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

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

Kintone
Add the Google Cloud Text-To-Speech Node
Next, click the plus (+) icon on the Kintone 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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Google Cloud Text-To-Speech

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 Kintone 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 Kintone 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 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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Google Cloud Text-To-Speech
Trigger on Webhook
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Kintone
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Webhook response

Save and Activate the Scenario
After configuring Kintone, Google Cloud Text-To-Speech, 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 Kintone and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Kintone 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 Kintone and Google Cloud Text-To-Speech
Kintone + Google Cloud Text-To-Speech + Slack: When a new record is added to Kintone, the data from specific fields is converted into speech using Google Cloud Text-To-Speech. The resulting audio file is then sent to a dedicated Slack channel for easy listening.
Kintone + Google Cloud Text-To-Speech + Email: When a new record is created in Kintone, data from the record is used to synthesize spoken audio using Google Cloud Text-To-Speech. The synthesized audio file is then sent via email to stakeholders, improving accessibility of the data.
Kintone and Google Cloud Text-To-Speech integration alternatives
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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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 Kintone and Google Cloud Text-To-Speech
How can I connect my Kintone account to Google Cloud Text-To-Speech using Latenode?
To connect your Kintone account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Kintone and click on "Connect".
- Authenticate your Kintone and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I notify users via audio based on Kintone record changes?
Yes, you can! Latenode allows real-time triggers, converting Kintone data to speech and delivering automated audio alerts—improving user engagement with timely, accessible notifications.
What types of tasks can I perform by integrating Kintone with Google Cloud Text-To-Speech?
Integrating Kintone with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Generate audio summaries of new Kintone records for quick updates.
- Create automated voice notifications for critical task assignments.
- Convert Kintone data into audio files for accessibility purposes.
- Develop voice-based reminders for upcoming Kintone deadlines.
- Implement audio verification for data entry in Kintone forms.
Can I use JavaScript to customize my data before text-to-speech?
Yes, Latenode supports JavaScript, enabling advanced data manipulation before converting Kintone information to audio using Google Cloud Text-To-Speech.
Are there any limitations to the Kintone and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The length of text converted to speech is limited by Google Cloud Text-To-Speech API constraints.
- Custom voice selection options may depend on the Google Cloud Text-To-Speech service tier.
- Complex data transformations may require advanced JavaScript knowledge.