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

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Authenticate Encharge
Now, click the Encharge node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Encharge settings. Authentication allows you to use Encharge through Latenode.
Configure the Google Cloud Speech-To-Text and Encharge 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 Encharge 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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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Encharge, 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 Encharge integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Encharge (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 Encharge
Google Cloud Speech-To-Text + Encharge + Slack: When Google Cloud Speech-To-Text completes transcribing a customer support call recording from storage, the workflow updates the corresponding user's profile in Encharge and then sends a summary of the call to a designated Slack channel.
Zoom + Google Cloud Speech-To-Text + Encharge: Upon completion of a Zoom meeting recording, the audio is transcribed using Google Cloud Speech-To-Text. Based on keywords identified in the transcription, users are automatically tagged in Encharge based on their expressed interests during the webinar.
Google Cloud Speech-To-Text and Encharge 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 Encharge
Use Encharge in Latenode to automate personalized marketing. Build workflows that segment leads, trigger email sequences, and update customer profiles based on real-time behavior. Connect Encharge to any data source and use Latenode’s no-code tools or JavaScript to orchestrate sophisticated, event-driven campaigns without complex coding.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Encharge
How can I connect my Google Cloud Speech-To-Text account to Encharge using Latenode?
To connect your Google Cloud Speech-To-Text account to Encharge 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 Encharge accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger Encharge emails from transcribed audio?
Yes, you can! Latenode allows you to trigger personalized Encharge emails based on insights extracted from Google Cloud Speech-To-Text transcriptions, enhancing customer engagement automatically.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Encharge?
Integrating Google Cloud Speech-To-Text with Encharge allows you to perform various tasks, including:
- Automatically update Encharge profiles with data from voice interactions.
- Trigger email campaigns based on keywords identified in transcribed calls.
- Segment users in Encharge based on sentiment analysis of voice feedback.
- Create personalized marketing messages using insights from voice data.
- Analyze customer support call transcripts and update Encharge fields.
HowdoesLatenodehandlelargevolumesofGoogleCloudSpeech-To-TextdatainEncharge?
Latenode efficiently manages high data volumes using scalable architecture, ensuring seamless integration and processing for Google Cloud Speech-To-Text and Encharge.
Are there any limitations to the Google Cloud Speech-To-Text and Encharge integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex audio processing may require adjustments to Google Cloud Speech-To-Text settings.
- Encharge API limits may impact the speed of data transfer for large datasets.
- Real-time transcription workflows are subject to the latency of Google Cloud Speech-To-Text.