OpenText Capture Reviews

Name: OpenText Capture
Brand: OpenText
Rating: 4.1 (8 reviews)

4.1 out of 5

8 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 72% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.

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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 August 2025, the mindshare of OpenText Capture in the Intelligent Document Processing (IDP) category stands at 7.8%, up from 7.4% 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)	Aug 20, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 20, 2025	Download
Comparison	OpenText Capture vs ABBYY Vantage	Aug 20, 2025	Download
Comparison	OpenText Capture vs UiPath Document Understanding	Aug 20, 2025	Download
Comparison	OpenText Capture vs Automation Anywhere	Aug 20, 2025	Download

Title	Rating	Mindshare	Recommending
ABBYY Vantage	4.0	13.7%	93%	51 interviews Add to research
Tungsten TotalAgility	4.1	8.7%	89%	22 interviews Add to research

Valuable Features

OpenText Capture excels in document management, offering features like accurate extraction through machine learning, reducing manual invoice tasks. Key advantages include API for web, mobile access, multi-tenant surveys, custom scripting, OCR for document conversion, multi-channel integration including mobile, and powerful AI for data processing. It supports integration with CRM, point-of-sale systems, Salesforce, SAP, enhancing automation of document-intensive tasks, minimizing manual data entry, and handling large data volumes efficiently.

"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 could benefit from improvements in smart document duplication detection and enhanced OCR capabilities. Users seek a more user-friendly interface and better reporting tools. There are challenges with capturing handwritten information. Simplification is necessary, especially for developers. Licensing costs pose challenges for small and medium businesses, and the mobile capture feature requires further enhancement. Users desire advanced data extraction and AI capabilities without increased complexity.

"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

Enterprise buyers report that OpenText Capture pricing can start at approximately $15,000 for handling 100,000 pages annually. Many highlight that costs can increase substantially due to required licenses or enterprise packages. Customers with varying needs indicate the solution's market price is higher than average, reflecting its comprehensive capabilities. Some rate the pricing eight out of ten, suggesting satisfaction despite perceived expense. Performance at different volume levels influences the overall pricing experience.

"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 primarily used for document management and automation processes such as capturing, extracting, and indexing documents from various sources like emails, faxes, and scans. Users employ it for vendor invoice management, email workflow automation, image capture, and recognition using machine learning. Integration into ECM platforms allows efficient data handling, with capabilities to process large volumes of documents efficiently and automatically verify and push extracted data into desired systems.

Service and Support

Customer service and support for OpenText Capture generally receive positive feedback. Professional services and tech support are praised, though getting assistance without a package may be difficult. Support staff often escalate issues due to limited knowledge. Responsiveness is noted as commendable, but time zone challenges, especially in Morocco, are highlighted. Maintenance from the OpenText site is available, though not always detailed. Overall, technical support is rated around six out of ten.

Deployment

Setting up OpenText Capture tends to be moderately complex. Some find it straightforward and easy, especially during initial installation. However, complexity may increase with changes or additional module installations. Deployment often involves several months, sometimes utilizing consultants. Authentication configuration poses challenges, and cloud capabilities add further complexity. Implementing partners might find the process manageable due to their expertise, handling design, navigation, and deployment tasks independently.

Scalability

Users report that OpenText Capture performs well in scalability for various implementations, accommodating both enterprise-wide and centralized scanning setups. Licensing depends on scanned pages per year. It operates on a Windows platform and requires SQL Server, necessitating expertise for high availability in SQL Server configurations. Some organizations plan to expand usage and haven't noted complaints from stakeholders, although current configurations aren't consolidated across all repositories yet. Scalable practices suit diverse environments.

Stability

OpenText Capture is reported to be stable by many users, with no significant problems encountered. Some users note that its functionality needs more customization for better accuracy. A few have experienced performance issues during data extraction, especially with high document volumes, leading to longer processing times. However, they found faster and more precise data extraction using Paradatec. Despite these concerns, many rate its stability highly, even during upgrades involving large-scale operations in industries like real estate and banking.

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

19%

Computer Software Company

11%

Manufacturing Company

10%

Government

10%

Insurance Company

Construction Company

Retailer

Real Estate/Law Firm

Media Company

Performing Arts

Comms Service Provider

Healthcare Company

Recreational Facilities/Services Company

Educational Organization

Logistics Company

Energy/Utilities Company

Non Profit

University

Wholesaler/Distributor

Hospitality Company

Consumer Goods Company

Non Tech Company

Pharma/Biotech Company

Engineering Company

Transportation Company

Legal Firm

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.