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

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

LiveChat
Configure the LiveChat
Click on the LiveChat node to configure it. You can modify the LiveChat 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 LiveChat 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 LiveChat 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 LiveChat 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 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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Google Cloud Text-To-Speech
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring LiveChat, Google Cloud 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 LiveChat and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between LiveChat 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 LiveChat and Google Cloud Text-To-Speech
LiveChat + Google Cloud Text-To-Speech + Slack: When a chat is deactivated in LiveChat, a summary is synthesized into speech using Google Cloud Text-To-Speech. The audio file URL is then sent to a designated Slack channel for quick team updates.
LiveChat + Google Cloud Text-To-Speech + Zendesk: When a new chat is started in LiveChat, FAQs are converted to audio via Google Cloud Text-To-Speech. If the question remains unanswered, a new ticket is created in Zendesk.
LiveChat and Google Cloud Text-To-Speech integration alternatives
About LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context – all visually, and without code.
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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 LiveChat and Google Cloud Text-To-Speech
How can I connect my LiveChat account to Google Cloud Text-To-Speech using Latenode?
To connect your LiveChat account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LiveChat and click on "Connect".
- Authenticate your LiveChat and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically convert LiveChat transcripts to audio?
Yes, you can! Latenode enables automated workflows so transcripts are converted to audio via Google Cloud Text-To-Speech, allowing for offline review or accessibility enhancements.
What types of tasks can I perform by integrating LiveChat with Google Cloud Text-To-Speech?
Integrating LiveChat with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Convert chat transcripts into audio files for quality assurance.
- Create audio summaries of customer interactions for quick reviews.
- Generate audio notifications based on specific chat events.
- Offer audio-based support options within LiveChat.
- Archive chat interactions as accessible audio records.
How do I trigger a workflow from a specific LiveChat event?
Latenode allows you to trigger workflows from various LiveChat events using webhooks, enabling real-time automated responses and actions.
Are there any limitations to the LiveChat 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 transcript conversions may incur Google Cloud Text-To-Speech costs.
- Real-time audio conversion of live chats is not supported.
- The quality of the audio output depends on the quality of the chat transcript.