Get started with integrating ML capabilities into your application using Amplify

Set up Predictions

Learn how to integrate text-to-speech capabilities into your application using Amplify.

Text-to-speech

Learn more about how to transcribe audio to text (also known as speech-to-text) for your application using Amplify

Transcribe audio to text

Learn more about how to integrate translation capabilities for your application using Amplify

Translate language

Learn how to identify text from images and documents in your application using AWS Amplify.

Identify text

Learn more about how to identify entities from an image using Amplify.

Identify entities from images

Learn more about how to detect labels in an image using Amplify. For example, you can detect if an image has objects such as chairs or desks.

Label objects in an image

Learn how to determine key phrases, sentiment, language, syntax, and entities from text using Amplify.

Interpret sentiment

Sample code for using the Predictions category in Amplify

Example application

For advanced use cases where Amplify does not provide the functionality, you can retrieve the escape hatch to access the AWSRekognition instance.

Use AWS SDK

Review the data types gathered by the Amplify library that Apple requires you to disclose in your app's data usage policy when submitting the app to the App Store.

Data usage policy information

The Predictions category enables you to integrate machine learning in your application without any prior machine learning experience. The Predictions category comes with built-in support for both online and offline use cases.

AI/ML Predictions

The Analytics category enables you to collect analytics data for your app. The Analytics category comes with built-in support for Amazon Pinpoint and Amazon Kinesis (Kinesis support is currently only available in the Amplify JavaScript library). The Analytics category uses Amazon Cognito Identity pools to identify users in your app. Cognito allows you to receive data from authenticated and unauthenticated users in your app.

Set up Amplify Analytics

Learn how to record analytics events using Amplify.

Record events

Use the Amplify analytics plugin to inform Pinpoint about your users.

Identify user

he Analytics category enables you to collect analytics data for your app. The Analytics category comes with built-in support for Amazon Pinpoint and Amazon Kinesis (Kinesis support is currently only available in the Amplify JavaScript library). The Analytics category uses Amazon Cognito Identity pools to identify users in your App. Cognito allows you to receive data from authenticated, and unauthenticated users in your App.

Update Endpoint

The Amplify analytics plugin records when an application opens and closes. This session information can be viewed either from your local computer’s terminal or the AWS Console for Pinpoint.

Automatically track sessions

Learn how to enable and disable analytics using Amplify.

Enable and disable analytics

The Amazon Kinesis analytics provider allows you to send analytics data to an Amazon Kinesis stream for real-time processing.

Streaming analytics data

The Analytics category enables you to collect analytics data for your app. The Analytics category comes with built-in support for Amazon Pinpoint and Amazon Kinesis (Kinesis support is currently only available in the Amplify JavaScript library). The Analytics category uses Amazon Cognito Identity pools to identify users in your App. Cognito allows you to receive data from authenticated, and unauthenticated users in your App.

Create a custom plugin

The Amazon Kinesis Firehose analytics provider allows you to send analytics data to an Amazon Kinesis Firehose stream for reliably storing data.

Storing analytics data

Amazon Personalize can create recommendations by using event data, historical data, or a combination of both. The event data can then be used to create recommendations.

Personalized recommendations

Configure the Amplify Libraries to use existing Amazon Pinpoint resources by referencing them in your configuration.

Use existing AWS resources

For advanced use cases where Amplify does not provide the functionality, you can retrieve the escape hatch to access the AWS Pinpoint instance.

Understand how to handle persistent data on a device when a user uninstalls the app.

Uninstalling the app

Make informed decisions with drop-in analytics to track user sessions, custom user attributes and in-app metrics

Analytics

Amplify DataStore provides a programming model for leveraging shared and distributed data without writing additional code for offline and online scenarios, which makes working with distributed, cross-user data just as simple as working with local-only data.

Set up Amplify DataStore

Learn how to save, query, paginate, update, delete, and observe data in DataStore.

Manipulating data

Learn more about how DataStore handles relationships between Models, such as 'has one', 'has many', 'belongs to'.

