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Automate real-time translation: Transcribe audio with Google Cloud Speech-To-Text, then instantly translate it using Google Cloud Translate. Latenode's visual editor and affordable pricing make scaling multilingual workflows easy, plus add custom logic with JavaScript when needed.
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Create a New Scenario to Connect Google Cloud Speech-To-Text and Google Cloud Translate
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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.
Google Cloud Speech-To-Text
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Google Cloud Translate
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:
JavaScript
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AI Anthropic Claude 3
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Google Cloud Translate
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, Google Cloud Translate, and any additional nodes, donโt 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 โRun onceโ 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.
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.
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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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:
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:
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: