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


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Authenticate Kintone
Now, click the Kintone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Kintone settings. Authentication allows you to use Kintone through Latenode.
Configure the Google Cloud Text-To-Speech and Kintone 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 Kintone 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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AI Anthropic Claude 3
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Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Kintone, 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 Kintone integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Kintone (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 Kintone
Kintone + Google Cloud Text-To-Speech + Slack: When a new record is created in Kintone, its data is converted to speech using Google Cloud Text-To-Speech. The resulting audio is then sent as a message to a specified Slack channel.
Kintone + Google Cloud Text-To-Speech + Email: When a record in Kintone is updated, a speech summary of the updated information is generated using Google Cloud Text-To-Speech and sent via email to a designated recipient.
Google Cloud Text-To-Speech and Kintone 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 Kintone
Integrate Kintone into Latenode to automate custom application workflows. Sync data, trigger actions, and manage processes without code. Extend Kintone's capabilities with Latenode's visual builder, JavaScript functions, and AI tools to automate data validation, reporting, and notifications. Scale efficiently and only pay for what you use.
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FAQ Google Cloud Text-To-Speech and Kintone
How can I connect my Google Cloud Text-To-Speech account to Kintone using Latenode?
To connect your Google Cloud Text-To-Speech account to Kintone 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 Kintone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Kintone records from spoken feedback?
Yes, you can! Latenode allows parsing audio via Google Cloud Text-To-Speech and creating new Kintone records, automatically transforming voice input into structured data.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Kintone?
Integrating Google Cloud Text-To-Speech with Kintone allows you to perform various tasks, including:
- Transcribing customer support audio into Kintone for analysis.
- Generating Kintone records from voice-activated data entry.
- Creating meeting summaries in Kintone based on audio recordings.
- Converting spoken product feedback into actionable Kintone tasks.
- Automating voice-based data capture for remote field teams.
Can I use JavaScript to customize Google Cloud Text-To-Speech options?
Yes, Latenode supports JavaScript code blocks. This provides complete control over Google Cloud Text-To-Speech parameters, offering unparalleled customization.
Are there any limitations to the Google Cloud Text-To-Speech and Kintone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Accuracy of transcription depends on audio quality and accents.
- Kintone API limits apply to the number of records created per period.