Amazon Comprehend
Extracts insights from text with sentiment analysis, PII redaction.
Key Takeaways
- What it is
- Extracts insights from text with sentiment analysis, PII redaction.
- Pricing
- Freemium
- Best for
- Intelligent Document Processing
- Sentiment Analysis
- PII Redaction
- Rating
- 4.5/5
What is Amazon Comprehend?
Amazon Comprehend is a cutting-edge natural language processing (NLP) service offered by Amazon Web Services (AWS) that revolutionizes the way businesses extract and analyze valuable insights from text data. Designed for professionals and organizations seeking to simplify document processing, Amazon Comprehend offers a suite of features that enable users to derive meaning from unstructured text. Whether you're handling customer support tickets, product reviews, emails, or social media feeds, this tool helps you unlock actionable insights with ease.
Amazon Comprehend stands out with its ability to derive actionable insights from unstructured text, a game-changer for businesses looking to harness the power of data-driven decisions. Its capability to train custom models without the need for deep machine learning expertise sets it apart, making advanced NLP accessible to a wider range of users.
Amazon Comprehend offers a robust solution for businesses and professionals looking to transform textual data into actionable insights with minimal effort. Its user-friendly interface and powerful NLP capabilities make it an invaluable tool for anyone seeking to streamline document processing, enhance customer interactions, and protect sensitive information. Whether you're in e-commerce, finance, legal, or any other industry, Amazon Comprehend provides the tools you need to stay ahead in a data-driven world.
Who is Using Amazon Comprehend?
E-commerce Businesses
Utilizing the tool to analyze customer feedback and improve product offerings.
Financial Institutions
Employing the tool to process and classify financial documents such as insurance claims.
Legal Firms
Leveraging the tool to automate the extraction of insights from legal briefs and contracts.
Customer Support Centers
Using the tool to detect sentiment and categorize inbound support requests.
Uncommon Use Cases
Utilized by educational institutions for sentiment analysis in research projects; adopted by marketing agencies to refine client communications.
Key Features
Rating Breakdown
Pricing Plans
Free Tier
Free
- Experience Amazon Comprehend with a 12-month free trial
- Offering 50,000 units of text analysis each month
Pay-As-You-Go
- Charges based on the number of units processed
- Specific rates for each feature such as entity recognition and sentiment analysis
Which Amazon Comprehend plan should you pick?
Start with the Free Tier for evaluation and light usage, then move to standard pay-as-you-go pricing as volume or custom-model requirements grow.
Free Tier
Good for evaluating supported NLP APIs with up to 50,000 text units per API per month during the first 12 months.
Amazon Comprehend Use Cases
Voice of customer analytics
Analyze customer feedback from support calls, emails, social media, and other online channels.
Outcome: Understand customer sentiment and recurring themes.
Semantic search
Extract key phrases, entities, and sentiment to improve search indexing and filtering.
Outcome: Provide more relevant search experiences.
Document classification
Train a custom classifier to assign documents to categories defined by the organization.
Outcome: Route or organize documents automatically.
PII detection and redaction
Detect personally identifiable information in documents and create redacted versions.
Outcome: Reduce exposure of sensitive personal data.
Custom entity recognition
Train a recognizer to identify domain-specific entities such as claim numbers or policy numbers.
Outcome: Extract business-specific information from documents.
Workflow Ideas with Amazon Comprehend
Analyze documents stored in Amazon S3
- 1Store documents in an Amazon S3 bucket
- 2Start an Amazon Comprehend analysis job using the console or API
- 3Retrieve the analysis results from the output S3 location
Extract text from images and analyze it
- 1Provide image or scanned-PDF documents to Amazon Comprehend
- 2Use Amazon Textract-based extraction to obtain document text
- 3Run sentiment, entity, classification, or custom recognition analysis
Automate sentiment analysis with Step Functions
- 1Create a Step Functions state machine
- 2Add an Amazon Comprehend sentiment-analysis task
- 3Connect the result to subsequent workflow states
How Amazon Comprehend fits into your stack
Browser
Amazon Comprehend is operated through the AWS Management Console, where users create and manage analysis jobs.
