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

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Authenticate Google Chat
Now, click the Google Chat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Chat settings. Authentication allows you to use Google Chat through Latenode.
Configure the Google Cloud Speech-To-Text and Google Chat 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 Google Chat 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 Chat
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Google Chat, 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 Google Chat integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Google Chat (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 Google Chat
Google Chat + Google Cloud Speech-To-Text + Google Docs: When a new voice message is uploaded to Google Chat, it's downloaded, transcribed using Google Cloud Speech-To-Text, and the transcription is appended to a Google Docs document for record-keeping.
Google Chat + Google Cloud Speech-To-Text + Jira: When a new voice message is received in Google Chat, the audio is transcribed using Google Cloud Speech-To-Text. The transcription is then analyzed, and if keywords are detected, a new support ticket is created in Jira.
Google Cloud Speech-To-Text and Google Chat 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 Google Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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FAQ Google Cloud Speech-To-Text and Google Chat
How can I connect my Google Cloud Speech-To-Text account to Google Chat using Latenode?
To connect your Google Cloud Speech-To-Text account to Google Chat 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 Google Chat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and send them to Google Chat?
Yes, you can! Latenode allows no-code parsing of audio files into text, then posting to Google Chat. Get instant transcripts without manual effort, and scale it via Latenode's queue system.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Google Chat?
Integrating Google Cloud Speech-To-Text with Google Chat allows you to perform various tasks, including:
- Transcribe audio messages and send the text to a specific Google Chat channel.
- Automatically summarize meeting recordings and share key points in Google Chat.
- Monitor customer service calls and post alerts to Google Chat based on keywords.
- Create a real-time transcription bot for voice commands within Google Chat.
- Analyze audio feedback from customers and post sentiment analysis to Google Chat.
Can I use custom vocabularies with Speech-To-Text inside Latenode?
Yes! Latenode supports custom vocabularies, boosting transcription accuracy. Leverage JavaScript code blocks for advanced control and preprocessing.
Are there any limitations to the Google Cloud Speech-To-Text and Google Chat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time depending on the workflow setup.
- The accuracy of transcriptions depends on the audio quality and clarity of speech.
- Google Cloud Speech-To-Text API usage is subject to Google's pricing and quota policies.