ABBYY Vantage vs IBM Datacap comparison

ABBYY and IBM are both solutions in the Intelligent Document Processing (IDP) category. ABBYY is ranked #1 with an average rating of 8.4, while IBM is ranked #8 with an average rating of 8.0. Additionally, 92% of ABBYY users are willing to recommend the solution, compared to 88% of IBM users who would recommend it.

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Executive SummaryUpdated on Oct 10, 2024

IBM Datacap and ABBYY Vantage are two prominent solutions competing in the document capture and processing category. IBM Datacap seems to have the upper hand in user integration and ecosystem consistency, while ABBYY Vantage excels in flexibility and machine learning capabilities.

Features: IBM Datacap provides a robust document capture solution with its extensibility, ability to export multiple formats, and excellent scalability for unstructured data. It offers cloud readiness and consistent performance to reduce human error. ABBYY Vantage is equipped with potent machine learning elements and is recognized for its effective document extraction and data validation, making it flexible for varied use cases.

Room for Improvement: IBM Datacap needs enhancements in OCR speed and infrastructure demands for large volumes. Users face challenges with exception processing interfaces and language support, such as Arabic. ABBYY Vantage has complexities in user training and model training limitations for document accuracy. Both platforms could benefit from better automation and cloud features, with ABBYY Vantage requiring improvements in language support and reporting.

Ease of Deployment and Customer Service: IBM Datacap's on-premises deployment creates complications for those preferring cloud solutions, and its technical support has room for improvement despite good relationship-building. ABBYY Vantage offers flexible deployment options, including cloud, but faces challenges with downsized support teams, impacting customer satisfaction. ABBYY's adaptability through public and hybrid clouds is an advantage.

Pricing and ROI: IBM Datacap's pricing model is expensive, employing diverse expensive user and processor-based licenses. While costly, its integration within the IBM portfolio can justify the pricing to an extent. ABBYY Vantage uses a per-page pricing model, potentially increasing costs for large-scale projects. Despite being more competitive in certain scenarios, its high per-page cost and minimum volume requirements pose barriers for smaller applications. Both solutions offer ROI in productivity gains, varying across user expectations.

To learn more, read our detailed ABBYY Vantage vs. IBM Datacap Report (Updated: April 2025).

Buyer's Guide

ABBYY Vantage vs. IBM Datacap

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Automate

Featured Reviews

Anabel Marco

Account Director at a tech services company with 11-50 employees

Automates processes efficiently with cost-effective scaling and robust customer support

Web scraping is quite good since it offers a lot of possibilities. Another important feature for me is its compatibility with MBI, the Power that is ISEQUADO Centers. I appreciate the ability to scale and increase the number of bots or studios without additional expense. Automate's non-reliance on additional orchestrators makes it quite cost-effective.

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Lucas Ivantes

Solutions Architect at Pipefy

Easy to use, flexible to deploy, and trains different documents easily

We resell the product. We are partners. We do not have internal uses of the product. I do not contact support. I contact a representative usually. He escalates our calls to support. I am part of the initial deployment team. The accuracy of the results produced by the solution's AI document processing is okay. It's good that it supports multi-page documents and tables. It's good that the product also has machine learning. We can enable it, and it will improve over time. Machine learning is one of the main things we use. We can train a small batch of documents from Brazil, and it can improve over time without needing to train a lot of documents. Our customers are spread out. We have tried Portuguese, Spanish, Hindi, Chinese, French, and Italian documents. We had a good experience with the languages we tried. We have used the AI extraction models mostly for invoices. The main thing is to get the process up and running quickly. On the commercial front, there are many tables. We can quickly add a document in development and build a scenario for a demo. The implementation is very quick. We have five different customers in a matter of months. Using ABBYY has helped us reduce manual data entry and free up staff for other tasks. Sometimes, the customer already has an ERP that does the extraction. We are just doing it upfront. The percentage of documents that go straight through processing has improved over time as the models get more advanced. It is the main metric we look at. ABBYY provides "straight-through" processing, in which content is automatically extracted and delivered without manual processing. The quality is good. We set the rules. If it goes through, it means that none of the rules were broken. The main problem is to get the percentage high. We apply manual reviews, too. A percentage of the requests with an error in some rules go through a manual review. We haven't had any solutions in production before. We have had backend solutions, but they were not IDP and were not comparable with ABBYY Vantage. Customers see an advantage in them. It is an extra cost. The price is justified by the ease of implementation of training different documents. If we just need one document or invoice, other products may be more cost-effective. The main thing for me is to enable the users to do the manual reviews and improve the results themselves without needing to train or do a big batch of training with the team. The sooner we can get people trained in the process, the faster we will get the results. The newer tools coming up have more natural language, AI, and large language models. ABBYY is one of the best tools I used. Overall, I rate the solution an 8 out of 10.

