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Grooper vs IBM Datacap comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

Review summaries and opinions

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

Customer Service

No sentiment score available
Customer service resolves issues effectively, but front-line assistance needs improvement, especially for resellers, with responsive escalation support.
No sentiment score available
IBM Datacap support is knowledgeable but slow; users face language barriers; experiences vary from inadequate to effective assistance.
 

Room For Improvement

No sentiment score available
Grooper must improve extractor functionality, fix OCR bugs, enhance training, and support while ensuring a stable environment.
Sentiment score
4.9
IBM Datacap struggles with OCR speed, usability, AI integration, and lacks Arabic support, cloud capabilities, and workflow enhancements.
 

Valuable Features

No sentiment score available
Grooper efficiently extracts, classifies, and processes data from various files with customizable interfaces and enhanced OCR for quality output.
Sentiment score
8.1
IBM Datacap is valued for its seamless integration, automation, powerful features, scalability, and user-friendly licensing model.
 

Scalability Issues

No sentiment score available
Sentiment score
6.2
IBM Datacap offers scalable document processing, suitable for diverse enterprises, though complexity and licensing are critical factors.
 

Setup Cost

No sentiment score available
No sentiment score available
IBM Datacap is costly with complex licensing, variable pricing, and regional differences, impacting affordability despite integration benefits.
 

Stability Issues

No sentiment score available
Sentiment score
6.6
IBM Datacap's stability depends on version and implementation; recent updates improved it, but older versions faced issues.
 

Categories and Ranking

Grooper
Ranking in Intelligent Document Processing (IDP)
25th
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
IBM Datacap
Ranking in Intelligent Document Processing (IDP)
7th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Intelligent Document Processing (IDP) category, the mindshare of Grooper is 0.5%, down from 0.5% compared to the previous year. The mindshare of IBM Datacap is 4.3%, down from 5.1% 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.
Amena Khidr - PeerSpot reviewer
The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature
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.
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816,636 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
14%
Government
11%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about IBM Datacap?
The installation of the solution is very simple.
What needs improvement with IBM Datacap?
IBM Datacap cannot fetch unstructured data properly; it always gives you wrong information, so no one uses this solution for unstructured data. Even for structured data, sometimes the administrator...
 

Comparisons

No data available
 

Also Known As

No data available
Datacap
 

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Overview

 

Sample Customers

Oklahoma DOT, Mercy Hospital System, OLERS, Oklahoma State University, Change Healthcare, U.S. Nuclear Regulatory Commission, American Airlines Credit Union
Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil
Find out what your peers are saying about Grooper vs. IBM Datacap and other solutions. Updated: October 2024.
816,636 professionals have used our research since 2012.