How to connect ConvertAPI and Google Cloud Text-To-Speech
Create a New Scenario to Connect ConvertAPI and Google Cloud Text-To-Speech
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a ConvertAPI, triggered by another scenario, or executed manually (for testing purposes). In most cases, ConvertAPI or Google Cloud Text-To-Speech will be your first step. To do this, click "Choose an app," find ConvertAPI or Google Cloud Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the ConvertAPI Node
Select the ConvertAPI node from the app selection panel on the right.


ConvertAPI

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


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Authenticate Google Cloud Text-To-Speech
Now, click the Google Cloud Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Text-To-Speech settings. Authentication allows you to use Google Cloud Text-To-Speech through Latenode.
Configure the ConvertAPI and Google Cloud Text-To-Speech 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 ConvertAPI and Google Cloud Text-To-Speech 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 donβt 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 ConvertAPI, Google Cloud Text-To-Speech, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the ConvertAPI and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between ConvertAPI and Google Cloud Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect ConvertAPI and Google Cloud Text-To-Speech
Email + ConvertAPI + Google Cloud Text-To-Speech: When a new email arrives with a document attachment, ConvertAPI converts the document to a text format. Google Cloud Text-To-Speech then synthesizes speech from the converted text. Finally, the synthesized audio is sent as an email attachment.
Telegram + ConvertAPI + Google Cloud Text-To-Speech: When a new update (message with document) arrives in Telegram, ConvertAPI converts the document to a text format. Google Cloud Text-To-Speech then synthesizes speech from the converted text. Finally, the synthesized audio is sent back to the Telegram chat.
ConvertAPI and Google Cloud Text-To-Speech integration alternatives

About ConvertAPI
Automate file conversions within Latenode. ConvertAPI handles PDFs, images, documents, and more. Instead of manual uploads or custom code, build automated workflows to convert files as they arrive, then parse data or trigger follow-up actions. Scales easily, no coding needed.
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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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FAQ ConvertAPI and Google Cloud Text-To-Speech
How can I connect my ConvertAPI account to Google Cloud Text-To-Speech using Latenode?
To connect your ConvertAPI account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select ConvertAPI and click on "Connect".
- Authenticate your ConvertAPI and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate spoken reports from converted documents?
Yes, with Latenode. Automate document conversion via ConvertAPI, then use Google Cloud Text-To-Speech to generate audio. Latenode's visual editor simplifies complex workflows, saving time.
What types of tasks can I perform by integrating ConvertAPI with Google Cloud Text-To-Speech?
Integrating ConvertAPI with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Create audio versions of documents automatically after file conversion.
- Generate spoken summaries of reports converted from PDF to text.
- Build accessibility features by converting documents to spoken audio.
- Automate voiceover creation for converted video presentations.
- Develop interactive learning modules with spoken content from documents.
How do I handle errors when converting files with ConvertAPI in Latenode?
Latenode's error handling allows you to set up alerts and retry logic. Use JavaScript blocks for advanced error resolution.
Are there any limitations to the ConvertAPI and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file conversions via ConvertAPI may impact workflow speed.
- Google Cloud Text-To-Speech has character limits per API call.
- Custom voice options may require additional Google Cloud Text-To-Speech configuration.