AWS Comprehend Integration

Amazon's natural language processing service for finding insights in text. Turn AWS Comprehend results into structured actions across your workflows and downstream tools. Use Batch Detect Dominant Language to move AI generated information into the next step, such as Batch Detect Entities or Batch Detect Key Phrases.

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Supported triggers and actions for AWS Comprehend integration

Triggers can detect changes in AWS Comprehend and run actions that can create, search or modify data inside AWS Comprehend automatically [3] — exactly how you set them.

Batch Detect Dominant LanguageDetects the dominant language of up to 25 texts in one request.
Batch Detect EntitiesFinds named entities in up to 25 texts in one request.
Batch Detect Key PhrasesExtracts key noun phrases from up to 25 texts in one request.
Batch Detect SentimentDetects the overall sentiment of up to 25 texts in one request.
Batch Detect SyntaxTags the part of speech of every word in up to 25 texts in one request.
Batch Detect Targeted SentimentDetects the sentiment about each entity mentioned in up to 25 texts in one request.
Classify DocumentClassifies a text or document in real time with a custom classifier endpoint.
Contains PII EntitiesChecks whether a text contains personal information and lists the kinds found.
Describe DatasetReturns the status and details of a flywheel dataset.
Describe Document Classification JobReturns the status and settings of a document classification job.
Describe Document ClassifierReturns the training status, settings, and accuracy metrics of a document classifier.
Describe Dominant Language Detection JobReturns the status and settings of a dominant language detection job.
Describe EndpointReturns the status, model, and capacity of a custom model endpoint.
Describe Entities Detection JobReturns the status and settings of an entities detection job.
Describe Entity RecognizerReturns the training status, settings, and accuracy metrics of an entity recognizer.
Describe Events Detection JobReturns the status and settings of an events detection job.
Describe FlywheelReturns the status, active model, and settings of a flywheel.
Describe Flywheel IterationReturns the status and model metrics of one flywheel iteration.
Describe Key Phrases Detection JobReturns the status and settings of a key phrases detection job.
Describe PII Entities Detection JobReturns the status and settings of a PII entities detection job.
Describe Resource PolicyReturns the resource-based policy attached to a custom model.
Describe Sentiment Detection JobReturns the status and settings of a sentiment detection job.
Describe Targeted Sentiment Detection JobReturns the status and settings of a targeted sentiment detection job.
Describe Topics Detection JobReturns the status and settings of a topics detection job.
Detect Dominant LanguageDetects the languages a text is written in, with a confidence score for each.
Detect EntitiesFinds named entities such as people, places, and organizations in a text or document.
Detect Key PhrasesExtracts the key noun phrases from a text.
Detect PII EntitiesFinds personal information in a text and returns its type and position.
Detect SentimentDetects whether a text is positive, negative, neutral, or mixed.
Detect SyntaxSplits a text into words and tags each word with its part of speech.
Detect Targeted SentimentDetects the sentiment expressed about each entity mentioned in a text.
Detect Toxic ContentScores short text segments for toxic content such as insults, profanity, and hate speech.
List DatasetsRetrieves a list of flywheel datasets.
List Document Classification JobsRetrieves a list of document classification jobs.
List Document ClassifiersRetrieves a list of custom document classifiers.
List Document Classifier SummariesRetrieves a summary of each document classifier name with its version count and latest version.
List Dominant Language Detection JobsRetrieves a list of dominant language detection jobs.
List EndpointsRetrieves a list of custom model endpoints.
List Entities Detection JobsRetrieves a list of entities detection jobs.
List Entity RecognizersRetrieves a list of custom entity recognizers.
List Entity Recognizer SummariesRetrieves a summary of each entity recognizer name with its version count and latest version.
List Events Detection JobsRetrieves a list of events detection jobs.
List Flywheel Iteration HistoryRetrieves the iterations a flywheel has run, with their metrics.
List FlywheelsRetrieves a list of flywheels.
List Key Phrases Detection JobsRetrieves a list of key phrases detection jobs.
List PII Entities Detection JobsRetrieves a list of PII entities detection jobs.
List Sentiment Detection JobsRetrieves a list of sentiment detection jobs.
List Tags for ResourceRetrieves the tags of an Amazon Comprehend resource.
List Targeted Sentiment Detection JobsRetrieves a list of targeted sentiment detection jobs.
List Topics Detection JobsRetrieves a list of topics detection jobs.
Create DatasetAdds a training or test dataset from Amazon S3 to a flywheel.
Create Document ClassifierCreates and starts training a custom document classifier from labeled data in Amazon S3.
Create EndpointCreates a real-time endpoint for a trained custom classifier or entity recognizer.
Create Entity RecognizerCreates and starts training a custom entity recognizer from annotated data in Amazon S3.
Create FlywheelCreates a flywheel that manages training and versions of a custom model.
Delete Document ClassifierDeletes a trained or failed document classifier.
Delete EndpointDeletes a custom model endpoint and stops its billing.
Delete Entity RecognizerDeletes a trained or failed entity recognizer.
Delete FlywheelDeletes a flywheel without deleting its data lake or trained models.
Delete Resource PolicyRemoves the resource-based policy from a custom model.
Import ModelCreates a copy of a custom model shared from another AWS account.
Make an API CallPerforms an arbitrary authorized API call.
Put Resource PolicyAttaches or replaces the resource-based policy of a custom model.
Start Document Classification JobStarts an asynchronous job that classifies documents stored in Amazon S3 with a custom classifier.
Start Dominant Language Detection JobStarts an asynchronous job that detects the dominant language of documents stored in Amazon S3.
Start Entities Detection JobStarts an asynchronous job that finds entities in documents stored in Amazon S3.
Start Events Detection JobStarts an asynchronous job that detects business events in documents stored in Amazon S3.
Start Flywheel IterationStarts a flywheel iteration that trains and evaluates a new model version.
Start Key Phrases Detection JobStarts an asynchronous job that extracts key phrases from documents stored in Amazon S3.
Start PII Entities Detection JobStarts an asynchronous job that finds or redacts personal information in documents stored in Amazon S3.
Start Sentiment Detection JobStarts an asynchronous job that detects the sentiment of documents stored in Amazon S3.
Start Targeted Sentiment Detection JobStarts an asynchronous job that detects the sentiment about each entity in documents stored in Amazon S3.
Start Topics Detection JobStarts an asynchronous job that groups documents stored in Amazon S3 into topics.
Stop Dominant Language Detection JobStops a dominant language detection job that is still in progress.
Stop Entities Detection JobStops an entities detection job that is still in progress.
Stop Events Detection JobStops an events detection job that is still in progress.
Stop Key Phrases Detection JobStops a key phrases detection job that is still in progress.
Stop PII Entities Detection JobStops a PII entities detection job that is still in progress.
Stop Sentiment Detection JobStops a sentiment detection job that is still in progress.
Stop Targeted Sentiment Detection JobStops a targeted sentiment detection job that is still in progress.
Stop Training Document ClassifierStops the training of a document classifier that is still in progress.
Stop Training Entity RecognizerStops the training of an entity recognizer that is still in progress.
Tag ResourceAdds tags to an Amazon Comprehend resource.
Untag ResourceRemoves tags from an Amazon Comprehend resource.
Update EndpointUpdates the model, capacity, or access role of a custom model endpoint.
Update FlywheelUpdates the active model, access role, or security settings of a flywheel.

