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Amazon Comprehend

byAmazon Web Services (AWS)
in Intelligent Document Processing Solutions
4.6

Overview

Product Information on Amazon Comprehend

Updated 13th October 2025

What is Amazon Comprehend?

Amazon Comprehend is a software that applies natural language processing techniques to analyze text and extract key information such as entities, sentiment, language, and topics. The software enables users to perform automated text classification, entity recognition, and syntax analysis. It assists organizations in understanding customer feedback, improving content categorization, and automating data extraction processes. By leveraging machine learning methods, the software addresses business problems related to large-scale text analysis, enabling efficient information management and operational insights from unstructured data.

Amazon Comprehend Pricing

Amazon Comprehend is a software that utilizes a pay-as-you-go pricing model, where charges are based on the quantity of data processed and the specific features used, such as entity recognition, sentiment analysis, and custom classification. Costs are determined by the number of units analyzed per month, with separate rates for different types of text processing tasks and language support. There are no upfront fees or long-term commitments required to use this software.

Overall experience with Amazon Comprehend

Data And Analytics Manager
500M - 1B USD, Banking
FAVORABLE

“Amazon Comprehend: A scalable, easy-to-adopt NLP service that delivers fast value within AWS, but requires careful cost and customization planning at scale.”

5.0
Jan 8, 2026
Overall, the experience with Amazon Comprehend has been positive, especially in cloud-native and enterprise contexts. It stands out for its ease of use, strong out-of-the-box capabilities, and seamless integration with the AWS ecosystem.
ASSOCIATE PROFESSOR
Gov't/PS/ED 5,000 - 50,000 Employees, Education
CRITICAL

“Document Size Restriction Limits In-Depth Analysis to Only 5,000 Bytes”

3.0
Oct 13, 2025
The main reason for my average overall experience is that a single document analysis is limited to 5,000 bytes. This means that I have to break up larger documents. On the other hand it is good to have more options when it comes to large language models.

About Company

Company Description

Updated 6th March 2025

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Updated 23rd December 2024
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
http://aws.amazon.com

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About Amazon Comprehend
Reviewer Insights for: Amazon Comprehend
Deciding Factors: Amazon Comprehend Vs. Market Average
Performance of Amazon Comprehend Across Market Features

Amazon Comprehend Likes & Dislikes

Like

Easy to use and fast to adopt, fully managed and serverless, strong enterprise-ready features, good out-of-the-box accuracy and optional customization when needed.

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Like

finds and labels data like names, phone numbers

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Like

1. The deployment process is effortless as it provides ready-made NLP services without needing to train the models. 2. It has a deep integration with the AWS ecosystem making its inclusion seamless if your company is already using AWS features. 3. Comprehend allows the user to train custom models based on your company's own data.

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Dislike

Limited customization and model control, costs can scale quickly, inconsistency accuracy in niche domains and languages, batch and asynchronous processing limitations, vendor lock-in within AWS and limited explainability and transparency.

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Dislike

As already mentioned, the limitation to 5000 bytes.

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Dislike

1. It has limited depth and nuance 2. It offers little visibility into how predictions are made, making debugging or improving model performance difficult 3. Without custom training, it struggles with industry-specific language

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Peer Discussions

Amazon Comprehend Reviews and Ratings

4.7

(25 Ratings)

Rating Distribution

5 Star
68%
4 Star
28%
3 Star
4%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.5

Service & Support

4.6

Product Capabilities

4.6

Last 12 Months
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  • Data And Analytics Manager
    50M-1B USD
    Banking
    Review Source

    Amazon Comprehend: A scalable, easy-to-adopt NLP service that delivers fast value within AWS, but requires careful cost and customization planning at scale.

    5.0
    Jan 8, 2026
    Overall, the experience with Amazon Comprehend has been positive, especially in cloud-native and enterprise contexts. It stands out for its ease of use, strong out-of-the-box capabilities, and seamless integration with the AWS ecosystem.
  • DATA AND ANALYTICS MANAGER
    50M-1B USD
    Software
    Review Source

    Comprehend Delivers Ready-Made NLP but Struggles With Complex Industry Data

    4.0
    Nov 28, 2025
    Comprehend delivers dependable, usable NLP features like entity extraction and sentiment analysis with minimal setup. However, it struggles with deeper language nuances and industry-specific understanding (like Insurance), making it less effective for complex tasks.
  • DATA ANALYST
    50M-1B USD
    Banking
    Review Source

    AWS Comprehend Offers Useful Tools Despite Complex Datamodeling for Some

    5.0
    Dec 10, 2025
    I was an AWS Comprehend user when I was a program manager at AWS. It was a good product even at an early stage with really cool features. I just always struggle with how complex the data model at AWS seems to be for end users.
  • SENIOR DATA ENGINEER
    50M-1B USD
    Software
    Review Source

    Accurate Pii Data Identification Offset by Limited Documentation Availability

    5.0
    Nov 5, 2025
    I have used this product when I was exploring to mask Pii data. it does a pretty good job in detecting Pii data
  • DATA AND ANALYTICS - SR. ANALYST
    1B-10B USD
    Consumer Goods
    Review Source

    Integration with AWS Services Supports Enterprise-Scale Analytics and Automation Workflows

    4.0
    Nov 4, 2025
    It's a powerful Natural Language Processing service that enables us to extract insight, detect sentiments and identify entities from large volumes of unstructured text. Its integration with other AWS Integration services such as Redshift makes it a natural fit for enterprise-scale data analytics workflows.
Showing Result 1-5 of 33

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