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

Google Cloud Speech-To-Text
⚙

Trint

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

Trint
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Trint, 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 Trint integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Trint (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 Trint
Google Cloud Speech-To-Text + Trint + Google Docs: Automatically transcribe audio from storage, upload the transcript to Trint for refinement, and then export the finalized transcript from Trint as a new Google Document.
Trint + Google Cloud Speech-To-Text + Slack: When a new event (presumably a finalized transcript or edit) occurs in Trint, use Speech-to-Text to analyze a portion of the audio. If the analysis detects a specific keyword or phrase, send a message to a designated Slack channel.
Google Cloud Speech-To-Text and Trint 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 Trint
Automate audio/video transcription workflows with Trint in Latenode. Extract text, identify speakers, and analyze content directly within your automated scenarios. Route transcripts to document storage, content management systems, or AI models for sentiment analysis. Simplify media workflows and automate reporting using Latenode's visual editor and flexible data handling.
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Trint
How can I connect my Google Cloud Speech-To-Text account to Trint using Latenode?
To connect your Google Cloud Speech-To-Text account to Trint 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 Trint accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate transcript refinement using AI?
Yes, you can! Latenode allows you to use AI blocks to automatically refine Google Cloud Speech-To-Text transcripts within Trint, improving accuracy and saving manual review time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Trint?
Integrating Google Cloud Speech-To-Text with Trint allows you to perform various tasks, including:
- Automatically transcribe audio files and send them to Trint for editing.
- Create Trint projects from Google Cloud Speech-To-Text transcriptions.
- Trigger transcription workflows based on file uploads to cloud storage.
- Enrich Trint transcripts with sentiment analysis data.
- Use JavaScript to manipulate the output format of the transcription.
How do I handle long audio files on Latenode?
Latenode allows processing of large audio files by utilizing serverless functions to chunk the data to avoid memory issues.
Are there any limitations to the Google Cloud Speech-To-Text and Trint integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time transcription is not directly supported within the integration.
- Advanced customization of Trint's editing interface is not available.
- Large-scale, parallel processing may require optimized workflow design.