How to connect OpenPhone and AI: Text-To-Speech
Create a New Scenario to Connect OpenPhone and AI: Text-To-Speech
In the workspace, click the βCreate New Scenarioβ button.

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

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

OpenPhone
Configure the OpenPhone
Click on the OpenPhone node to configure it. You can modify the OpenPhone 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 OpenPhone 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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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 OpenPhone 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 OpenPhone 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 donβt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenPhone, AI: Text-To-Speech, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the OpenPhone and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between OpenPhone 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 OpenPhone and AI: Text-To-Speech
OpenPhone + AI: Text-To-Speech + Slack: When a call is missed in OpenPhone, the voicemail transcript is converted to speech using AI. This audio message is then sent to a designated Slack channel for quicker awareness and response.
OpenPhone + AI: Text-To-Speech + Google Sheets: When a call transcript is generated in OpenPhone, the text is converted to speech using AI. The audio file URL, along with call details, are then stored in a Google Sheet for record-keeping and analysis.
OpenPhone and AI: Text-To-Speech integration alternatives
About OpenPhone
Use OpenPhone in Latenode to automate SMS and call workflows. Log activities, trigger actions based on call outcomes, and sync data to CRMs. By using Latenode, you orchestrate OpenPhone within complex workflows, adding logic and integrations not available in OpenPhone alone. Scale customer communication using no-code tools and AI.
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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 OpenPhone and AI: Text-To-Speech
How can I connect my OpenPhone account to AI: Text-To-Speech using Latenode?
To connect your OpenPhone account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenPhone and click on "Connect".
- Authenticate your OpenPhone and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate SMS replies with voice messages?
Yes, with Latenode! Automatically convert incoming SMS from OpenPhone into speech using AI: Text-To-Speech and send a voice message reply. Enhance customer engagement effortlessly.
What types of tasks can I perform by integrating OpenPhone with AI: Text-To-Speech?
Integrating OpenPhone with AI: Text-To-Speech allows you to perform various tasks, including:
- Automatically converting missed OpenPhone calls into transcribed voice messages.
- Creating personalized voicemail greetings using AI-generated voices.
- Sending automated voice-based appointment reminders via OpenPhone.
- Generating voice responses to frequently asked questions via SMS.
- Building call workflows using conditional logic and AI voice prompts.
Can I use custom JavaScript functions with OpenPhone in Latenode?
Yes! Latenode allows you to integrate custom JavaScript functions for advanced OpenPhone workflows, offering unparalleled flexibility and control.
Are there any limitations to the OpenPhone 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 input text.
- OpenPhone's API rate limits may affect high-volume automation.
- Voice quality is subject to the capabilities of the AI model used.