OpenText Capture Reviews

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

4.1 out of 5

7 reviews
100% willing to recommend

What is OpenText Capture?

OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management.

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OpenText Capture is the #5 ranked solution in top Intelligent Document Processing (IDP) solutions. PeerSpot users give OpenText Capture an average rating of 8.2 out of 10. OpenText Capture is most commonly compared to ABBYY Vantage: OpenText Capture vs ABBYY Vantage. OpenText 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 18% of all views.

Helped 860,632 peers since 2012

Featured OpenText Capture 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 Capture mindshare

As of July 2025, the mindshare of OpenText Capture in the Intelligent Document Processing (IDP) category stands at 7.9%, up from 7.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

PeerResearch reports based on OpenText Capture reviews

Type	Title	Date
Category	Intelligent Document Processing (IDP)	Jul 5, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 5, 2025	Download
Comparison	OpenText Capture vs ABBYY Vantage	Jul 5, 2025	Download
Comparison	OpenText Capture vs UiPath Document Understanding	Jul 5, 2025	Download
Comparison	OpenText Capture vs Automation Anywhere	Jul 5, 2025	Download

Title	Rating	Mindshare	Recommending
ABBYY Vantage	4.0	14.6%	93%	51 interviews Add to research
Tungsten TotalAgility	4.1	8.4%	89%	22 interviews Add to research

Valuable Features

OpenText Capture offers accurate extraction through machine learning, enabling efficient document classification and metadata indexing. Organizations value its automated vendor invoice management, reducing human intervention. Users appreciate its powerful OCR tool for scanning and converting images to text, along with custom scripting capabilities for improved document management. Its integration with CRM systems enhances functionality. Multi-channel accessibility via APIs provides flexibility for document handling and permission management for diverse business lines.

"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 Capture needs improvement in detecting duplicate document storage, such as comparing content and signatures using AI or algorithms. There is demand for enhanced OCR capabilities and user-friendliness, as well as expanded reporting features. Licensing costs present challenges for smaller businesses. Mobile capture and document handling, especially with handwritten content, could be improved. Streamlining for users without deep .NET knowledge and offering lightweight options for document scanning is also recommended.

"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

OpenText Capture is used for document management and automation. Organizations implement it to capture documents from various channels like email and mobile, automate workflows, and manage vendor invoices. It uses machine learning for OCR, indexing, and classification processes, integrating data into an enterprise content management system. Vendors often deploy OpenText Capture for scanning and enhancing document images, supporting case management with varied document types, and improving information flow across different platforms.

Service and Support

Customer service for OpenText Capture is generally positive. Professional services and tech support are effective, especially with a paid package. Without it, obtaining help proves challenging as staff often escalate tickets, causing delays. Responsiveness is praised, but time zone differences, particularly for regions like Morocco, present issues. Improvements are necessary as Moroccan times are several hours behind. Support and maintenance are received from OpenText, but specific details are often unknown.

Deployment

Users found OpenText Capture's initial setup to have medium complexity. Installation is fairly straightforward, but configuring authentication presented challenges. Implementations took varying periods, ranging from two and a half months to six to eight months, depending on developer involvement and module requirements. Separate installations for different modules added to the complexity. Partner implementers managed the process from design to deployment, making it easier for them.

Scalability

OpenText Capture is scalable, performing well with around 1500 users. Users can scale based on scanning volume, and scalability largely depends on implementation. Some have enterprise-wide deployment, while others centralize scanning. Licenses are based on annual scanned pages, not user count. Despite being Windows-based and reliant on SQL Server, requiring expertise for high availability, no complaints have been noted from business stakeholders. Users anticipate increasing future usage, planning further repository consolidation.

Stability

Stability of OpenText Capture is described positively. Users find it stable with good performance. Some improvements in accuracy are desired if not customized properly. Industries like real estate and banking handle high volumes smoothly. A user successfully upgraded from version 7.1 to 22.0, moving documentation without encountering stability issues. The reliability is highly rated.

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

Download our OpenText Capture Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

12%

Manufacturing Company

11%

Government

10%

Insurance Company

Construction Company

Retailer

Real Estate/Law Firm

Comms Service Provider

University

Renewables & Environment Company

Performing Arts

Educational Organization

Healthcare Company

Recreational Facilities/Services Company

Hospitality Company

Logistics Company

Non Profit

Energy/Utilities Company

Wholesaler/Distributor

Consumer Goods Company

Pharma/Biotech Company

Transportation Company

Engineering Company

Legal Firm

Media Company

Non Tech Company

Compare OpenText Capture with alternative products

Learn more about OpenText Capture

OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined workflows, automating tasks such as extracting invoice data from scanned or emailed documents. Challenges include improving AI-driven document duplicate detection, OCR for lease abstraction, and the development of mobile capture features. Users seek a more user-friendly experience with lower licensing costs.

What are the key features of OpenText Capture?

Accurate Document Extraction: Utilizes machine learning to precisely extract information.
Automated Invoice Management: Reduces manual input through automation.
CRM System Integration: Seamlessly integrates with CRM for enhanced workflow.
Effective OCR Tool: Capable of advanced scanning and image processing.
API Interaction: Supports API use over mobile, email, or web platforms.
Custom Scripting: Enables tailored functionality to meet user-specific needs.

What benefits or ROI should users expect?

Increased Efficiency: Streamlines document management, saving time and resources.
Cost Reduction: Minimizes human intervention, reducing operational costs.
Enhanced Data Accuracy: Provides precise data capture and processing.
Flexible Integration: Easily connects with existing systems for a cohesive workflow.
Improved Automation: Boosts productivity through intelligent automation features.

Industries rely on OpenText Capture for efficient document management in capturing vendor invoices and automating workflows. In real estate, OCR might be used for processing lease documents, streamlining property management. Finance sectors benefit from automated invoice handling, often integrating data with ERP systems for improved financial oversight.

OpenText Capture was previously known as OpenText Captivas.