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

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LiveChat Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select LiveChat from the list of available apps, and choose the action you need from the list of nodes within LiveChat.

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Authenticate LiveChat
Now, click the LiveChat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LiveChat settings. Authentication allows you to use LiveChat through Latenode.
Configure the Google Cloud Speech-To-Text and LiveChat 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 Google Cloud Speech-To-Text and LiveChat 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, LiveChat, 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 Google Cloud Speech-To-Text and LiveChat integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and LiveChat (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and LiveChat
LiveChat + Google Cloud Speech-To-Text + Slack: When a chat is deactivated in LiveChat, the audio from the conversation is transcribed using Google Cloud Speech-To-Text. If urgent keywords are detected in the transcription, a message is sent to a designated Slack channel to alert the support team.
LiveChat + Google Cloud Speech-To-Text + Zendesk: When a chat is deactivated in LiveChat, the audio is transcribed via Google Cloud Speech-To-Text. The transcribed text is then used to create a new ticket in Zendesk for issue tracking and resolution.
Google Cloud Speech-To-Text and LiveChat integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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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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FAQ Google Cloud Speech-To-Text and LiveChat
How can I connect my Google Cloud Speech-To-Text account to LiveChat using Latenode?
To connect your Google Cloud Speech-To-Text account to LiveChat on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and LiveChat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and send summaries to LiveChat?
Yes, you can. Latenode lets you fully automate the process, parsing data and using AI to summarize transcripts before sending them to LiveChat, improving agent efficiency and response times.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with LiveChat?
Integrating Google Cloud Speech-To-Text with LiveChat allows you to perform various tasks, including:
- Transcribing customer voicemails and sending transcripts to chat agents.
- Analyzing chat audio for sentiment and routing to appropriate departments.
- Creating automated summaries of customer interactions from audio transcripts.
- Triggering LiveChat actions based on keywords detected in voice conversations.
- Logging transcribed audio data for quality assurance and training purposes.
How does Latenode handle large audio files from Google Cloud Speech-To-Text?
Latenode efficiently processes large audio files using its serverless architecture and scalable resources, ensuring reliable transcription and data transfer.
Are there any limitations to the Google Cloud Speech-To-Text and LiveChat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time transcription accuracy depends on the audio quality and language clarity.
- High volumes of audio transcription requests may incur Google Cloud Speech-To-Text costs.
- Complex workflow logic may require JavaScript knowledge for advanced customization.