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

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

JavaScript
⚙
AI Anthropic Claude 3
⚙
Airtable
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Airtable, 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 Airtable integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Airtable (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 Airtable
Google Cloud Speech-To-Text + Airtable + Slack: Transcribe customer support calls stored in Google Cloud Storage using Speech-To-Text, save the transcripts to Airtable for record-keeping, and then post a summary of the call and a link to the transcript in a Slack channel for team review and follow-up.
Airtable + Google Cloud Speech-To-Text + Google Docs: Use Airtable to track meeting recordings stored in Google Cloud Storage. When a new record is added or modified in Airtable, transcribe those recordings with Speech-To-Text, and save the full transcripts to Google Docs, creating a new document for each recording.
Google Cloud Speech-To-Text and Airtable 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.
Similar apps
Related categories
About Airtable
Sync Airtable data with other apps via Latenode for automated updates. Use Airtable as a flexible database and trigger workflows based on record changes. Automate reporting, inventory updates, and more by connecting Airtable to other services like CRMs or accounting software in Latenode. Customize with JavaScript for complex logic.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Airtable
How can I connect my Google Cloud Speech-To-Text account to Airtable using Latenode?
To connect your Google Cloud Speech-To-Text account to Airtable 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 Airtable accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe audio to Airtable?
Yes, Latenode enables automated audio transcription to Airtable. Use no-code blocks with advanced logic and AI, plus custom Javascript to tailor the experience and maintain data consistency.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Airtable?
Integrating Google Cloud Speech-To-Text with Airtable allows you to perform various tasks, including:
- Automatically transcribing customer service call recordings into Airtable.
- Generating meeting summaries from audio and storing them in Airtable bases.
- Creating searchable databases of spoken content from audio files.
- Populating Airtable fields with transcribed data for analysis and reporting.
- Building voice-enabled data entry systems for simplified data collection.
HowsecureismydatawhentranscribingaudiowithGoogleCloudSpeech-To-TextonLatenode?
Latenode employs encryption and secure data handling practices, ensuring your data's safety. You control all connections and data flow within your workflows.
Are there any limitations to the Google Cloud Speech-To-Text and Airtable integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times due to API constraints.
- Accurate transcription depends on the audio quality and clarity.
- Airtable API rate limits may affect the speed of data transfer for very large datasets.