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DeekshithShetty

Software Development Senior Specialist at NTT Data

High-accuracy document processing with easy integration and good image enhancement

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"A great feature that you seldom see in these kind of systems is the ability to use a database as trigger to launch a task. This is something I asked for a few years ago and that was added."

"It's very easy to use. That's a big selling point for it. It has got a drag-and-drop interface, so you can quickly deploy bots."

"This product is quite easy to install, learn, and use, with our new employees being able to start using it in projects for clients after only two weeks of internal training."

"We are still in the process of rolling it to production and tweaking it (our AD groups are a mess), but the improvements are priceless. Having users ID's created the same way every time without human error is the best part. We don't need to worry about why groups were not added, user rights not set to folders or missing a private folder being created, typos or just even knowing when things are done and logged."

"Overall, the whole product is really nice and provides significant benefits."

"The most valuable features for my client are timing and scheduling."

"The interface is simple, user-friendly, and very intuitive."

"The most valuable features of Fortra's Automate include its FTP functionality and file manipulation capabilities."

More Automate pros

"The most valuable feature is the ability to scale for big processes. We are able to process 1 million pages a day. Its accuracy is also very nice. It is a good feature that they have. It is an independent platform, which is its biggest advantage as compared to other solutions. It is also very stable and powerful. It is 100% on time."

"The OTR (Optical Text Recognition) is the most valuable feature of this solution."

"The advantage for ABBYY Vantage is in the visual tools to parameterize and set documents."

"I like that it has the capability of processing a high volume of documents with great accuracy."

"ABBYY stands out for its collaborative approach."

"The document preset creation feature in ABBYY Vantage has been very effective for data extraction."

"While using ABBYY FlexiCapture we did not use the generic models that they do have for invoice and purchase orders. For one of the use-cases, the document was exactly the purchase order, but we are not using that generic model. We are creating the model from Scratch. However, if I was to compare ABBYY FlexiCapture with other IA tools, the machine learning and how the extraction is done is far better than competitors. This allows a lot less effort for the development."

"ABBYY Vantage is user-friendly...The deployment process can be done in a few minutes."

More ABBYY Vantage pros

"The feedback from our clients that this solution has increased their efficiency and their turnaround time on opening any account for end users, thus attracting more customers."

"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."

"The administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."

"I like Datacap's integration with FileNet because financial companies use that export. The second part is web services integration, which is effortless to implement."

"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."

"The OCR extractions are very good, almost 100% accurate now."

"The big thing these days is really the Insight Edition component and being able to build annotators to extract from literally unstructured content: paragraphs and information where there's no start anchor point to define where that data is located. There could be a number of entities in that which you have to draw information from. Being able to extract from them is really the differentiator today between that product and many of the other products..."

"The most valuable feature is its ability to capture data, which changes all the time into different formats."

More IBM Datacap pros

Cons

"The interface could be more user-friendly and easier to navigate."