Automation and APIs
Teams integrate Comprehend into applications and automated pipelines through APIs, SDKs, the AWS CLI, and asynchronous jobs.
Knowledge and files
Comprehend analyzes document collections stored in Amazon S3, including text, PDF, Word, and image inputs, and writes results back to S3.
Pros
- +Time Efficiency: Automates the extraction and analysis of text data, significantly reducing manual processing time.
- +Comprehensive Insights: Provides deep insights by analyzing sentiment, entities, and key phrases, offering a more nuanced understanding of the text.
- +No ML Experience Required: Allows users to train models for specific tasks without prior machine learning knowledge, making it accessible to a broader audience.
- +Data Security: Enhances document security by redacting sensitive information, ensuring compliance with data protection regulations.
Cons
- −Initial Learning Curve: Users may require some time to fully familiarize themselves with the tool's advanced features.
- −Integration Complexity: Integrating Amazon Comprehend with existing systems may require technical expertise.
Limitations & when to consider alternatives
Known limitations
- Free tier duration. The free tier is available for 12 months beginning with the first Amazon Comprehend request.
- Minimum billable request size. Many NLP requests are measured in 100-character units with a 300-character minimum charge per request.
- Real-time document-size limits. Built-in real-time operations generally limit documents to 100 KB, while some operations have a 5 KB limit.
- Language-specific feature coverage. Different features support different languages; for example, targeted sentiment supports English, while PDF and Word custom entity recognition supports English documents.
- Feature availability changes. Topic modeling, event detection, and prompt safety classification are unavailable to new customers after April 30, 2026.
Look elsewhere when
- You need a native mobile or desktop application.
- You need a shared collaborative workspace.
- Your main requirement is code generation.
How to Use Amazon Comprehend
- 1
Create or use an AWS account
Set up AWS access and permissions before using Amazon Comprehend.
- 2
Choose the access method
Use the AWS console for interactive analysis, or use the API, CLI, or SDK for applications and automation.
- 3
Provide text or documents
Submit text directly or process files such as plain text, PDF, Word documents, and images.
- 4
Select an analysis feature
Run sentiment, entity, key-phrase, language, syntax, PII, classification, or custom entity analysis.
- 5
Use custom models when needed
Train custom classifiers or entity recognizers with domain-specific examples.
- 6
Review results and control costs
Retrieve analysis outputs, monitor quotas, and check usage against the pricing model.
Who is Amazon Comprehend For?
Application developers
Developers can integrate NLP APIs into applications using AWS SDKs, the CLI, or direct API calls.
Data scientists
Data scientists can train custom classifiers and entity recognizers with domain-specific training data.
Customer-service teams
Customer-service workflows can analyze feedback, support requests, sentiment, entities, and key phrases.
Security and compliance teams
Teams can detect and redact personally identifiable information in documents.
Frequently Asked Questions
What is Amazon Comprehend?
Amazon Comprehend is an AWS natural language processing service that uses machine learning to discover insights from text and documents.
What can Amazon Comprehend analyze?
It can analyze entities, key phrases, sentiment, dominant language, syntax, personally identifiable information, and custom classifications.
Does Amazon Comprehend support custom models?
Yes. You can train custom classification models and custom entity recognizers using your own labeled data.
What document formats are supported?
Depending on the feature, Amazon Comprehend supports plain text, PDF, Microsoft Word documents, and images.
How do I access Amazon Comprehend?
You can use the AWS Management Console, Amazon Comprehend APIs, AWS CLI commands, or AWS SDKs.
Is there a free tier?
The free tier provides 50,000 text units per API per month for 12 months, with separate topic-modeling allowances.
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