IBM Datacap Reviews

Vendor: IBM

3.8 out of 5

26 reviews
88% willing to recommend

363 followers

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. Based on the analysis of the 26 most recent IBM Datacap reviews, the overall sentiment is positive, with a sentiment score of 6.8. (Among the lowest in the category). IBM Datacap is most commonly compared to ABBYY Vantage: IBM Datacap vs ABBYY Vantage. IBM Datacap is popular among the large enterprise segment, accounting for 64% 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.

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Featured reviews

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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Joao Benevides

ECM at PDM FC

I've faced some bugs or issues. They should do deeper testing of the product before releasing it because some of the bugs that I found were a bit simple. I understand that it is a massive product, and some of the functionalities can get overlooked. Their platform for reporting bugs and issues works. Sometimes, it takes them too long to solve the issue, but eventually, they do. So far, every issue that I've found in reporting has been resolved, but their support can be improved in terms of resolving the issues faster. In terms of additional features, I've been following the roadmap they have, and so far, it has been good.

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Abderrahmane Moumile

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

At the forefront of my thoughts, 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 November 2024, the mindshare of IBM Datacap in the Intelligent Document Processing (IDP) category stands at 4.3%, down from 5.1% 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

IBM Datacap is valued for its adaptability in capturing and recognizing data from various formats, enhancing efficiency by reducing manual data entry and human errors. It integrates seamlessly with systems like FileNet, offers resilient and customizable features, and provides low-code development options. Users highlight its automation capabilities, user-friendly web interface, and advanced scanning and recognition technologies, including fingerprint and QR code recognition, making it highly scalable and reliable with machine learning integration.

"The installation of the solution is very simple."
"At the forefront of my thoughts, 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."
"The standout feature of this intelligent product is its remarkable capability."

Room for Improvement

IBM Datacap requires improvements in OCR speed, user interface intuitiveness, and report and analytics capabilities. Integration with Watson AI and cloud-based OCR could enhance functionality. Users report challenges with customization, parallel processing limitations, and language support, particularly for Arabic. Bugs, support response times, and workflow capacity need addressing. Transitioning to newer technologies like .NET Core and improving document processing efficiency are crucial for maintaining competitiveness.

"The reading efficiency of the solution needs to be improved."
"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation. Expertise in this specific product is rare throughout the market. One key reason is the product's limited downloads. Additionally, archiving solutions are often perceived as complex and challenging, dissuading many companies from venturing into this domain. Consequently, partners who specialize in archiving solutions are always seeking straightforward, uncomplicated options that are easy to manage and meet customer expectations."
"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation."

ROI

IBM Datacap provides an automated workflow that saves time and costs by reducing manual efforts. Users noted that while it improves productivity and error rates, it might not meet all initial expectations in cost-effectiveness. They appreciated reduced development efforts with specific plugins and foresee cost benefits with planned cloud migration. Despite higher initial licensing costs, businesses found value in automation and future savings, along with increasing job roles for managing automated systems efficiently.

Pricing

IBM Datacap pricing varies significantly depending on usage, licensing model, and geographical location. Commonly considered expensive, especially compared to competitors like Kofax, costs can be linked to user or processor value units. Options include subscription, outright purchase, or as part of IBM Cloud Pak for Business Automation. Prices are notably high in Asian and Middle Eastern markets, with additional fees for installation and Arabic OCR inefficiencies. Many favor bundled packages for potential cost savings.

"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

IBM Datacap is primarily used for automating accounts payable and digitizing documents. Organizations utilize it for capturing and extracting data from various document types such as invoices, forms, and insurance filings. It enables auto-classification, boundary detection, and integration with workflows, improving efficiency and reducing manual processes. Datacap processes both physical and digital documents and supports various industries, including finance, insurance, and government sectors, offering versatile applications across different domains.

Service and Support

IBM Datacap's customer service and support receive mixed feedback. Some support teams are knowledgeable and responsive, while others are slow and lack efficiency. Users appreciate direct access and relationships but face issues with outsourcing and language barriers. Experience ranges from helpful interactions to prolonged problem-solving and inadequate responses. Ratings vary, highlighting the inconsistency in service quality. Some users benefit from an effective IBM support agreement, while others encounter delays and difficulty in escalation.

Deployment

IBM Datacap's initial setup varies in complexity. While straightforward for some, others find it intricate, especially with custom deployments. Average setup time ranges from one to six months, dependent on business requirements. Expertise in deployment improves ease and efficiency. Some users praise IBM's support and configuration tools, while others suggest partnering with experienced teams for optimal results. The software primarily supports Windows and relies on .Net technologies, limiting platform compatibility.

Scalability

IBM Datacap is highly scalable, supporting extensive document processing and large multi-user environments. Enterprises benefit from its ability to integrate additional servers and hardware for increased capacity. Some feedback indicates potential improvements in handling simultaneous document loads. While easy scalability is highlighted, licensing and costs should be considered when expanding resources. Users appreciate the platform's adaptability, allowing diverse applications from accounts payable to HR. Datacap's scalability ratings vary, but users appreciate its capacity and flexibility.

Stability

Stability of IBM Datacap varies among users. Some find it reliable and scalable, while others encounter issues with the latest releases. Web interface instability is a concern, although some users report stability improvements in version 9.1.7. Performance depends on proper implementation and infrastructure. Users note occasional bugs, requiring support to address them. Frequent updates help maintain stability, yet feedback indicates mixed experiences, with infrastructure and configuration playing significant roles.

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.