"There is room for improvement regarding cloud functionality; there are a few missing features, and the logging could be better, especially air logging. We can go into logging events and create our own task, but it would be nice if this were more detailed."

"I currently have three bugs open with them that I don't know if they are addressed in the new release."

"The solution has a very weak knowledge base."

"I would like to see some better web automation, a wizard like the one in the product WinAutomation would be very nice."

"The documentation is not that great."

"I would like the updates to be easier to deploy. Integration with Amazon S3 is somewhat lacking."

"The documentation for errors needs improvement as many of the error messages we receive are very vague."

More Automate cons

"Not a ten because sometimes some documents have handwritten data. If this improved, I would rate it a ten out of ten."

"The system does not always train itself to recognize data properly."

"I think that technical support should help instead of developing a solution from scratch every time you reach out to them."

"The price for trainings or certifications are on the very, very high side."

"They should improve the RESTful API side of this solution. Currently, fully RESTful API is not available in the on-prem version, which is really a problem, and we have to work around this limitation. The cloud version already has a fully RESTful API, but the on-prem version doesn't have a fully RESTful API, which is a big mistake. It is easy to solve, but they aren't solving it quicker. They are taking a long time. Nowadays, most people don't go to the interface. They like to use RESTful API."

"I would like better language support for Hebrew and Arabic. They're still working on that, and we might get an update by the end of this year. There is currently no support for those two languages because they write from the right to the left side. It would be great if they could add this as soon as possible because we have customers from the Middle East and Israel."

"Programming interfaces should include intelligence or documentation."

"The accuracy changes depending on the scenario so you need to test it before committing to this solution."

More ABBYY Vantage cons

"The user interfaces for exception processing can be tweaked. I commonly find that we try to tweak and customize some of those components to more of what the industry standard is. The product is still trying to play catch-up a little bit in those areas."

"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."

"Recognition between certain numbers and letters could be improved. Sometimes this solution misreads five with an "S" for Singapore."

"Currently, when you are entering invoices, you have to enter multiple rows. In Captiva the multiple rows will be dynamically added. This would be a beneficial feature for IBM to add."

"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."

"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."

"The interface can be more intuitive."

"The technical support is horrible. They have downsized the support teams too much. They've outsourced some of them along with some of the development, and they're just stretched too thin."

More IBM Datacap cons

Pricing and Cost Advice

"I believe the price falls within a reasonable range, which significantly influenced our decision regarding the product. This aspect is crucial for any technological solution, especially in our country where enterprises might be hesitant to invest heavily in something untested or uncertain about its practicality and potential returns."

"From a distributor's side, one of the biggest selling points is its price point. Without going into any numbers, compared to UiPath, Automation Anywhere, and Blue Prism, we're significantly cheaper. The main difference is that other competitors usually charge you per process. However, in Automate's case, it's priced per bot. So, a bot can run multiple processes at the same time, but you are only priced for a single bot."

"Compared to other products, the pricing model for this solution is much more convenient, flexible, and adaptable to the Portuguese reality."

"Once you buy the software, you just pay for the support for backend help."

"The pricing is quite reasonable. We can run the process with one bot. The limitation is at the server level because they have some resources, and sometimes that is enough. It isn't too expensive, so you can get a good return off of one, and you can also have a pack of five bots that is quite competitive."

"From a distributor's perspective, one of the biggest selling points of Automate is its price point."

"It comes with a package that costs approximately $20,000 USD per year."

"While solutions like UiPath and Blue Prism cost around $11,000-$12,000 for each license, this product costs around $7,000 and you can keep it forever."

More Automate pricing and cost advice

"You need to purchase user licenses, and you also need to purchase the license for the pages. User licenses are required for your developers to use the developer tools, and you also need to ensure that there is a pool of licenses for the business users so that they can log in and perform their activities."

"It is expensive as compared to UiPath. We pay for the licensing and the page count."

