IBM Datacap vs UiPath IXP comparison

Why PeerSpot?

IBM and UiPath are both solutions in the Intelligent Document Processing (IDP) category. IBM is ranked #6 with an average rating of 9.5, while UiPath is ranked #2 with an average rating of 7.0. IBM holds a 2.4% mindshare in IDP, compared to UiPath’s 4.8% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 90% of UiPath users who would recommend it.

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 18, 2026

IBM Datacap and UiPath IXP are prominent competitors in the data management solutions category. IBM Datacap seems to have the upper hand with its robust data capturing from unstructured content and excellent integration options, while UiPath IXP shines with strong machine learning capabilities for document processing and automation.

Features: IBM Datacap excels in capturing data from unstructured content, offers excellent integration options, and includes robust barcode recognition. UiPath IXP is recognized for its powerful machine learning capabilities, efficient handling of diverse document formats, and strong automation features.

Room for Improvement: IBM Datacap could enhance its OCR processing speed, UI, and integration with AI technologies like Watson. UiPath IXP needs to improve handwriting accuracy, signature recognition, and its pricing structure could be made more flexible and transparent.

Ease of Deployment and Customer Service: IBM Datacap is primarily on-premises with varied customer support experiences. UiPath IXP offers flexible cloud deployments but has mixed customer support experiences due to downsized support teams.

Pricing and ROI: IBM Datacap's high pricing and complex licensing models pose cost concerns, while UiPath IXP also presents a complex pricing structure despite emphasizing ROI through automation. Both solutions are considered expensive by users.

To learn more, read our detailed IBM Datacap vs. UiPath IXP Report (Updated: September 2026).

Buyer's Guide

IBM Datacap vs. UiPath IXP

September 2026

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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

Automation Anywhere

Mindshare comparison

As of November 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, up from 3.3% compared to the previous year. The mindshare of IBM Datacap is 2.4%, down from 4.2% compared to the previous year. The mindshare of UiPath IXP is 4.8%, down from 9.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intelligent Document Processing (IDP) Mindshare Distribution
Product	Mindshare (%)
Automation Anywhere	3.4%
UiPath IXP	4.8%
IBM Datacap	2.4%
Other	89.4%

Intelligent Document Processing (IDP)

Featured Reviews

Venkat Sivaprakash

Management Consultant at Accenture

Has significantly improved document-driven workflows and reduced processing time across finance and HR functions

Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.

Read full review

DeekshithShetty

Software Development Senior Specialist at a tech vendor with 10,001+ employees

High-accuracy document processing with easy integration and good image enhancement

The OCR extractions are very good, almost 100% accurate now. The integration with other tools is very easy, with inbuilt actions to configure and directly export to multiple depositories. It is also good at image enhancement, including the removal of lines, which is helpful in processing and automation and ensures very little user intervention, thus saving time.

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reviewer779900

Consultant at a consultancy with 201-500 employees

Automation has transformed invoice extraction and has reduced manual processing time dramatically

When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoices or handwritten ones, where there is some mismatch or difference in extraction. This could be improved. For instance, if there is a "Z" available on the screen, it may be identified as "2." Improvements in these two areas from the extraction point of view are necessary, along with considerations regarding pricing levels. In terms of support, UiPath is performing very well. Whenever we require assistance from UiPath, it has been positive. However, I would suggest that there is room for improvement in identifying complex different layout invoices, particularly for handwritten text, since there is potential for improvement in that area.

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

"Automation Anywhere provides the best feature to make a software bot for processes."

"Automation Anywhere has not only my organization but several customers as well, particularly the organizations from the automobile industry, benefitted in their vision to transform their business objective towards the path of digital transformation."

"The Excel operations are very good."

"It is easy to learn and easy to deploy. That is the best part compared to the other RPA solutions available in the market. Automation Anywhere is easier than UiPath and Blue Prism."

"The ease of use for the end user and the very low complexity in trying to build a bot are the big factors for us."

"It saves us man-hours, headcount, and processing time, and we have automated the equivalent headcount of 500 FTEs since we started, with those people doing different types of work activities instead of being laid off."

