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Amazon Textract vs BloomReach 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
Average Rating
6.6
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Intelligent Document Processing (IDP) (11th)
BloomReach
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Marketing Automation (14th), Digital Experience Platforms (DXP) (12th), Personalization Engines (10th)
 

Mindshare comparison

Amazon Textract and BloomReach aren’t in the same category and serve different purposes. Amazon Textract is designed for Intelligent Document Processing (IDP) and holds a mindshare of 4.4%, up 2.7% compared to last year.
BloomReach, on the other hand, focuses on Digital Experience Platforms (DXP), holds 3.6% mindshare, up 3.6% since last year.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
Amazon Textract4.4%
ABBYY Vantage12.4%
UiPath Document Understanding11.0%
Other72.2%
Intelligent Document Processing (IDP)
Digital Experience Platforms (DXP) Market Share Distribution
ProductMarket Share (%)
BloomReach3.6%
Adobe Experience Manager17.7%
Liferay Digital Experience Platform12.6%
Other66.1%
Digital Experience Platforms (DXP)
 

Featured Reviews

Anuj Pratap Singh - PeerSpot reviewer
Achieve efficient automation in document processing with advanced data extraction features
When discussing Amazon Textract, the handwritten OCR quality is good. I'm working with multiple OCR solutions for handwritten data, and Amazon Textract is much better than other solutions. 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. For instance, if a PDF mentions a name, Amazon Textract can identify the key and value, translating that data automatically. Implementing Amazon Textract decreases manual effort in document processing tasks. For example, if any data entry is done by one employee, using the OCR will automatically decrease the man-hours required. Amazon Textract helps in compliance and auditing efforts because if I have a 100-page report that needs summarizing, I first need to extract data from it and input it into Excel. This data copy-pasting can be a challenging task for a human, but OCR simplifies it, enabling calculations to be implemented much faster and more efficiently.
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Top Industries

By visitors reading reviews
Financial Services Firm
38%
Computer Software Company
8%
Government
6%
Manufacturing Company
6%
Financial Services Firm
12%
Manufacturing Company
9%
Healthcare Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Textract?
I did not think about the cost that much because we have to fulfill the customer's requirement. Whatever they demand, we do not think about cost at first. Whatever the cost involved, we will pay fo...
What needs improvement with Amazon Textract?
The main benefit of using Amazon Textract needs improvement, specifically when we extract the tabular data, it is very complicated to get its coordinate functions. We get the coordinates for child ...
What is your primary use case for Amazon Textract?
There was a use case for the healthcare domain where we have to process dental claims and EOB documents. For that document, we have to extract the information in the structured tabular format as we...
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Also Known As

No data available
Exponea
 

Overview

 

Sample Customers

Cambia, Change Healthcare, ClearDATA
Neiman Marcus, Nordstrom, Staples, Wayfair, Toys R Us
Find out what your peers are saying about ABBYY, UiPath, Automation Anywhere and others in Intelligent Document Processing (IDP). Updated: September 2025.
868,706 professionals have used our research since 2012.