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

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Intercom

Authenticate Intercom
Now, click the Intercom node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Intercom settings. Authentication allows you to use Intercom through Latenode.
Configure the Google Cloud Speech-To-Text and Intercom 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 Intercom 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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Intercom
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Intercom, 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 Intercom integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Intercom (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 Intercom
Google Cloud Speech-To-Text + Intercom + Slack: When Google Cloud Speech-To-Text recognizes long audio from storage, it sends the transcribed text to Intercom as a note to a contact. Then, Slack notifies the support team about the new transcription.
Intercom + Google Cloud Speech-To-Text + Zendesk: When a new conversation is started in Intercom, the conversation content is transcribed by Google Cloud Speech-To-Text. Then, a Zendesk ticket is created with the transcribed text as the ticket description.
Google Cloud Speech-To-Text and Intercom 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 Intercom
Integrate Intercom with Latenode to automate customer support and engagement. Trigger workflows based on Intercom events to update CRMs, send personalized emails, or escalate issues. Latenode’s visual editor and flexible logic let you build custom support automation that adapts to your business needs, without complex coding or per-step fees.
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FAQ Google Cloud Speech-To-Text and Intercom
How can I connect my Google Cloud Speech-To-Text account to Intercom using Latenode?
To connect your Google Cloud Speech-To-Text account to Intercom 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 Intercom accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and log them in Intercom?
Yes, you can! Latenode's visual editor simplifies workflow creation, allowing you to automatically transcribe voicemails using Google Cloud Speech-To-Text and log the transcripts directly into Intercom.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Intercom?
Integrating Google Cloud Speech-To-Text with Intercom allows you to perform various tasks, including:
- Transcribing customer support calls and logging them as Intercom notes.
- Analyzing customer feedback from voice recordings within Intercom.
- Automatically updating Intercom user profiles with transcribed voice data.
- Creating searchable transcripts of audio messages in Intercom conversations.
- Triggering Intercom automations based on keywords found in voice transcriptions.
What Google Cloud Speech-To-Text languages does Latenode support?
Latenode supports all languages that are supported by the Google Cloud Speech-To-Text API. This provides flexibility for global teams.
Are there any limitations to the Google Cloud Speech-To-Text and Intercom integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process depending on Google Cloud Speech-To-Text API limits.
- The accuracy of transcriptions depends on the audio quality and clarity.
- Real-time transcription of ongoing calls is not directly supported; post-call analysis is required.