"We have been able to reduce the amount of repetitive tasks completed by operations, allowing individuals to move onto tasks which cannot yet be automated."

"The most valuable feature of our solution is the cognitive computing because that is coming onto stream a lot faster than you would think. What used to be in the middle of, "Can this be done or not?", is becoming, "It can be done." We are getting some incredible straight through processing rates with AR around healthcare and financial services."

More Automation Anywhere pros

"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."

"The solution offers many features that are beneficial for customers."

"At the forefront of my thoughts, the standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application."

"The second thing that I like about Datacap is the fingerprint capture which is easy to configure on Datacap. From the form of the document, if a document is redundant in the same department, we can configure the capture based on the form of the documents"

"Our clients have significantly improved efficiencies when opening accounts for end users."

"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."

"It's a platform, not a configured application, so you can do what you want with it."

"The most valuable feature is its ability to capture data, which changes all the time into different formats."

More IBM Datacap pros

"It shortens the time of extracting data by 70 to 80%."

"The most valuable feature is the ability for humans to train the bot."

"UiPath's Document Understanding significantly reduces the effort needed to train a machine-learning model for our documents."

"Document classification is very good."

"The highly visual and user-friendly interface was a standout feature."

"Invoice processing is the most valuable feature. Most of my customers use Document Understanding for invoice processing. That's one of the most common use cases. Typically, each customer starts their RPA journey with the finance department because that's the area where you can see the most benefit."

"I found UiPath Document Understanding helpful in automating different types of processes. One process can be split into multiple processes or sub-processes. You can also use it for ID management or extracting data from IDs, such as passports or government-issued IDs, which I like."

"There are many features that can be added to the action center to keep humans in the loop to evaluate the accuracy of the extracted data."

More UiPath IXP pros

Cons

"If the option were available to use the old generic-style variable type, it would be helpful."

"Their support also needs improvement."

"We'd like to see more AI features."

"There is an issue with security where users can see the values in the credential vault."

"I would like to see a technology where they can automatically update or upgrade themselves to the latest version, without having to uninstall the current bot."

"For future prospects, this tool should 80 percent deal with neural networks, deep learning, and artificial intelligence and that has to be integrated a lot. As these are future skills, these integrations will help us take the tool to take to the next level."

"There is room for improvement in the stability of this product."

"Automation Anywhere's current requirement for upfront annual payments limits flexibility for customers."

More Automation Anywhere cons

"The interface can be more intuitive."

"When a client's requirement is not available in Datacap, out-of-the-box actions should be simpler to implement and not very complex."

"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."

"What could be improved in IBM Datacap from a technical perspective is having everything together all in one place, rather than having several different interfaces. The addition of cloud-based OCR technology would also make this solution better. There's also room for improvement for their technical support."

"If it is registered as a critical issue, we receive a response from IBM after one day which can cause our clients to lose business."

"When I scan a document in Datacap that has a watermark or the document is a little distorted, the image output is poor. It either becomes completely black, or there is so much distortion that we cannot read the numbers or the addresses mentioned in the POD. When we scan a document, we expect the output to be at least 95 percent accurate."

"Reporting and analytics seem to often be something of an afterthought. With Datacap, they've started building out some dashboards, but one thing we hear from our clients a lot is, "Well, gee, we really love reports. What Datacap has is not really helpful. We'd like something better. We'd like more dashboards." That's one area where we've seen some feedback that the product could do better."

"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation. Expertise in this specific product is rare throughout the market. One key reason is the product's limited downloads. Additionally, archiving solutions are often perceived as complex and challenging, dissuading many companies from venturing into this domain. Consequently, partners who specialize in archiving solutions are always seeking straightforward, uncomplicated options that are easy to manage and meet customer expectations."

More IBM Datacap cons

"UiPath could improve its analytics and interface."

"A lot of coding is required to make handwriting decoding happen; it's not so easy as plug and play."

"Document Understanding would be improved with more AI platforms."

"Currently, we have to train multiple templates because the column size and row size change in each PDF."

