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

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Authenticate Google contacts
Now, click the Google contacts node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google contacts settings. Authentication allows you to use Google contacts through Latenode.
Configure the Google Cloud Speech-To-Text and Google contacts 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 contacts 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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Google contacts
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Google contacts, 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 contacts integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Google contacts (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 contacts
Google Cloud Speech-To-Text + Google contacts + Google Calendar: When Google Cloud Speech-To-Text recognizes speech from an audio file, it extracts keywords. Based on those keywords, the flow searches for a contact in Google Contacts. If a contact is found, a Google Calendar event is created with that contact.
Google contacts + Google Cloud Speech-To-Text + Slack: When a contact is created or updated in Google Contacts, use Google Cloud Speech-To-Text to transcribe a voicemail message (assuming a link to the audio file is available in the contact's details). The transcription is then sent to a dedicated Slack channel.
Google Cloud Speech-To-Text and Google contacts 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 contacts
Sync Google Contacts with Latenode to automate contact management. Update records, trigger follow-ups, or enrich profiles based on events in other apps. Avoid manual data entry; use Latenode’s visual builder to create flows that sync contacts across your marketing and sales tools, adding custom logic without coding.
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FAQ Google Cloud Speech-To-Text and Google contacts
How can I connect my Google Cloud Speech-To-Text account to Google contacts using Latenode?
To connect your Google Cloud Speech-To-Text account to Google contacts 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 contacts accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create contacts from transcribed voicemails?
Yes, you can! Latenode allows this automation, parsing transcriptions into contact details. Improve lead handling with timely contact creation, scaling lead gen.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Google contacts?
Integrating Google Cloud Speech-To-Text with Google contacts allows you to perform various tasks, including:
- Automatically adding new contacts from transcribed meeting notes.
- Updating contact information based on voice feedback analysis.
- Creating contact lists from transcribed customer service calls.
- Logging call summaries into contact notes automatically.
- Triggering contact creation from voice-activated form submissions.
How does Latenode handle transcription errors using Google Cloud Speech-To-Text?
Latenode allows error correction using AI steps and JavaScript, refining transcriptions for higher accuracy, improving data quality.
Are there any limitations to the Google Cloud Speech-To-Text and Google contacts integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files might require more processing time.
- Accuracy depends on the quality of the audio and language.
- Contact creation is limited by Google contacts API quotas.