How to connect Ontraport and AI: Text-To-Speech
Create a New Scenario to Connect Ontraport 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 Ontraport, triggered by another scenario, or executed manually (for testing purposes). In most cases, Ontraport or AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Ontraport or AI: Text-To-Speech, and select the appropriate trigger to start the scenario.

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


Ontraport

Configure the Ontraport
Click on the Ontraport node to configure it. You can modify the Ontraport 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 Ontraport 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 Ontraport 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 Ontraport 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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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Ontraport, 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 Ontraport and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Ontraport 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 Ontraport and AI: Text-To-Speech
Ontraport + AI: Text-To-Speech + Gmail: When a new contact is added to Ontraport, their information is used to generate an audio message using AI. This audio message is then attached to a personalized email sent via Gmail to the new contact.
Ontraport + AI: Text-To-Speech + Twilio: When a new contact is added to Ontraport, lead data is used by AI to generate a personalized welcome audio message. This audio message is then sent as an SMS to the new contact via Twilio.
Ontraport and AI: Text-To-Speech integration alternatives

About Ontraport
Use Ontraport with Latenode to automate marketing and sales tasks. Sync contacts, trigger campaigns, and update customer data based on actions in other apps. Build complex workflows visually, adding custom logic with JavaScript or AI for personalized experiences. Scale marketing automation affordably, paying only for execution time.
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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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See how Latenode works
FAQ Ontraport and AI: Text-To-Speech
How can I connect my Ontraport account to AI: Text-To-Speech using Latenode?
To connect your Ontraport account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Ontraport and click on "Connect".
- Authenticate your Ontraport and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize voice messages for Ontraport contacts?
Yes, you can! Latenode lets you trigger AI: Text-To-Speech with Ontraport data. This creates highly personalized voice messages, boosting engagement rates by delivering tailored content to each contact.
What types of tasks can I perform by integrating Ontraport with AI: Text-To-Speech?
Integrating Ontraport with AI: Text-To-Speech allows you to perform various tasks, including:
- Create personalized voicemail drops for new Ontraport leads.
- Send voice-based appointment reminders to your contacts.
- Generate audio summaries of Ontraport contact information.
- Automate follow-up calls based on Ontraport campaign triggers.
- Convert Ontraport email content into audio for accessibility.
How do I trigger AI: Text-To-Speech with new Ontraport contacts?
Use Latenode's visual editor to connect the Ontraport "New Contact" trigger to the AI: Text-To-Speech module, automating personalized voice message creation.
Are there any limitations to the Ontraport and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- AI: Text-To-Speech conversion relies on the quality of the provided text.
- Complex Ontraport data structures might require JavaScript for parsing.
- High volumes of API calls may be subject to Ontraport's rate limits.