"Handwriting recognition in UiPath Document Understanding is very difficult."

"I would like to see more integration of artificial intelligence. That's being implemented, but it would be a massive improvement to the solution's document processing. If UiPath achieves intelligent document processing, it will be far better than anything on the market. There are currently some limitations with the fields that could be addressed using a GPT engine. With an integrated AI model, you wouldn't need to create your taxonomy. You would only need to provide some prompts, such as "What is the property name?" It will store that as a variable."

"When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoices or handwritten ones, where there is some mismatch or difference in extraction."

"The licensing model poses a significant challenge due to the fee charged for posting a model, which impedes the development of productivity-enhancing models."

More UiPath IXP cons

Pricing and Cost Advice

"No one is balking at the cost. They are market rates and will change, but no one is saying, "That is ridiculous or impossible." They are saying, "Show me the ROI and prove that the cost is accurate.""

"The cost is anywhere between $10,000 and $100,000."

"The cost of Automation Anywhere is high in Turkey due to the weak economy."

"If you look at the capital expenditure, Automation Anywhere is number two to UiPath. But if you take a long-term view, on a scalable model of a large number of bots coming out, it slowly goes on to become the costliest tool. There is something they can do about that. The capital expenditure goes out right at the point of buying the tool. For Automation Anywhere, I would need to spend $20,000. UiPath can give me something for $6,000, while Blue Prism will come in at $300,000."

"Yearly, our licensing costs are about $90,000 to $100,000. There will be additional licensing costs when we add more Bot Runners to our infrastructure."

"The enterprise version is expensive for small businesses and individual users."

"I've seen the price vary by whether the client is going to scale and adopt a tool."

"The pricing model can be a bit more flexible."

More Automation Anywhere pricing and cost advice

"IBM could offer more competitive pricing. This would allow them to attain more users. Some of our clients are considering moving to a different solution called Encapture which is similar but offers more competitive pricing."

"Pricing needs to stay competitive."

"You save a lot of time and money, but the benefit is you have people who are able to run the systems, check to see if there are any errors at all, and there are a lot less errors than a human system."

"In Egypt, we have exchange rates that change year to year, and currently, we're facing an increase in the exchange rate between our Egyptian pound and the dollar. Since we have been using IBM DataCap two years ago we had a good price, it was not expensive. However, I cannot say now if it is expensive or not because of the exchange rate. Additionally, I don't have the data of other competitors and I don't know the prices."

"This solution is the most expensive in the market."

"If you want IBM Datacap on cloud, which is a service run by IBM, the price can be quite expensive, but if you want to just purchase the licenses and own those yourself, then the price is very competitive."

"We were using the User Value Unit licensing, which means we get charged per active user of the system, and if I'm not mistaken, we also had it for the rule runner service. They had a PVU license model, which is a processor value unit. For each process that we have in our system, we pay a certain amount of money. We found the pricing to be quite steep. It was really an expensive solution in comparison to Kofax, which had a different licensing model and was actually cheaper overall because they charge per page and not per user and per process."

"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."

More IBM Datacap pricing and cost advice

"Its pricing can be looked into because it is on the higher side for developing economies, such as India, where the cost of labor is a little cheaper compared to advanced technologies."

"UiPath is a pricey tool for small customers."

"It is expensive. The license cost for UiPath Studio has risen to around 3.5 lakhs last year, and I am uncertain how much the increase will be this year. They have also increased the bot prices."

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

"For the licensing part, in our company, we initially started off with a monthly plan, but yearly plans are also there. Cost-wise, UiPath Document Understanding is good since it provides flexibility in its pricing."

"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."

"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."

"I used the community version, so there was no fee."

More UiPath IXP pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

14%

Comms Service Provider

12%

Financial Services Firm

11%

Manufacturing Company

11%

Financial Services Firm

15%

Manufacturing Company

12%

Outsourcing Company

Healthcare Company

Financial Services Firm

19%

Manufacturing Company

10%

Outsourcing Company

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	162
Midsize Enterprise	86
Large Enterprise	565

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	12
Large Enterprise	26

Questions from the Community

How good is Automation Anywhere for RPA processes?

