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Grooper vs Ocrolus comparison

 

Comparison Buyer's Guide

Executive Summary

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

Grooper
Ranking in Intelligent Document Processing (IDP)
29th
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Ocrolus
Ranking in Intelligent Document Processing (IDP)
37th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Intelligent Document Processing (IDP) category, the mindshare of Grooper is 0.5%, up from 0.3% compared to the previous year. The mindshare of Ocrolus is 0.6%, up from 0.1% 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.
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Comparisons

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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
1. Accenture 2. Aetna 3. AIG 4. Allstate 5. Amazon 6. Barclays 7. BNY Mellon 8. Capital One 9. Citigroup 10. Cognizant 11. Credit Suisse 12. Deloitte 13. E*Trade 14. EY 15. Experian 16. Fidelity 17. Gartner 18. General Motors 19. HSBC 20. JPMorgan Chase 21. LendingClub 22. Mastercard 23. McKinsey 24. Moody's 25. Morgan Stanley 26. Nationwide 27. PwC 28. Progressive 29. RBC 30. S&P Global 31. Square 32. TD Ameritrade
Find out what your peers are saying about ABBYY, UiPath, Automation Anywhere and others in Intelligent Document Processing (IDP). Updated: May 2025.
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