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

Google Cloud Speech-To-Text
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Monster API

Authenticate Monster API
Now, click the Monster API node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Monster API settings. Authentication allows you to use Monster API through Latenode.
Configure the Google Cloud Speech-To-Text and Monster API 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 Monster API 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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AI Anthropic Claude 3
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Monster API
Trigger on Webhook
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Google Cloud Speech-To-Text
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Monster API, 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 Monster API integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Monster API (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 Monster API
Monster API + Google Cloud Speech-To-Text + Slack: When a new file is uploaded to the Monster API, it triggers the Google Cloud Speech-To-Text to transcribe the audio. Once the transcription is complete, the text is sent to a dedicated Slack channel for review.
Monster API + Google Cloud Speech-To-Text + Google Docs: When a new file is uploaded to the Monster API, it triggers the Google Cloud Speech-To-Text to transcribe the audio. The transcribed text is then appended to a Google Docs document for archiving interview audio.
Google Cloud Speech-To-Text and Monster API 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 Monster API
Struggling with unreliable or slow data? Integrate Monster API in Latenode to build automated data validation and cleansing workflows. Use its data enrichment and verification features to refine your data, then route the cleaned info to other services. Benefit from Latenode's visual editor and scalability for consistent, error-free data flow.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Monster API
How can I connect my Google Cloud Speech-To-Text account to Monster API using Latenode?
To connect your Google Cloud Speech-To-Text account to Monster API 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 Monster API accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio files and then send transcriptions to Monster API?
Yes, you can! Latenode allows you to automate this process visually. Benefit from streamlined transcription and data integration with Monster API for efficient data processing and reporting.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Monster API?
Integrating Google Cloud Speech-To-Text with Monster API allows you to perform various tasks, including:
- Automatically transcribing customer support call recordings for analysis.
- Analyzing voice data to identify key trends and insights.
- Creating automated reports based on transcribed audio data.
- Triggering actions in Monster API based on specific keywords detected in speech.
- Enriching customer profiles in Monster API with insights from audio transcriptions.
How does Latenode handle Google Cloud Speech-To-Text authentication securely?
Latenode uses secure authentication protocols, including OAuth 2.0, to protect your Google Cloud Speech-To-Text credentials. Your data is encrypted at rest and in transit.
Are there any limitations to the Google Cloud Speech-To-Text and Monster API integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times with Google Cloud Speech-To-Text.
- Monster API usage is subject to the rate limits of your Monster API subscription.
- Advanced Google Cloud Speech-To-Text features might require custom JavaScript code.