How to connect Amazon SES and AI: Text-To-Speech
Create a New Scenario to Connect Amazon SES and AI: Text-To-Speech
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Amazon SES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Amazon SES or AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Amazon SES or AI: Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the Amazon SES Node
Select the Amazon SES node from the app selection panel on the right.


Amazon SES

Configure the Amazon SES
Click on the Amazon SES node to configure it. You can modify the Amazon SES URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AI: Text-To-Speech Node
Next, click the plus (+) icon on the Amazon SES node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.


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AI: Text-To-Speech

Authenticate AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Amazon SES and AI: Text-To-Speech Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Amazon SES and AI: Text-To-Speech Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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AI: Text-To-Speech
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Amazon SES, AI: Text-To-Speech, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Amazon SES and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Amazon SES and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Amazon SES and AI: Text-To-Speech
Amazon SES + AI: Text-To-Speech + Google Sheets: When a new verified email identity is created in Amazon SES, its content is converted to speech using AI. The resulting speech data and a transcript are then logged in a Google Sheets spreadsheet.
Amazon SES + AI: Text-To-Speech + Slack: When a new verified email identity is created in Amazon SES, the email content is summarized into an audio clip using AI Text-To-Speech. This audio clip is then sent to a specified Slack channel as a notification.
Amazon SES and AI: Text-To-Speech integration alternatives

About Amazon SES
Automate email sending with Amazon SES in Latenode. Send transactional emails, notifications, and marketing campaigns within your automated workflows. Use Latenode's visual editor to connect SES to other apps, add conditional logic, and handle bounces – simplifying email management and scaling your communication flows without coding.
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About AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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FAQ Amazon SES and AI: Text-To-Speech
How can I connect my Amazon SES account to AI: Text-To-Speech using Latenode?
To connect your Amazon SES account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Amazon SES and click on "Connect".
- Authenticate your Amazon SES and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send voice-based notifications for order updates?
Yes, you can! Latenode lets you automate this with a visual flow. Send personalized voice messages via Amazon SES using AI: Text-To-Speech, improving customer engagement.
What types of tasks can I perform by integrating Amazon SES with AI: Text-To-Speech?
Integrating Amazon SES with AI: Text-To-Speech allows you to perform various tasks, including:
- Send automated voice message confirmations for subscriptions.
- Create personalized voice mail drops for sales outreach.
- Generate audio versions of newsletters for accessibility.
- Automate voice-based alerts for critical system updates.
- Provide voice confirmations for password reset requests.
Can I use dynamic data in my AI: Text-To-Speech messages?
Yes. Latenode supports dynamic data insertion, letting you personalize voice messages with real-time information from your flows.
Are there any limitations to the Amazon SES and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SSML markup for AI: Text-To-Speech may require code blocks.
- Amazon SES sending limits still apply within Latenode workflows.
- AI: Text-To-Speech language support is subject to the provider’s availability.