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

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Authenticate Apollo
Now, click the Apollo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Apollo settings. Authentication allows you to use Apollo through Latenode.
Configure the Google Cloud Speech-To-Text and Apollo 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 Apollo 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, Apollo, 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 Apollo integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Apollo (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 Apollo
Google Cloud Speech-To-Text + Apollo + Slack: When a new audio file is available in Google Cloud Storage, the audio is transcribed using Google Cloud Speech-To-Text. The transcription is then used to search for relevant contacts in Apollo. A summary and link to the Apollo contact is sent to a dedicated Slack channel.
Google Cloud Speech-To-Text + Apollo + Google Sheets: After transcribing a call with Google Cloud Speech-To-Text, relevant contact information is searched for in Apollo. Key data points and insights from both the transcription and contact information are then logged into a Google Sheet for reporting purposes.
Google Cloud Speech-To-Text and Apollo 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 Apollo
Need precise location data? Integrate Apollo into Latenode workflows to automatically geocode addresses or enrich customer profiles with location insights. Automate data validation and routing based on geographic parameters. Use Latenode's visual editor to build scalable location-aware processes without complex coding.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Apollo
How can I connect my Google Cloud Speech-To-Text account to Apollo using Latenode?
To connect your Google Cloud Speech-To-Text account to Apollo 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 Apollo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings and automatically update Apollo contacts?
Yes, you can! Latenode's visual editor makes this simple. Automatically transcribe audio, analyze the content, and update contact details in Apollo, saving hours of manual work.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Apollo?
Integrating Google Cloud Speech-To-Text with Apollo allows you to perform various tasks, including:
- Automatically transcribe sales calls and log summaries in Apollo.
- Analyze call transcripts for keywords and update contact tags in Apollo.
- Create follow-up tasks in Apollo based on action items extracted from calls.
- Use AI to score call sentiment and update lead scores in Apollo.
- Generate personalized email drafts based on call content within Apollo.
How accurate is Google Cloud Speech-To-Text when used via Latenode?
Accuracy depends on audio quality. Latenode allows preprocessing via JavaScript and AI, improving transcript quality and data sent to Apollo.
Are there any limitations to the Google Cloud Speech-To-Text and Apollo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times.
- Complex workflow logic may require JavaScript for advanced customization.
- The integration relies on the APIs of both Google Cloud Speech-To-Text and Apollo.