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

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Authenticate Fillout
Now, click the Fillout node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fillout settings. Authentication allows you to use Fillout through Latenode.
Configure the Google Cloud Speech-To-Text and Fillout 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 Fillout 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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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Fillout, 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 Fillout integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Fillout (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 Fillout
Fillout + Google Cloud Speech-To-Text + Slack: When a new submission is received in Fillout, particularly one containing an audio recording, the audio is sent to Google Cloud Speech-To-Text for transcription. The resulting transcription is then sent as a message to a specified Slack channel.
Google Cloud Speech-To-Text + Fillout + Google Sheets: Google Cloud Speech-To-Text transcribes audio, and the resulting text is used to populate a Fillout form. The submission of this Fillout form then adds a new row containing the transcribed data to a specified Google Sheet.
Google Cloud Speech-To-Text and Fillout 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 Fillout
Use Fillout forms in Latenode to collect data and instantly trigger workflows. Instead of manual exports, automate follow-ups, database updates, or personalized emails based on form responses. Latenode lets you parse, transform, and route Fillout data to any app with full control and no per-step pricing.
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FAQ Google Cloud Speech-To-Text and Fillout
How can I connect my Google Cloud Speech-To-Text account to Fillout using Latenode?
To connect your Google Cloud Speech-To-Text account to Fillout 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 Fillout accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio responses from Fillout forms?
Yes, you can! Latenode's visual editor makes this simple. Automatically transcribe audio from Fillout, analyze the text with AI, and update your database—all without code.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Fillout?
Integrating Google Cloud Speech-To-Text with Fillout allows you to perform various tasks, including:
- Automatically transcribe voice feedback collected via Fillout forms.
- Analyze customer sentiment from spoken responses.
- Create searchable transcripts of audio interviews.
- Route form submissions based on spoken keywords.
- Trigger follow-up actions based on transcription content.
HowdoImanageGoogleCloudSpeech-To-TextcredentialsinLatenode?
Latenode securely stores credentials. You can manage and update your Google Cloud Speech-To-Text API keys within your Latenode account settings.
Are there any limitations to the Google Cloud Speech-To-Text and Fillout integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times.
- Transcription accuracy depends on audio quality.
- Rate limits are subject to your Google Cloud Speech-To-Text plan.