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

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

JavaScript
⚙
AI Anthropic Claude 3
⚙
Ocean.io
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Ocean.io, 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 Ocean.io integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Ocean.io (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 Ocean.io
Google Cloud Speech-To-Text + Ocean.io + Slack: When a new audio file is available, Google Cloud Speech-To-Text transcribes it. The transcription is then used to enrich a person in Ocean.io. Finally, Slack notifies the sales team in a public channel with the enriched person's details.
Google Cloud Speech-To-Text + Ocean.io + Salesforce: When a new audio file becomes available, Google Cloud Speech-To-Text transcribes the audio. Ocean.io enriches the company based on keywords found in the transcription, and the Salesforce record (Lead or Contact) is updated with the transcription and enriched data.
Google Cloud Speech-To-Text and Ocean.io 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.
Similar apps
Related categories
About Ocean.io
Use Ocean.io in Latenode to enrich lead data and target outreach. Identify ideal customer profiles automatically and pass qualified leads into your CRM or sales sequences. Latenode lets you add custom logic, filter leads, and trigger actions based on Ocean.io insights, creating scalable lead gen workflows without code.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Ocean.io
How can I connect my Google Cloud Speech-To-Text account to Ocean.io using Latenode?
To connect your Google Cloud Speech-To-Text account to Ocean.io 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 Ocean.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Ocean.io profiles from speech data using this integration?
Yes, you can. Latenode lets you parse speech transcripts and automatically update corresponding profiles in Ocean.io, saving time with intelligent data enrichment.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Ocean.io?
Integrating Google Cloud Speech-To-Text with Ocean.io allows you to perform various tasks, including:
- Transcribing customer calls and adding insights to Ocean.io profiles.
- Automatically updating lead data based on voice feedback analysis.
- Creating targeted segments in Ocean.io using transcribed audio data.
- Analyzing call sentiment and triggering actions in Ocean.io.
- Building detailed customer profiles from unstructured voice data.
How does Latenode enhance Google Cloud Speech-To-Text automation?
Latenode adds visual flow control, JavaScript blocks, and prompt-based AI to build more complex and customized speech workflows.
Are there any limitations to the Google Cloud Speech-To-Text and Ocean.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex logic may require JavaScript knowledge.
- High-volume speech processing can incur Google Cloud costs.
- Ocean.io API rate limits may impact data update frequency.