It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...

See all answers

How good is Automation Anywhere for RPA processes?

From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...

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How good is Automation Anywhere for RPA processes?

It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.

See all answers

What is your experience regarding pricing and costs for IBM Datacap?

Pricing is in the mid-range but could be more affordable, rated at four point five.

See all answers

What needs improvement with IBM Datacap?

IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing ...

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What is your primary use case for IBM Datacap?

I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Speci...

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

My experience with pricing, setup cost, and licensing has been somewhat complex. I feel that the pricing structure is...

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What needs improvement with UiPath Document Understanding?

When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoi...

See all answers

What is your primary use case for UiPath Document Understanding?

We have been using UiPath IXP previously after utilizing UiPath's Document Understanding for one of our clients. We f...

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Comparisons

UiPath Platform vs Automation Anywhere

Compared 10% of the time

Blue Prism vs Automation Anywhere

Compared 5% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 4% of the time

AutomationEdge vs Automation Anywhere

Compared 3% of the time

Appian vs Automation Anywhere

Compared 2% of the time

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ABBYY Vantage vs IBM Datacap

Compared 14% of the time

Tungsten TotalAgility vs IBM Datacap

Compared 9% of the time

OpenText Capture vs IBM Datacap

Compared 8% of the time

Grooper vs IBM Datacap

Compared 6% of the time

Blue Prism Cloud vs IBM Datacap

Compared 4% of the time

More IBM Datacap Competitors

Tungsten TotalAgility vs UiPath IXP

Compared 14% of the time

ABBYY Vantage vs UiPath IXP

Compared 9% of the time

Instabase vs UiPath IXP

Compared 6% of the time

Amazon Textract vs UiPath IXP

Compared 5% of the time

More UiPath IXP Competitors

Product Reports

Buyer's Guide

Automation Anywhere

October 2026

Download Automation Anywhere product report

Buyer's Guide

IBM Datacap

October 2026

Download IBM Datacap product report

Buyer's Guide

UiPath IXP

October 2026

Download UiPath IXP product report

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)

Datacap

No data available

Interactive Demo

Automation Anywhere

Demo not available

IBM

Demo not available

UiPath

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

IBM Datacap offers advanced OCR capabilities, auto-indexing, and integration with FileNet and web services to efficiently manage structured and unstructured data. It supports machine learning, low-code development, and streamlined workflows for improved operational efficiency.

IBM Datacap captures and processes different data types, providing extensibility and scalability for organizations aiming to enhance their document management processes. It integrates seamlessly with IBM FileNet and other platforms, while offering features like fingerprint recognition and image enhancement. Users benefit from reduced manual tasks and errors through its automated workflows. However, challenges include recognition accuracy improvements, faster scanning, and a shift towards cloud infrastructure. Third-party integrations and support services need enhancement, while increasing customization and support for the Arabic language remains essential. Enhancements in reporting, automation, and AI integration are priority improvement areas.

What features make IBM Datacap stand out?

OCR Capability: Robust text recognition for data extraction.
Auto-Indexing: Efficient categorization and data management.
Seamless Integration: Compatible with FileNet and web services.
Machine Learning: Supports intelligent data processing.
Low-Code Development: Simplifies adding custom features.

What benefits do users see with IBM Datacap?

Efficiency: Reduces manual tasks and errors.
Scalability: Adapts to organizational growth.
Extensibility: Easy to expand and customize features.
Streamlined Workflows: Facilitates smooth operations.

IBM Datacap supports industries such as insurance, banking, government services, and trade finance by digitizing and automating document capture processes. By integrating OCR-based data extraction and cloud services, organizations enhance efficiency and data management across various applications.

IBM

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

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil

Information Not Available

Buyer's Guide

IBM Datacap vs. UiPath IXP

September 2026

Free Report: IBM Datacap vs. UiPath IXP

Find out what your peers are saying about IBM Datacap vs. UiPath IXP and other solutions. Updated: September 2026.

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