AntWorks CMR+ vs OpenText Intelligent Capture comparison

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AntWorks Logo
365 views|172 comparisons
100% willing to recommend
OpenText Logo
2,279 views|976 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AntWorks CMR+ and OpenText Intelligent Capture based on real PeerSpot user reviews.

Find out what your peers are saying about ABBYY, Automation Anywhere, UiPath and others in Intelligent Document Processing (IDP).
To learn more, read our detailed Intelligent Document Processing (IDP) Report (Updated: April 2024).
768,886 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data.""The automation provided by this solution has saved us a lot of time."

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"The automated version of the vendor invoice management is great.""The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.""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."

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Cons
"It would be very helpful to have a simple and extensive training guide, or training model, to help learn how to work with the product.""We would like to see the overall accuracy increase from approximately 70% to perhaps 85%."

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"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""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.""The setup is medium complexity.""It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement.""Knowledge of .NET is required to effectively use the solution or it can be complicated.""If something is handwritten and attached to an email, it doesn't capture the information correctly."

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Pricing and Cost Advice
  • "The pricing is really good, and it's based on usage."
  • More AntWorks CMR+ Pricing and Cost Advice →

  • "Some customers say the solution can get costly because it requires licenses or enterprise packages."
  • "OpenText is an expensive solution."
  • More OpenText Intelligent Capture Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data.
    Top Answer:The pricing is good, and it's based on usage. We were one of the early customers. On a scale of one through ten, price-wise, I would rate this product an eight.
    Top Answer:We would like to see the overall accuracy increase. Having the ability to measure accuracy is something that is important to us, so this is an areas that could improve. The technical support could be… more »
    Top Answer:The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.
    Top Answer: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… more »
    Top Answer:It is designed for the automated capture and recognition of documents. Whether obtained through scanning, emails, faxes, or other sources, documents can be captured and data automatically extracted… more »
    Ranking
    Views
    365
    Comparisons
    172
    Reviews
    1
    Average Words per Review
    1,294
    Rating
    8.0
    Views
    2,279
    Comparisons
    976
    Reviews
    4
    Average Words per Review
    440
    Rating
    8.3
    Comparisons
    Also Known As
    ANTstein
    OpenText Captivas
    Learn More
    Overview

    CMR+ combines AI technologies like Deep Learning, Natural Language Processing (NLP), Machine Vision, and Machine Learning (ML) to pre-process, classify, extract, and validate all data types.

    OpenText™ Intelligent Capture, formerly OpenText Captiva, is an enterprise capture platform, providing omni-channel capabilities for collecting everything from scanned paper to chatbots. It is not just for organizing content at the front door, but automating processes across the enterprise. It can automate processes for standard documents, such as Financial Accounts Payable and Accounts Receivable, or complex documents, such as contracts or partner requests that require action based on the document’s content.

    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm12%
    Manufacturing Company12%
    Computer Software Company8%
    Government8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm16%
    Manufacturing Company12%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise75%
    REVIEWERS
    Small Business29%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    Intelligent Document Processing (IDP)
    April 2024
    Find out what your peers are saying about ABBYY, Automation Anywhere, UiPath and others in Intelligent Document Processing (IDP). Updated: April 2024.
    768,886 professionals have used our research since 2012.

    AntWorks CMR+ is ranked 9th in Intelligent Document Processing (IDP) with 2 reviews while OpenText Intelligent Capture is ranked 7th in Intelligent Document Processing (IDP) with 7 reviews. AntWorks CMR+ is rated 8.0, while OpenText Intelligent Capture is rated 8.2. The top reviewer of AntWorks CMR+ writes "Leading-edge NLP capabilities, efficient training of machine learning models, and the automation saves us significant time". On the other hand, the top reviewer of OpenText Intelligent Capture writes "A powerful solution for custom scripting but .NET knowledge is required". AntWorks CMR+ is most compared with ABBYY Vantage, UiPath and Automation Anywhere (AA), whereas OpenText Intelligent Capture is most compared with ABBYY Vantage, Tungsten TotalAgility, UiPath Document Understanding, IBM Datacap and HyperScience.

    See our list of best Intelligent Document Processing (IDP) vendors.

    We monitor all Intelligent Document Processing (IDP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.