How to integrate AWS Comprehend in automation workflow?

3 simple steps to make your AWS Comprehend connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.

STEP 1

Select AWS Comprehend in workflow

Pick AWS Comprehend app in the workflow builder [4] - just one click to select the app.

STEP 2

Connect AWS Comprehend

When prompted, authorize access to AWS Comprehend in WEXTL once. AWS Comprehend credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].

WEXTL wants to integrate with your AWS Comprehend account. Approve?

STEP 3

Build a workflow

Build your workflow with AWS Comprehend yourself or with WEXTL® AI Builder. Connect AWS Comprehend to any available integrations [5], or use HTTP node to go beyond them.

AWS Comprehend

How AWS Comprehend connects and integrates with WEXTL

Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever AWS Comprehend app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that AWS Comprehend supports.

Full AWS Comprehend API documentation

The following table illustrates what fields AWS Comprehend integration require during authorization flow inside our workflow builder [4].

Demonstration of AWS Comprehend connection step inside WEXTL Workflow Builder [4].

Field	Type	Help
Access Key IDRequired	text	The access key ID of an IAM user or role allowed to call Amazon Comprehend, for example AKIAIOSFODNN7EXAMPLE.
Secret Access KeyRequired	password	The secret access key paired with the access key ID. It is stored encrypted and used to sign each request.
RegionRequired	select	The AWS Region that holds your Comprehend models, endpoints, and jobs. Requests go to comprehend.{region}.amazonaws.com.
ServiceRequired	select	The SigV4 signing name for Amazon Comprehend. Leave it as comprehend.
Session Token	password	Only for temporary credentials from AWS STS. Leave blank when you use a long-term IAM access key.

Connect AWS Comprehend to popular apps on WEXTL

Enter a name of the other app you want to sync with AWS Comprehend below. Click on selected app to explore integration options with AWS Comprehend. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.

Example automation with AWS Comprehend integration

Select Batch Detect Dominant Language action from AWS Comprehend - this will be a starting point in your automation. Whenever event happens in AWS Comprehend, workflow will start [7] from Batch Detect Dominant Language node.

Search for Start Dominant Language Detection Job, connect it as the next step of integration sequence. You can use filters between Batch Detect Dominant Language and Start Dominant Language Detection Job, so only important data pass from Batch Detect Dominant Language to the next step. WEXTL gives you full control over the process of AWS Comprehend automation. All parts of workflow are visible on the canvas [4].

AWS Comprehend on WEXTL has 86 modules for combining ai automations. Explore AWS Comprehend documentation for more.

AWS Comprehend

Batch Detect Dominant Language

AWS Rekognition

Performs action

AWS Rekognition

Triggers

AWS Comprehend

Start Dominant Language Detection Job

Demonstration of how visual AWS Comprehend automation [6] looks in WEXTL.

Frequently asked questions

Common questions about automating AWS Comprehend in your workflows.

AWS Comprehend has no triggers, but it provides 86 actions including "Batch Detect Dominant Language", "Batch Detect Entities", and "Batch Detect Key Phrases". Pair them with triggers from other apps to automate AWS Comprehend tasks.

Integration has 86 actions, including "Batch Detect Dominant Language", "Batch Detect Entities", and "Batch Detect Key Phrases", and more. Refer to our AWS Comprehend Documentation for detailed inputs and outputs.

No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].

Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.

The AWS Comprehend integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by AWS Comprehend official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.

Absolutely. Where AWS Comprehend provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever AWS Comprehend or any other service sends event to webhook URL.

WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for AWS Comprehend inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with AWS Comprehend modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.

References

List of sources used to gather information about the AWS Comprehend integration.

AWS Comprehend integration source code, module specs and credentials implementation.
Internal AWS Comprehend integration documentation, structured input and output parameters, scopes, and authentication methods.
Official AWS Comprehend vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
WEXTL® Apps Library
WEXTL® AWS Comprehend App Documentation
WEXTL® Workflow Scheduler
WEXTL® HTTP node documentation

AWS Comprehend Integration

Supported triggers and actions for AWS Comprehend integration