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

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

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Softr, 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 Softr integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Softr (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 Softr
Google Cloud Speech-To-Text + Airtable + Softr: When audio is uploaded to a storage bucket, Google Cloud Speech-To-Text transcribes it. The transcription and a summary can be added to an Airtable record, which then becomes available for display on a Softr website.
Softr + Google Cloud Speech-To-Text + Google Docs: When a user uploads audio to their Softr profile, Google Cloud Speech-To-Text transcribes the audio. The transcription is then saved as a new Google Doc, and the link to this document is stored in Softr.
Google Cloud Speech-To-Text and Softr 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 Softr
Use Softr in Latenode to build custom web apps and client portals, then automate data flow between them and your backend. Update Softr content via Latenode workflows triggered by external events or scheduled tasks. Simplify app deployment and maintenance; connect it to other services for a seamless user experience.
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FAQ Google Cloud Speech-To-Text and Softr
How can I connect my Google Cloud Speech-To-Text account to Softr using Latenode?
To connect your Google Cloud Speech-To-Text account to Softr 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 Softr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio files and update Softr database?
Yes, you can. Latenode allows you to automate this process, transcribing audio via Google Cloud Speech-To-Text and updating your Softr database directly, streamlining data entry and content management.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Softr?
Integrating Google Cloud Speech-To-Text with Softr allows you to perform various tasks, including:
- Automatically populate Softr fields from transcribed customer calls.
- Create searchable audio transcript libraries within your Softr app.
- Generate content from audio and instantly publish to Softr sites.
- Analyze voice data and trigger actions in Softr based on keywords.
- Improve accessibility by providing transcriptions for audio content.
How accurate is Google Cloud Speech-To-Text inside Latenode?
Accuracy matches Google Cloud Speech-To-Text's capabilities. Latenode enhances this with data pre-processing and error handling for reliable automation.
Are there any limitations to the Google Cloud Speech-To-Text and Softr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Softr's API rate limits can affect the speed of data updates.
- Transcription accuracy depends on audio quality and language.