OpenText Intelligent Capture Reviews

Name: OpenText Intelligent Capture
Brand: OpenText
Rating: 4.1 (7 reviews)

4.1 out of 5

7 reviews
100% willing to recommend

What is OpenText Intelligent Capture?

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.

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OpenText Intelligent Capture is the #4 ranked solution in top Intelligent Document Processing (IDP) solutions. PeerSpot users give OpenText Intelligent Capture an average rating of 8.2 out of 10. Based on the analysis of the 7 most recent OpenText Intelligent Capture reviews, the overall sentiment is positive, with a sentiment score of 6.7. (Among the lowest in the category). OpenText Intelligent Capture is most commonly compared to ABBYY Vantage: OpenText Intelligent Capture vs ABBYY Vantage. OpenText Intelligent Capture is popular among the large enterprise segment, accounting for 71% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.

Buyer's Guide

OpenText Intelligent Capture

November 2024

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Featured reviews

Shital Funde

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

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.

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Eliot Mthimunye

Senior Enterprise Architect at Eskom Holdings SOC Ltd

The only issue is if something is handwritten and attached to an email, it doesn't capture the information correctly. So it has to be an invoice from the machine. It will be good to employ some robotic process automation for future improvements. This feature will be beneficial once we better understand the business requirements.

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Abderrahmane Moumile

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

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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OpenText Intelligent Capture mindshare

As of November 2024, the mindshare of OpenText Intelligent Capture in the Intelligent Document Processing (IDP) category stands at 8.3%, down from 10.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

Key learnings from peers

Last updated Nov 21, 2024

Valuable Features

OpenText Intelligent Capture offers valuable features like accurate extraction using machine learning, automated vendor invoice management reducing human involvement, and the ability to classify and identify document types automatically. Its powerful OCR tool supports scanning and image processing. Custom scripting enhances functionality for those with coding expertise. Easily integrated with CRM systems, it provides robust document management with multi-tenant access, permission control, and convenient access through API for email, mobile, and web.

"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"The solution is very powerful because it allows for custom scripting."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."

Room for Improvement

OpenText Intelligent Capture's primary areas needing refinement include enhancing duplicate document detection using AI or security algorithms, implementing OCR capabilities for specific data extraction, and improving user-friendliness. Licensing costs present challenges for smaller businesses. The mobile capture feature also requires attention to improve smartphone efficiency. Additionally, more reporting capabilities and lightweight versions with OCR options, excluding extensive packages, are suggested. Further, concerns exist around handling handwritten documents and .NET knowledge necessity.

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

Pricing

"OpenText is an expensive solution."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."

Popular Use Cases

Organizations primarily use OpenText Intelligent Capture for managing vendor invoices, automating email workflows, extracting information from PO invoices, and scanning documents. It utilizes machine learning for document recognition, indexing, and workflow automation. This tool processes documents from emails, ensures efficient data capture, handles diverse document types, and supports integration into systems like ERP and ECM. Users benefit from improved image capture and streamlined documentation processes across various platforms.

Service and Support

OpenText Intelligent Capture's customer service is generally perceived positively. Users highlight good service and tech support experiences, especially with the professional services package. Without it, obtaining assistance can be challenging and time-intensive due to required escalations. Responsiveness is praised, but time zone barriers can hinder effectiveness, particularly for regions like Morocco. Maintenance and support are accessible through the OpenText site, although detailed experiences might vary among users.

Deployment

Initial setup of OpenText Intelligent Capture is described as medium complexity by many. Some took two and a half months dealing with authentication issues, others spent 12 to 16 weeks with changes increasing complexity. Deployment by third-party vendors with consultants lasted six to eight months, covering testing and phases. Separate installation of modules adds complexity, though some handle everything independently, from design to deployment, finding it straightforward.

Scalability

OpenText Intelligent Capture is deemed scalable, accommodating various implementations from enterprise-wide to centralized scanning groups. It functions well with numerous users and scales based on scanning volume. Though its scalability is noted, it operates on a Windows platform with SQL Server, requiring expertise in high availability configurations. This is crucial for managing complex environments where high availability is essential. No negative feedback has been reported from business stakeholders regarding its scalability.

Stability

Users find OpenText Intelligent Capture stable, with several noting no issues even at high volumes in industries like real estate and banking. While praised for its stability, some mentioned a need for improved accuracy in recognition and capturing if not customized properly. Upgrades from version 7.1 to 22.0 proceeded smoothly without stability issues. Stability is rated nine out of ten, indicating strong reliability across different implementations.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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