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

Add the Captions Node
Select the Captions node from the app selection panel on the right.

Captions
Configure the Captions
Click on the Captions node to configure it. You can modify the Captions 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 Captions 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 Captions 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 Captions 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 Captions, 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 Captions and Google Cloud Firestore integration works as expected. Depending on your setup, data should flow between Captions 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 Captions and Google Cloud Firestore
Captions + Google Cloud Firestore + Slack: When a video translation request is completed in Captions, the translated captions are saved to Google Cloud Firestore. A notification is then sent to a designated Slack channel to inform the team that the translation is ready for review.
Google Cloud Firestore + Captions + Google Translate: When a document is updated in Google Cloud Firestore (presumably containing original captions), a translation request is submitted to Captions. The translated captions are then stored back in Google Cloud Firestore, potentially updating the original document or creating a new one.
Captions and Google Cloud Firestore integration alternatives
About Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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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 Captions and Google Cloud Firestore
How can I connect my Captions account to Google Cloud Firestore using Latenode?
To connect your Captions account to Google Cloud Firestore on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Captions and click on "Connect".
- Authenticate your Captions and Google Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate transcript backups from Captions to Firestore?
Yes, you can easily back up Captions transcripts to Google Cloud Firestore using Latenode. Automate this process with no-code blocks and JavaScript functions for custom data transformations.
What types of tasks can I perform by integrating Captions with Google Cloud Firestore?
Integrating Captions with Google Cloud Firestore allows you to perform various tasks, including:
- Store Captions transcripts in Google Cloud Firestore for archiving.
- Trigger Firestore updates when new Captions projects are created.
- Analyze transcript data stored in Firestore using Latenode's AI features.
- Create dashboards with combined Captions and Firestore data.
- Automatically share new transcript URLs from Firestore to Captions users.
How does Latenode enhance my Captions workflow?
Latenode enables advanced logic, AI steps, and flexible data manipulation between Captions and Google Cloud Firestore beyond basic integrations.
Are there any limitations to the Captions and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large transcript files may require more processing time.
- Complex data transformations may require JavaScript coding.
- Firestore costs depend on your usage and storage volume.