How to connect Google Cloud Firestore and Google Cloud Speech-To-Text
Create a New Scenario to Connect Google Cloud Firestore and Google Cloud Speech-To-Text
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 Firestore, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Firestore or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Google Cloud Firestore or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Google Cloud Firestore Node
Select the Google Cloud Firestore node from the app selection panel on the right.

Google Cloud Firestore
Configure the Google Cloud Firestore
Click on the Google Cloud Firestore node to configure it. You can modify the Google Cloud Firestore URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Google Cloud Firestore node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Google Cloud Firestore and Google Cloud Speech-To-Text 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 Firestore and Google Cloud Speech-To-Text 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 Firestore, Google Cloud Speech-To-Text, 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 Firestore and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Google Cloud Speech-To-Text (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 Firestore and Google Cloud Speech-To-Text
Google Cloud Firestore + Google Cloud Speech-To-Text + Google Translate: When a new audio file is uploaded to Google Cloud Firestore, it triggers the transcription process using Google Cloud Speech-To-Text. The resulting transcript is then stored back in Firestore.
Google Cloud Speech-To-Text + Google Cloud Firestore + Slack: When a new audio file is processed and transcribed using Google Cloud Speech-To-Text, the resulting text is stored in Google Cloud Firestore. Subsequently, a notification is sent to a designated Slack channel, informing users about the new transcript and providing a link to access it.
Google Cloud Firestore and Google Cloud Speech-To-Text integration alternatives
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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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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See how Latenode works
FAQ Google Cloud Firestore and Google Cloud Speech-To-Text
How can I connect my Google Cloud Firestore account to Google Cloud Speech-To-Text using Latenode?
To connect your Google Cloud Firestore account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Firestore and click on "Connect".
- Authenticate your Google Cloud Firestore and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio, then store the text in Firestore?
Yes, you can! Latenode makes it easy to automate this. Use Speech-To-Text to generate text from audio, then automatically store the transcription in Google Cloud Firestore without code.
What types of tasks can I perform by integrating Google Cloud Firestore with Google Cloud Speech-To-Text?
Integrating Google Cloud Firestore with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing customer service call recordings and storing them.
- Creating searchable databases of spoken content from audio files.
- Building voice-enabled applications with real-time data storage.
- Analyzing sentiment in voice recordings and logging it in Firestore.
- Generating transcripts of meeting recordings and storing meeting notes.
How does Latenode handle authentication with Google Cloud Firestore?
Latenode uses secure OAuth authentication, allowing safe and easy access to your Google Cloud Firestore data without storing your credentials.
Are there any limitations to the Google Cloud Firestore and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process.
- Integration speed depends on your Google Cloud Firestore and Speech-To-Text tiers.
- Real-time transcription accuracy depends on the audio quality.