IBM Datacap Reviews

Vendor: IBM

3.8 out of 5

28 reviews
89% willing to recommend

What is IBM Datacap?

IBM Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.

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IBM Datacap is the #7 ranked solution in top Intelligent Document Processing (IDP) solutions. PeerSpot users give IBM Datacap an average rating of 7.6 out of 10. IBM Datacap is most commonly compared to Automation Anywhere: IBM Datacap vs Automation Anywhere. IBM Datacap is popular among the large enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 17% of all views.

Helped 861,524 peers since 2012

Featured IBM Datacap reviews

DeekshithShetty

Software Development Senior Specialist at NTT Data

The OCR extractions are very good, almost 100% accurate now. The integration with other tools is very easy, with inbuilt actions to configure and directly export to multiple depositories. It is also good at image enhancement, including the removal of lines, which is helpful in processing and automation and ensures very little user intervention, thus saving time.

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Bhasker ReddyPIdintla

Technical Delivery Head at Tech Mahindra Limited

IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing feature is the ability to merge documents and present data across different UI screens. This is especially beneficial for customer onboarding where documents are scanned not all at once but periodically. Incorporating automation could also aid in this area.

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Amena Khidr

Sales Manager - Government Sector at Summit Technology Solution

The standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application.

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IBM Datacap mindshare

As of July 2025, the mindshare of IBM Datacap in the Intelligent Document Processing (IDP) category stands at 4.9%, up from 4.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

PeerResearch reports based on IBM Datacap reviews

Type	Title	Date
Category	Intelligent Document Processing (IDP)	Jul 14, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 14, 2025	Download
Comparison	IBM Datacap vs ABBYY Vantage	Jul 14, 2025	Download
Comparison	IBM Datacap vs UiPath Document Understanding	Jul 14, 2025	Download
Comparison	IBM Datacap vs Automation Anywhere	Jul 14, 2025	Download

Title	Rating	Mindshare	Recommending
Automation Anywhere	4.2	3.5%	96%	591 interviews Add to research
ABBYY Vantage	4.0	14.6%	93%	51 interviews Add to research

Valuable Features

IBM Datacap excels in data capture, OCR accuracy, and unstructured data processing. Users appreciate its extensibility, robust automation, and integration with FileNet. It offers a low-code approach and simplified configuration while enabling advanced coding for custom workflows. The platform supports multiple export formats and employs machine learning for efficient database connections. The standardized web-based user interface enhances usability, while innovative features like fingerprint and barcode recognition streamline operations, significantly reducing manual tasks and improving efficiency.

"One valuable feature of IBM Datacap is the OCR capability, along with its ability to read fields from documents."
"The OCR extractions are very good, almost 100% accurate now."
"The OCR extractions are very good, almost 100% accurate now."

Room for Improvement

IBM Datacap faces challenges, including slow OCR speed and cumbersome reporting. Users find its interface and usability difficult, lacking modern features like AI integration. Customization demands expert skills, hindering adaptability. Performance issues arise with large document volumes, and language support needs enhancement. Integration capabilities are limited, and the software's reliance on outdated technology affects its competitiveness. Users consistently request improvements in scanning accuracy, reporting, and workflow capacity to meet industry standards efficiently.

"IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing feature is the ability to merge documents and present data across different UI screens."
"There are times when external features impact services. For example, Windows patching or antivirus updates can affect production-level services."
"When a client's requirement is not available in Datacap, out-of-the-box actions should be simpler to implement and not very complex."

ROI

IBM Datacap provided significant savings in time and money through automation, reducing human errors. Users found it more expensive upfront compared to previous systems but considered cost offset by reduced development efforts and future cloud migration. Though productivity increased, the expectation gap remained. Operating cost reductions were not substantial.

Pricing

IBM Datacap pricing varies based on usage, with options for pay-as-you-go and bulk quantity pricing. Licensing models include User Value Unit and Processor Value Unit, making it potentially expensive compared to competitors like Kofax, which offers page-based pricing. Pricing is considered steep, especially in the Middle East and Asia, though competitive options exist. It can be bundled with IBM's CloudPak for Business Automation, which may affect overall costs. Installation and implementation involve additional expenses.

"This solution is the most expensive in the market."
"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."
"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."

Popular Use Cases

Organizations deploy IBM Datacap primarily for accounts payable automation, digitization, and document processing. It captures invoices, extracts data, and integrates with systems like FileNet. Many industries, including insurance and finance, utilize it for digitizing documents and reducing manual processes. Datacap's OCR capabilities allow for efficient data capture from a variety of document types, supporting automated workflows and reducing error rates while processing. Applications extend from banking forms to government services.

Service and Support

IBM Datacap's customer service and support receive mixed feedback. Some find it knowledgeable and helpful, with quick responses and good accessibility. Others report slow responses, high costs, and language barriers, especially in Europe. Support outsourcing and a lack of local expertise are concerns. Documentation is extensive, but first-line support is seen as an area for improvement. Some rate support highly, yet delays and inadequate responses to critical issues are noted.

Deployment

Users report varied experiences with IBM Datacap's setup. While it's largely straightforward, complexity can arise depending on configuration needs. Expertise often improves efficiency, suggesting partners can be beneficial for newcomers. Some installations complete quickly, but intricate scenarios might extend timelines. Improvements like wizards and accelerators aid the process, yet some rely on IBM's support for easier maintenance. Flexibility to align with business requirements is appreciated, though platform compatibility issues are noted.

Scalability

IBM Datacap is highly scalable, supporting both small and large operations. Enterprises can expand by adding servers to manage increased document volumes. It efficiently scales up for thousands of users, with flexibility for varied departmental demands. Integrating new servers can enhance processing speed, while scalability ratings vary from moderate to high. However, scaling challenges arise without proper setup. Cost considerations exist for upgraded processing power and licensing.

Stability

IBM Datacap's stability varies. Some users find it reliable and scalable, praising its performance and positive updates. In contrast, others report issues with the web interface and software bugs. Datacap requires proper implementation and adherence to best practices to maintain stability. While new versions improve performance, older versions have faced criticisms. Despite some challenges with infrastructure and configurations, many users have experienced strong reliability by following recommended guidelines.

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

Download our IBM Datacap Buyer's Guide for additional reliable information.