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

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Authenticate Google Cloud Translate
Now, click the Google Cloud Translate node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Translate settings. Authentication allows you to use Google Cloud Translate through Latenode.
Configure the Google Cloud Speech-To-Text and Google Cloud Translate 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 Google Cloud Translate 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, Google Cloud Translate, 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 Google Cloud Translate integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Google Cloud Translate (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 Google Cloud Translate
Google Cloud Speech-To-Text + Google Cloud Translate + Slack: Transcribes audio from customer service calls using Google Cloud Speech-To-Text, translates the transcription into another language using Google Cloud Translate, and then posts a summary of the translated text to a designated Slack channel for review by the customer service team.
Google Drive + Google Cloud Translate + Google Cloud Speech-To-Text: When a new audio file is added to a specific Google Drive folder, the file is translated to English using Google Cloud Translate. The translated audio is then transcribed into text using Google Cloud Speech-To-Text. Finally, both the translated audio file and the transcription text are saved back to Google Drive in a separate folder.
Google Cloud Speech-To-Text and Google Cloud Translate 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 Google Cloud Translate
Automate multilingual workflows with Google Cloud Translate in Latenode. Translate text on-the-fly within any automation: localize content from web forms, translate support tickets, or adapt marketing copy for global audiences. Integrate it into complex flows and control translation logic visually, with optional JS coding for custom rules.
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FAQ Google Cloud Speech-To-Text and Google Cloud Translate
How can I connect my Google Cloud Speech-To-Text account to Google Cloud Translate using Latenode?
To connect your Google Cloud Speech-To-Text account to Google Cloud Translate 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 Google Cloud Translate accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio and translate it automatically?
Yes, you can easily do this! Latenode allows you to build workflows that automatically transcribe audio from Google Cloud Speech-To-Text, translate it with Google Cloud Translate, and store the results, saving time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Google Cloud Translate?
Integrating Google Cloud Speech-To-Text with Google Cloud Translate allows you to perform various tasks, including:
- Translate voice messages into multiple languages for global teams.
- Create translated subtitles for video content automatically.
- Analyze customer feedback in different languages.
- Automate transcription and translation for international meetings.
- Build real-time translation tools using no-code and AI steps.
How secure is Google Cloud Speech-To-Text data on Latenode?
Latenode uses industry-standard security protocols to protect your data during Google Cloud Speech-To-Text and Google Cloud Translate processes, ensuring privacy.
Are there any limitations to the Google Cloud Speech-To-Text and Google Cloud Translate integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Translation accuracy depends on the quality of the original audio.
- API usage is subject to Google Cloud's rate limits.