Relational models

Learn more about how DataStore connects to an AppSync backend and automatically syncs all locally saved data using GraphQL.

Syncing data to cloud

Learn how to apply authorization rules to your models with the @auth directive

Set up authorization rules

Learn more about how conflict resolution in DataStore is managed and how to configure it.

Conflict resolution

Learn more about how DataStore handles data changes in real time.

Observe in real time

DataStore events

Additional DataStore methods

Learn more about how to issue schema updates for DataStore

Schema updates

Amplify DataStore provides a persistent on-device storage repository for you to write, read, and observe changes to data if you are online or offline, and seamlessly sync to the cloud as well as across devices. Learn more about how it works.

How it works

Learn more about advanced workflows in the Amplify DataStore category, including custom primary keys.

Customize primary keys

Seamlessly synchronize and persist online & offline data to the cloud as well as across devices

DataStore

AWS Amplify Geo module provides a simple way to get map data, search for places, and reverse geocoding.

Set up Amplify Geo

Use Amplify CLI to create and manage maps to visualize geospatial data in your app.

Configure maps

Working with map displays, APIs, and more.

Work with maps

Use Amplify Geo to add location search and location-based search capabilities.

Work with location search

Provision and manage geofences in your application with Amplify Geo.

Work with geofences

Use Amplify CLI to create and manage collections of Geofences

Configure a geofence collection

Configure Amplify Geo to use existing Amazon Location Service resources by referencing them in your configuration.

Use existing Amazon Location resources

Migrate applications from Google Maps to Amplify Geo

Migrate from Google Maps

For specialized use cases where Amplify does not provide the functionality, you can use the escape hatch to access a low-level client instance for Amazon Location Service.

Use Amazon Location Service SDK

Modern, interactive maps with location markers and location search.

Learn how to get started with in-app messaging.

Set up in-app messaging

Learn how to create a new Pinpoint campaign and configure it to be used with your Amplify project.

Create an in-app messaging campaign

Learn how to integrate your application with In-app Messaging.

Integrate your application

Learn how to sync in-app messages to your user's local device. Synced messages will be displayed when a matching event is triggered.

Sync messages

Learn how in-app messages are displayed when an In-App Messaging or analytics event is sent and matches the criteria set forth by your active In-App Messaging campaigns.

Display messages

Learn more about how to clear synced in-app messages from the user's device.

Clear messages

Learn how to segment and target your In-App Messaging campaigns to specific user subsets.

Identify a user

Learn how to respond with additional behavior to your users interacting with in-app messages by adding interaction event listeners.

Respond to interaction events

Learn how to resolve conflicts when an event is sent and meets the criteria set forth by multiple in-app messages.

Resolve conflicts

Amplify In-App Messaging helps you better engage your users with messages they can see while actively using your application. Send targeted messages to your defined user segments or even trigger contextual messages based on user behavior. Once you are up and running with In-App Messaging, you’ll be able to create messages that look native to your application and deliver them to your users all without additional code changes.

In-app Messaging

AWS Amplify Interactions category enables AI-powered chatbots in your web or mobile apps. You can use Interactions to configure your backend chatbot provider and to integrate a chatbot UI into your app with just a single line of code.

Set up Amplify Interactions

Learn more about how to integrate chat bot interactions into your application using Amplify.

Interact with bots

Automate customer workflows by enlisting the help of conversational chatbots powered by deep learning technologies

Interactions

Learn more about how you can use PubSub to pass messages between your app instances and its backend creating real-time interactive experiences.

Set up Amplify PubSub

Learn more about how to subscribe to and unsubscribe from topics using Amplify's PubSub category

Subscribe and unsubscribe

Learn more about how to publish a message using the PubSub category in Amplify

Publish

The AWS Amplify PubSub category provides connectivity with cloud-based message-oriented middleware. You can use PubSub to pass messages between your app instances and your its backend creating real-time interactive experiences.

More features

Analytics

DataStore