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

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Authenticate Google Cloud Firestore
Now, click the Google Cloud Firestore node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Firestore settings. Authentication allows you to use Google Cloud Firestore through Latenode.
Configure the Google Cloud Speech-To-Text and Google Cloud Firestore 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 Cloud Firestore 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Google Cloud Firestore, 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 Cloud Firestore integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Google Cloud Firestore (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 Cloud Firestore
Google Cloud Speech-To-Text + Google Cloud Firestore + Slack: Transcribes audio files stored in Google Cloud Storage using Google Cloud Speech-To-Text, saves the transcription to a Firestore document, and then sends a summary of the transcription to a Slack channel.
Google Cloud Speech-To-Text + Google Translate + Google Cloud Firestore: Transcribes audio files stored in Google Cloud Storage using Google Cloud Speech-To-Text and saves the transcription to Firestore. The transcribed text is then translated to another language, and both the original and translated text are saved to Firestore.
Google Cloud Speech-To-Text and Google Cloud Firestore 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 Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
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FAQ Google Cloud Speech-To-Text and Google Cloud Firestore
How can I connect my Google Cloud Speech-To-Text account to Google Cloud Firestore using Latenode?
To connect your Google Cloud Speech-To-Text account to Google Cloud Firestore 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 Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I store transcribed audio notes in Firestore?
Yes, easily! Latenode simplifies data transformation, letting you automatically save Google Cloud Speech-To-Text transcriptions directly into Google Cloud Firestore. Streamline workflows and save time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Google Cloud Firestore?
Integrating Google Cloud Speech-To-Text with Google Cloud Firestore allows you to perform various tasks, including:
- Automatically saving call center transcriptions into a Firestore database.
- Storing podcast audio transcriptions alongside metadata in Firestore.
- Creating searchable archives of voice memos using Speech-To-Text and Firestore.
- Analyzing customer feedback from audio recordings and saving results.
- Building a voice-enabled application with transcript storage and retrieval.
How accurate is Google Cloud Speech-To-Text transcription?
Google Cloud Speech-To-Text offers high accuracy. Improve results further by customizing Latenode workflows with advanced AI and prompt engineering.
Are there any limitations to the Google Cloud Speech-To-Text and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require more processing time.
- Firestore write limits can affect high-volume transcription workflows.
- Custom models require proper configuration for optimal transcription.