How to connect OpenPhone and Google Cloud Text-To-Speech
Create a New Scenario to Connect OpenPhone and Google Cloud 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 Google Cloud Text-To-Speech will be your first step. To do this, click "Choose an app," find OpenPhone or Google Cloud 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 Google Cloud Text-To-Speech Node
Next, click the plus (+) icon on the OpenPhone node, select Google Cloud Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Text-To-Speech.

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Google Cloud Text-To-Speech

Authenticate Google Cloud Text-To-Speech
Now, click the Google Cloud 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 Google Cloud Text-To-Speech settings. Authentication allows you to use Google Cloud Text-To-Speech through Latenode.
Configure the OpenPhone and Google Cloud 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 Google Cloud 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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Google Cloud Text-To-Speech
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring OpenPhone, Google Cloud 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 Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between OpenPhone and Google Cloud 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 Google Cloud Text-To-Speech
OpenPhone + Google Cloud Text-To-Speech + Slack: When a call is missed in OpenPhone, a summary is generated. This summary is then converted to speech using Google Cloud Text-To-Speech, and the resulting audio is sent as a direct message in Slack.
OpenPhone + Google Cloud Text-To-Speech + HubSpot: When a call ends in OpenPhone, the transcription is sent to Google Cloud Text-To-Speech to be processed. The resulting text is then used to create or update a contact in HubSpot with the voicemail transcription stored as a note.
OpenPhone and Google Cloud 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 Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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FAQ OpenPhone and Google Cloud Text-To-Speech
How can I connect my OpenPhone account to Google Cloud Text-To-Speech using Latenode?
To connect your OpenPhone account to Google Cloud 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 Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate voicemail transcription and SMS replies using OpenPhone and Google Cloud Text-To-Speech integration?
Yes, you can! Latenode lets you use AI to analyze transcribed voicemails and auto-send personalized SMS replies, boosting customer engagement with minimal manual effort.
What types of tasks can I perform by integrating OpenPhone with Google Cloud Text-To-Speech?
Integrating OpenPhone with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Transcribing OpenPhone voicemails into text for easy review.
- Creating automated SMS responses based on voicemail content.
- Generating personalized voice messages for outbound calls.
- Analyzing call content to identify customer needs.
- Storing transcriptions in a database for future analysis.
Can I use JavaScript to customize OpenPhone call flows in Latenode?
Yes! Latenode supports custom JavaScript code. Tailor call routing, message handling, and data processing beyond standard no-code options.
Are there any limitations to the OpenPhone and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of calls or messages may impact processing time.
- Accuracy of transcription depends on audio quality and accents.
- Google Cloud Text-To-Speech pricing tiers apply based on usage.