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Grooper vs OpenText Intelligent Capture comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024
 

Categories and Ranking

Grooper
Ranking in Intelligent Document Processing (IDP)
27th
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
OpenText Intelligent Capture
Ranking in Intelligent Document Processing (IDP)
4th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Intelligent Document Processing (IDP) category, the mindshare of Grooper is 0.5%, up from 0.5% compared to the previous year. The mindshare of OpenText Intelligent Capture is 8.1%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP)
 

Featured Reviews

reviewer1552698 - PeerSpot reviewer
Good data ingestion and classification capabilities, supports various media types and formats, and the interface is easy to use
Currently, we're still using version 2-7-2, and now they're about to do the beta release on their version 2021. In this coming version, we expect that some of our issues will be fixed. We've had challenges in classification tasks where similar documents were flagged as multiple matches. The system would identify them and say, "Hey, I think I've got multiple matches. It could either be this one or that one." Because of that, it required us to instruct the system to either leave it unclassified, or we had to halt the process for somebody to look at it. With the new version for 2021, they have changed the paradigm. As it is now, we're using something called a form type, where pages within the document are referenced using a specific page number. For example, in a ten-page document, you might refer to information specifically on the first or fifth page. In the new paradigm, there is a first, middle, and last page concept, as opposed to having the different form types with all of the different pages. What they're telling me is that it's going to make the classification more accurate. Just because the first page of two different documents looks the same, they will not be considered duplicates. Having multiple points of reference will now allow it to better distinguish them. The other area we have had challenges with is table extractions, where if the data headers were not defined, or the tables did not have descriptions for the columns. My understanding is that in the 2021 version, they've now shown that they're handling that. Again, we don't have it and haven't been able to test it, but it's coming. Technical support is definitely an area that they need improvement in, in terms of the front-line individuals.
Shital Funde - PeerSpot reviewer
A powerful solution for custom scripting but .NET knowledge is required
Knowledge of .NET is required to effectively use the solution or it can be complicated. I was able to train customers to use the solution if they had some .NET experience. The solution should offer a lightweight version that includes the OCR or document scanning and does not include the entire enterprise package with custom scripting.

Quotes from Members

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

Pros

"Grooper processes difficult sorts of data and unstructured or semi-structured content very well. It's probably one of the better solutions I've seen compared to other solutions I've seen out there. It does a lot more things like segmentation extraction. It does it a lot better. Grooper has more focus on these types of freeform documents where other solutions are very generic and this is a little more elaborate in what they've done. I think they take it to the next level of extracting freeform data."
"Lexicons where the key vocabulary can be inputted it is very helpful."
"The user interface is easy to use, and the flexibility is noteworthy."
"There are many options and customizations that you can make to each individual extractor that allows you to tweak it for exactly what you need."
"The solution is very powerful because it allows for custom scripting."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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."
"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."
 

Cons

"Technical support is definitely an area that they need improvement in, in terms of the front-line individuals."
"They should have more sub-extractors or exclusion extractors so that the user does not have to make a parent data type."
"If Grooper could "sense" important fields on the document and auto-build extractors for them, that'd be really cool."
"Grooper is new. It's new beta stuff, so we've had some issues, but that's understandable. Getting the beta product to more of a true release is where it needs improvement. I'm going through training now, so it's hard to judge what they have and don't have until I get through that training. Training is the main thing for me because I'm trying to learn and take things I've learned from other products and try to transfer that knowledge to this one."
"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."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"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."
 

Pricing and Cost Advice

"Know how many pages you will be needing to process, as the pricing is based on that."
"Overall, their pricing is higher than the competitors, but they offer functionality that is otherwise not available."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."
"OpenText is an expensive solution."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Manufacturing Company
14%
Computer Software Company
13%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about OpenText Intelligent Capture?
The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.
What needs improvement with OpenText Intelligent Capture?
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 lice...
What is your primary use case for OpenText Intelligent Capture?
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...
 

Also Known As

No data available
OpenText Captivas
 

Learn More

 

Overview

 

Sample Customers

Oklahoma DOT, Mercy Hospital System, OLERS, Oklahoma State University, Change Healthcare, U.S. Nuclear Regulatory Commission, American Airlines Credit Union
Information Not Available
Find out what your peers are saying about Grooper vs. OpenText Intelligent Capture and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.