"The licenses for this solution are payable on a yearly basis, and are transferable from one year to the next, if they go unused. The license payment also includes a number of support hours from the vendor."

"The price of this ABBYY FlexiCapture is a bit expensive and the price is based on how many documents have been captured. For example, one or two million captures."

"ABBYY Vantage is a bit of an expensive tool."

"I'd give ABBYY Vantage's pricing a rating of seven out of ten."

"Our license is $6,000 and includes unlimited users for the verification station."

"It costs 5,000 Euro per year for one license. There are almost 500,000 pages available, so I think the price is good for what we have. It's worth the money."

More ABBYY Vantage pricing and cost advice

"In Egypt, we have exchange rates that change year to year, and currently, we're facing an increase in the exchange rate between our Egyptian pound and the dollar. Since we have been using IBM DataCap two years ago we had a good price, it was not expensive. However, I cannot say now if it is expensive or not because of the exchange rate. Additionally, I don't have the data of other competitors and I don't know the prices."

"You save a lot of time and money, but the benefit is you have people who are able to run the systems, check to see if there are any errors at all, and there are a lot less errors than a human system."

"This solution is the most expensive in the market."

"We were using the User Value Unit licensing, which means we get charged per active user of the system, and if I'm not mistaken, we also had it for the rule runner service. They had a PVU license model, which is a processor value unit. For each process that we have in our system, we pay a certain amount of money. We found the pricing to be quite steep. It was really an expensive solution in comparison to Kofax, which had a different licensing model and was actually cheaper overall because they charge per page and not per user and per process."

"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."

"If you want IBM Datacap on cloud, which is a service run by IBM, the price can be quite expensive, but if you want to just purchase the licenses and own those yourself, then the price is very competitive."

"It is an expensive solution."

More IBM Datacap pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Computer Software Company

15%

Financial Services Firm

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Government

14%

Computer Software Company

13%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about HelpSystems AutoMate?

We use it for specific cases, mainly secure file transfers, which are vital for us. And it works for us.

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What is your primary use case for HelpSystems AutoMate?

I am a consultant and I am making a lot of processes in human resources, payroll, certifications, trainings, web scra...

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What is your experience regarding pricing and costs for Fortra Automate?

The pricing is quite good compared to its competitors. Competitors are often more expensive than Automate. I would ra...

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What do you like most about ABBYY Vantage?

Vantage is flexible and customizable. It's a low-code/no-code tool, so you don't need to get into detailed coding. Yo...

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What is your experience regarding pricing and costs for ABBYY Vantage?

I would say the pricing is in the middle. It's neither high nor low.

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What needs improvement with ABBYY Vantage?

Based on our use cases, handwritten recognition for Arabic is not supported. If they are able to add handwritten capa...

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What do you like most about IBM Datacap?

The installation of the solution is very simple.

See all answers

What is your experience regarding pricing and costs for IBM Datacap?

This solution is the most expensive in the market.

See all answers

What needs improvement with IBM Datacap?

When a client's requirement is not available in Datacap, out-of-the-box actions should be simpler to implement and no...

See all answers

Comparisons

Microsoft Power Automate vs Automate

Compared 38% of the time

UiPath Platform vs Automate

Compared 35% of the time

Automation Anywhere vs Automate

Compared 8% of the time

Blue Prism vs Automate

Compared 8% of the time

VisualCron vs Automate

Compared 7% of the time

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UiPath Document Understanding vs ABBYY Vantage

Compared 15% of the time

Microsoft Power Automate vs ABBYY Vantage

Compared 13% of the time

HyperScience vs ABBYY Vantage

Compared 12% of the time

Tungsten TotalAgility vs ABBYY Vantage

Compared 10% of the time

Hyland Brainware vs ABBYY Vantage

Compared 3% of the time

More ABBYY Vantage Competitors

Amazon Textract vs IBM Datacap

Compared 19% of the time

Microsoft Power Automate vs IBM Datacap

Compared 16% of the time

Tungsten TotalAgility vs IBM Datacap

Compared 12% of the time

OpenText Intelligent Capture vs IBM Datacap

Compared 8% of the time

HyperScience vs IBM Datacap

Compared 7% of the time

More IBM Datacap Competitors

Product Reports

Buyer's Guide

Automate

May 2025

Download Automate product report

Buyer's Guide

ABBYY Vantage

April 2025

Download ABBYY Vantage product report

Buyer's Guide

IBM Datacap

April 2025

Download IBM Datacap product report

Also Known As

HelpSystems Automate, Automate

ABBYY FlexiCapture

Datacap

Overview

Automate offers a user-friendly solution with a drag-and-drop interface for efficient task automation and integration with major platforms like SAP and Azure, making it ideal for quick deployment with minimal coding and training.

Automate provides powerful features for businesses seeking efficient automation, offering compatibility with databases, email integration, and cloud platforms. Its simple interface supports both beginners and experienced users, simplifying tasks like invoice processing, HR automation, and data transformation. Cost-effective pricing and flexible licensing enhance its appeal while integration capabilities and scheduling tools ensure smooth workflow automation.

What are Automate's Key Features?

Drag-and-Drop Interface: Simplifies automation with intuitive design.
Integration Capabilities: Connects with platforms like SAP and Azure for seamless data flow.
Database and FTP Triggers: Enhances automation potential through direct data interaction.
Efficient Scheduling: Automates tasks with precise timing and control.
Web Scraping: Automates data extraction for quick analysis and reporting.

What Benefits and ROI Should Users Expect?

Rapid Deployment: Minimizes coding efforts for quick implementation.
Cost-Effectiveness: Offers flexible pricing models to suit budget constraints.
Operational Efficiency: Reduces manual workloads and enhances productivity.
Comprehensive Integration: Facilitates improved data management across systems.
Scalability: Adapts to growing business needs with ease.

In industries such as healthcare, banking, and logistics, Automate is used for tasks like invoice payment automation, data transformation, and task automation. This leads to streamlined processes and reduced manual workload, illustrating its value in enhancing operational efficiency through diversified workflows.

Fortra

ABBYY Vantage is an industry-leading low-code Intelligent Document Processing (IDP) platform that uses state-of-the-art AI and machine learning to automate document-centric business processes.

Businesses use Vantage to efficiently and reliably automate the manual, error-prone tasks of capturing and extracting data from documents, so they can immediately deliver accurate, process-ready content into their business systems—RPA, BPM, ERP, etc., and improve decision-making and insights. Pre-trained AI extraction models help organizations get a head start in efficiently automating document processing across various use cases and departments with 90% accuracy right from the get-go. Additionally, ABBYY's best-in-class OCR technology enables organizations to securely integrate large language models (LLMs) and generative AI through Retrieval-augmented Generation (RAG).

By utilizing ABBYY IDP organizations achieve significant efficiency gains, cost reduction and operational excellence.

Schedule your Vantage demo today

ABBYY Vantage Capabilities

Start today, with any document - Process documents of any kind—structured, semi-structured, or unstructured, and all types of data, including handwriting, barcodes, and check boxes.
Ingest documents from any source - Easily send documents from email, mobile devices, correspondence, or file repositories to Vantage for processing.
Access pre-trained models for 150+ use cases - Fast track automation with pre-trained AI models. Visit the ABBYY Marketplace to explore available models – e.g. invoices, purchase orders, W-2 forms, utility bills and many more.
Design and train extraction models - Low-code skill designer allows citizen developers to design, train, and publish AI models for any document type.
Integrate with any intelligent automation system - Out-of-the-box integration with Microsoft Power Automate, SharePoint, Blue Prism, UiPath, Automation Anywhere, and others.
Achieve 100% accuracy with HITL verification - Include manual verification in your process flow to handle exceptions and provide input to further optimize the extraction models.
Improve accuracy with continuous learning - Vantage models become more accurate over time with new document variations and human-in-the-loop review.
Monitor and analyze document processes - Track performance of deployed skills to continuously improve straight-through processing rates.

