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Amazon Textract vs IBM Datacap comparison

 

Comparison Buyer's Guide

Executive Summary

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

Amazon Textract
Ranking in Intelligent Document Processing (IDP)
9th
Average Rating
7.2
Reviews Sentiment
6.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
IBM Datacap
Ranking in Intelligent Document Processing (IDP)
6th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
28
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Amazon Textract is 2.3%, down from 4.4% compared to the previous year. The mindshare of IBM Datacap is 3.1%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
IBM Datacap3.1%
Amazon Textract2.3%
Other94.6%
Intelligent Document Processing (IDP)
 

Featured Reviews

SomdipRoy - PeerSpot reviewer
Solution Architect at Skillnetinc
Have faced limitations due to integration complexity but have processed documents efficiently and reduced manual effort
Bedrock is basically a framework that can manage multiple large language models. Another useful tool is Amazon Textract which extracts text from documents. It helps with compliance because Amazon Textract itself doesn't store anything. When hundreds of documents are uploaded in an S3 bucket, the S3 bucket will store the documents, but Amazon Textract itself doesn't store anything. It pulls the contents of the documents and then passes them on to the next system, making it compliant. It helps in a great way by reducing the load on LLM and reducing the cost.
Bhasker ReddyPIdintla - PeerSpot reviewer
Technical Delivery Head at a tech vendor with 10,001+ employees
Has improved document scanning accuracy with advanced OCR capabilities
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.

Quotes from Members

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

Pros

"Amazon Textract is superior because it has features that allow you to use analytics or intelligent automation with the OCR; it will automatically identify key and value pairs, so you can use the data easily."
"With the help of Amazon Textract, we are reducing labor and manpower because with just one API call, we can get all the extracted information with its coordinates."
"Amazon Textract was easy to use."
"In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock."
"Amazon Textract is superior because it has features that allow you to use analytics or intelligent automation with the OCR; it will automatically identify key and value pairs, so you can use the data easily."
"The support is actually very good; I've worked with Azure and Oracle Cloud Infrastructure, but compared to the others, AWS support is excellent."
"The solution offers many features that are beneficial for customers."
"The second thing that I like about Datacap is the fingerprint capture which is easy to configure on Datacap. From the form of the document, if a document is redundant in the same department, we can configure the capture based on the form of the documents"
"The most valuable feature is its ability to capture data, which changes all the time into different formats."
"The OCR extractions are very good, almost 100% accurate now."
"It's resiliency. There are multiple ways of identifying what you are looking for. There are multiple export formats."
"Very scalable and stable data capture and extraction solution that's very simple to install."
"The standout feature of this intelligent product is its remarkable capability."
"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..."
 

Cons

"Some easy integration with other systems could be improved."
"They should provide an offline solution because in many areas in India and outside, there are clients facing Internet issues."
"Some easy integration with other systems could be improved."
"Sometimes the tabular data does not process properly for complex tabular structures or complex tables."
"The product has not given correct results for me. It was not accurate, especially with handwritten items and documents with pencil marks, which Amazon Textract failed to identify correctly."
"They should provide an offline solution because in many areas in India and outside, there are clients facing Internet issues."
"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."
"I would like to see integration of Watson AI technology into Datacap."
"The interface can be more intuitive."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"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."
"I give the scalability of the solution a six out of ten."
"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."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"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 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."
"IBM could offer more competitive pricing. This would allow them to attain more users. Some of our clients are considering moving to a different solution called Encapture which is similar but offers more competitive pricing."
"Pricing needs to stay competitive."
"This solution is the most expensive in the market."
"Pricing depends on how much we use it. We pay per bulk quantity. We pay as you go. Therefore, it sort of depends on our usage of it."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
35%
Manufacturing Company
10%
Computer Software Company
8%
Insurance Company
5%
Financial Services Firm
18%
Manufacturing Company
11%
Government
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise4
Large Enterprise12
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Textract?
Organizations typically build the CI/CD pipeline. The main application could be hosted anywhere - it could be hosted on a machine, EC2, or it could be containerized. Some organizations do manual de...
What needs improvement with Amazon Textract?
Some easy integration with other systems could be improved.
What is your primary use case for Amazon Textract?
In an organization with an opening for a developer position, the organization receives hundreds of resumes. Instead of manually evaluating those resumes, Amazon Textract can be used to pull the con...
What is your experience regarding pricing and costs for IBM Datacap?
Pricing is in the mid-range but could be more affordable, rated at four point five.
What needs improvement with IBM Datacap?
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 s...
What is your primary use case for IBM Datacap?
I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Specifically, it's used for DocuSign ( /products/docusign-reviews ) as well.
 

Also Known As

No data available
Datacap
 

Overview

 

Sample Customers

Cambia, Change Healthcare, ClearDATA
Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil
Find out what your peers are saying about Amazon Textract vs. IBM Datacap and other solutions. Updated: December 2025.
881,707 professionals have used our research since 2012.