelligent automation features.

Industries rely on OpenText Capture for efficient document management in capturing vendor invoices and automating workflows. In real estate, OCR might be used for processing lease documents, streamlining property management. Finance sectors benefit from automated invoice handling, often integrating data with ERP systems for improved financial oversight.

OpenText

UiPath IXP leverages machine learning and OCR technology to streamline document processing. Its intelligent field recognition and prebuilt algorithms enhance accuracy, offering integration capabilities to meet demands across industries, while addressing pricing and handwriting recognition challenges.

UiPath IXP provides robust automation for document management with features like efficient document classification and the ability to process different formats, including handwritten and image-based inputs. The AI and Action Centers facilitate validation processes, making it adaptable for multiple use cases. Although handwriting recognition and integration with other systems need improvement, its pre-trained templates ensure swift deployment. Pricing concerns remain, particularly for smaller organizations, but IXP continues to be an advantageous solution in document automation when accuracy and efficiency are prioritized.

What are the key features of UiPath IXP?

Machine Learning: Automates and optimizes data processing.
Easy Integration: Seamlessly connects with other systems.
OCR Technology: Accurately captures text from images and scanned documents.
Intelligent Field Recognition: Identifies and processes diverse document elements.
Prebuilt Algorithms: Reduces manual interventions, enhancing precision.

What benefits or ROI should be expected from UiPath IXP?

Document Automation: Streamlines complex document workflows.
Accuracy: Minimizes errors with advanced recognition capabilities.
Efficiency: Lowers operational costs via reduced manual tasks.
Rapid Deployment: Pre-trained templates ensure quick setup.

In finance, UiPath IXP automates invoice handling and data extraction, crucial for reducing manual effort. Healthcare leverages it for managing patient records with high accuracy. Manufacturing benefits from processing order forms and compliance documents, handling substantial volumes efficiently and effectively.

UiPath

Buyer's Guide

OpenText Capture vs. UiPath IXP

December 2025

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