How to connect Google Cloud Text-To-Speech and CloudConvert
Create a New Scenario to Connect Google Cloud Text-To-Speech and CloudConvert
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 Text-To-Speech, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Text-To-Speech or CloudConvert will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or CloudConvert, and select the appropriate trigger to start the scenario.

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the CloudConvert Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select CloudConvert from the list of available apps, and choose the action you need from the list of nodes within CloudConvert.


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Authenticate CloudConvert
Now, click the CloudConvert node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudConvert settings. Authentication allows you to use CloudConvert through Latenode.
Configure the Google Cloud Text-To-Speech and CloudConvert 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 Text-To-Speech and CloudConvert 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 Text-To-Speech, CloudConvert, 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 Text-To-Speech and CloudConvert integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and CloudConvert (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 Text-To-Speech and CloudConvert
Google Cloud Text-To-Speech + CloudConvert + Google Drive: This automation converts text from a Google Drive file to speech using Google Cloud Text-To-Speech, then converts the audio file to a different format using CloudConvert, and finally saves the converted audio file back to Google Drive.
CloudConvert + Google Cloud Text-To-Speech + Email: This automation monitors for finished conversion jobs in CloudConvert. When a job finishes, it synthesizes speech from the converted file using Google Cloud Text-To-Speech and then emails the resulting audio file.
Google Cloud Text-To-Speech and CloudConvert integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About CloudConvert
Need to convert files as part of your automation? Integrate CloudConvert into Latenode to automatically transform documents, images, audio, and video formats. Automate media processing workflows, optimize file sizes for storage, and ensure compatibility across platforms—all within Latenode's visual, scalable environment.
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FAQ Google Cloud Text-To-Speech and CloudConvert
How can I connect my Google Cloud Text-To-Speech account to CloudConvert using Latenode?
To connect your Google Cloud Text-To-Speech account to CloudConvert on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and CloudConvert accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I convert audio to text in multiple languages?
Yes, you can! Latenode’s advanced logic and JavaScript blocks let you build workflows that detect language, use Google Cloud Text-To-Speech for transcription, then convert the output format via CloudConvert.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with CloudConvert?
Integrating Google Cloud Text-To-Speech with CloudConvert allows you to perform various tasks, including:
- Convert spoken audio files into various document formats.
- Automate the creation of transcripts from audio recordings.
- Archive audio and transcriptions into a single PDF.
- Generate audio files from text and convert them to MP3.
- Process audiobooks for accessibility purposes.
How does Latenode handle Google Cloud Text-To-Speech API authentication?
Latenode simplifies authentication via secure connections and variable storage, making API key management for Google Cloud Text-To-Speech much easier.
Are there any limitations to the Google Cloud Text-To-Speech and CloudConvert integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- The accuracy of the speech-to-text conversion depends on audio quality.
- You are limited by the usage quotas of your Google Cloud Text-To-Speech and CloudConvert accounts.