OpenText Intelligent Capture pros and cons

Vendor: OpenText

4.1 out of 5

7 reviews
100% willing to recommend

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OpenText Intelligent Capture Pros review quotes

reviewer1716609

Senior Director, Platform Engineering at a real estate/law firm with 10,001+ employees

Nov 15, 2021

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.

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Shital Funde

Managar at a computer software company with 1,001-5,000 employees

Oct 25, 2022

The solution is very powerful because it allows for custom scripting.

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reviewer1973199

CTO - SVP Products and Services at a tech services company with 11-50 employees

Oct 11, 2022

It allows you to image capture, scan documents and use machine learning to automatically index and tie them.

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Buyer's Guide

Intelligent Document Processing (IDP)

April 2024

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Eliot Mthimunye

Senior Enterprise Architect at Eskom Holdings SOC Ltd

Jul 18, 2022

The automated version of the vendor invoice management is great.

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AnujMaken

Assistant Vice President (Practice & Solutioning) at Genpact - Headstrong

Jan 12, 2022

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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Elsayed Mostafa

IT Expert, Senior Business process analyst at Tetra Tech

Jul 13, 2023

The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.

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OpenText Intelligent Capture Cons review quotes

reviewer1716609

Senior Director, Platform Engineering at a real estate/law firm with 10,001+ employees

Nov 15, 2021

I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents

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Abderrahmane Moumile

Co-founder & Solutions Architect ECM CCM & Electronic Signature at Sabil IT

Nov 1, 2023

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.

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Shital Funde

Managar at a computer software company with 1,001-5,000 employees

Oct 25, 2022

Knowledge of .NET is required to effectively use the solution or it can be complicated.

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Buyer's Guide

Intelligent Document Processing (IDP)

April 2024

Download Free Report

Find out what your peers are saying about OpenText, ABBYY, Tungsten Automation and others in Intelligent Document Processing (IDP). Updated: April 2024.

DOWNLOAD NOW

767,319 professionals have used our research since 2012.

reviewer1973199

CTO - SVP Products and Services at a tech services company with 11-50 employees

Oct 11, 2022

The setup is medium complexity.

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Eliot Mthimunye

Senior Enterprise Architect at Eskom Holdings SOC Ltd

Jul 18, 2022

If something is handwritten and attached to an email, it doesn't capture the information correctly.

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AnujMaken

Assistant Vice President (Practice & Solutioning) at Genpact - Headstrong

Jan 12, 2022

It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement.

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Elsayed Mostafa

IT Expert, Senior Business process analyst at Tetra Tech

Jul 13, 2023

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.

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