AI: Text-To-Speech and Wave Integration

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Automatically generate audio announcements from text using AI: Text-To-Speech, then instantly share them on Wave. Latenode's visual editor and affordable pay-by-execution pricing make automating internal communications easier than ever.

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AI: Text-To-Speech

Wave

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI: Text-To-Speech and Wave

Create a New Scenario to Connect AI: Text-To-Speech and Wave

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

Add the AI: Text-To-Speech Node

Select the AI: Text-To-Speech node from the app selection panel on the right.

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Configure the AI: Text-To-Speech

Click on the AI: Text-To-Speech node to configure it. You can modify the AI: Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect AI: Text-To-Speech

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Run node once

Add the Wave Node

Next, click the plus (+) icon on the AI: Text-To-Speech node, select Wave from the list of available apps, and choose the action you need from the list of nodes within Wave.

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Authenticate Wave

Now, click the Wave node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wave settings. Authentication allows you to use Wave through Latenode.

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Configure the AI: Text-To-Speech and Wave Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the AI: Text-To-Speech and Wave 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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Save and Activate the Scenario

After configuring AI: Text-To-Speech, Wave, 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 AI: Text-To-Speech and Wave integration works as expected. Depending on your setup, data should flow between AI: Text-To-Speech and Wave (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect AI: Text-To-Speech and Wave

Slack + AI: Text-To-Speech + Slack: When a new message is posted to a specific Slack channel, the text of the message is converted to speech using AI, and then the audio is sent as a direct message to specified users who might have missed the meeting.

Wave + AI: Text-To-Speech + Email: When a new invoice is created in Wave, the invoice details are converted to speech using AI, and then sent to the visually impaired user in an audio format via email. The user then receives an email confirmation.

AI: Text-To-Speech and Wave integration alternatives

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.

About Wave

Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.

See how Latenode works

FAQ AI: Text-To-Speech and Wave

How can I connect my AI: Text-To-Speech account to Wave using Latenode?

To connect your AI: Text-To-Speech account to Wave on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select AI: Text-To-Speech and click on "Connect".
  • Authenticate your AI: Text-To-Speech and Wave accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I create Wave invoices from spoken AI summaries?

Yes, you can! Latenode allows you to convert AI-generated text into structured data for Wave, automating invoice creation. This saves time and reduces manual data entry.

What types of tasks can I perform by integrating AI: Text-To-Speech with Wave?

Integrating AI: Text-To-Speech with Wave allows you to perform various tasks, including:

  • Automatically create Wave invoices from transcribed meeting audio.
  • Generate payment reminders using AI voices and Wave data.
  • Analyze customer feedback calls and create Wave reports.
  • Update Wave customer details based on AI-analyzed voice interactions.
  • Send personalized payment confirmations via AI-generated audio messages.

Can I use JavaScript within AI: Text-To-Speech + Wave automations?

Yes! Latenode's JavaScript blocks let you customize and extend the integration with custom data transformations.

Are there any limitations to the AI: Text-To-Speech and Wave integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require JavaScript knowledge.
  • The accuracy of speech-to-text depends on audio quality.
  • Wave API rate limits may affect high-volume workflows.

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