How does ABBYY Intelligent Document Processing work?

Ingest any document – structured, semi-structured and unstructured.
Vantage will automatically classify documents and assign a pre-trained AI model.
The assigned AI model will detect and extract information from the processed documents, normalize and validate the data so that it is ready to be passed on to downstream business systems.

Main use cases

Data extraction from structured, semi-structured and unstructured documents, incl. machine-readable text and handwriting. Supported document types through pre-trained AI models include insurance claims, contracts, pay slips, identity documents, invoices, purchase orders, bills of lading, delivery notes, packing lists, tax forms (1040, W-2, 1099 etc.) and more. Custom models can be trained through a low-code skill designer.
Data optimization for Generative AI through RAG. Vantage converts business documents into structured JSON files for easy integration with RAG and LLM systems like LangChain and facilitating your seamless transition to Al-driven technologies.
Conversion of SharePoint repositories into searchable, indexable text. ABBYY's AI-based OCR technology accurately converts document archives into fully searchable text for further processing.

Business processes that can be automated with ABBYY IDP

You can use Vantage to digitize, automate, and process almost any type of document. It can be especially effective for a number of use cases, including:

Customer onboarding and due diligence, including Know Your Customer (KYC).
Shipping and logistics. Automatically processing complex shipping instructions, bills of lading, freight forwarding orders, and customs clearance documentation.
Insurance claim processing. Eliminating human error and expediting the process of insurance claims.
Loan processing. Processing the “proof of” and other documents associated with loan origination.
Accounts payable automation. Expedite invoice processing, reduce manual errors and increase efficiency.

Some examples of documents ABBYY can process include:

Utility bills: Extracts the supplier’s name, statement date, customer name, and address.
Personal earning statement: ABBYY Vantage can extract data from pay stubs and help you verify an individual’s earnings and employment status.
Tax forms: Captures the data from 1040, w-2, 1099 etc. IRS forms for tax processing purposes. Includes name, amounts, filing status, and other details.
Identity documents: Extracts information from 10,000 different identity documents from 248 different regions.
Remittance: It can capture headers, footers, and in-line details from payment documents.
Arrival notice: Captures data from shipping documents, including the consignee, shipper, parties, carriers, and other relevant details.

Visit the ABBYY Marketplace to explore all available pre-trained models from ABBYY and the ABBYY partner network.

ABBYY Vantage Benefits

Optimized AI algorithms for best results at each step of the IDP process - trained neural networks, advanced machine learning, transformers and language models, natural language processing deliver consistent, reliable and accurate results.
Containerized micro-services, based on Kubernetes.
Seamless integration into any third-party system and process (BPM, RPA, ERP, etc.) through pre-built connectors or simple REST API.
Easily consumable, pre-trained document skills (AI models) fine-tuned for your industry and use case.

ABBYY

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.

IBM

Sample Customers

Aldergrove Financial Group, Preferred Health Professionals, Mindbeam Technologies, First Credit Union in British Columbia, Vestcom International, Prime Liberty Benefits, University of Tampa, CNLBancshares, World Precision Instruments, BJ's Restaurants, Globe Pequot Press, Accudata Technologies, Norton Healthcare, Pacific Toxicology Laboratories

NHS, Carlsberg, DHL, Societe Generale, Citi bank, Deloitte, 3M, Volkswagen, Adidas, PwC Browse through our customer stories.

Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil

Buyer's Guide

ABBYY Vantage vs. IBM Datacap

April 2025

Free Report: ABBYY Vantage vs. IBM Datacap

Find out what your peers are saying about ABBYY Vantage vs. IBM Datacap and other solutions. Updated: April 2025.

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