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

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


Harvest

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

JavaScript
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AI Anthropic Claude 3
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Google Cloud Text-To-Speech
Trigger on Webhook
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Harvest
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Harvest, 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 Harvest and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and Google Cloud Text-To-Speech
Harvest + Google Cloud Text-To-Speech + Slack: When a new time entry is created in Harvest, a summary is generated using the entry details. Google Cloud Text-To-Speech converts this summary into audio, and a Slack message is sent to a designated channel with a link to the audio file.
Harvest + Google Cloud Text-To-Speech + Email: When a new time entry is created in Harvest, the details are collected. Google Cloud Text-To-Speech converts the time entry details into an audio summary and sends the audio file via email to a specified stakeholder.
Harvest and Google Cloud Text-To-Speech integration alternatives

About Harvest
Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.
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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 Harvest and Google Cloud Text-To-Speech
How can I connect my Harvest account to Google Cloud Text-To-Speech using Latenode?
To connect your Harvest account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Harvest and click on "Connect".
- Authenticate your Harvest and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create voice reminders for project deadlines?
Yes, you can! Latenode lets you trigger Google Cloud Text-To-Speech from Harvest data. Get voice notifications for upcoming deadlines ensuring timely project completion.
What types of tasks can I perform by integrating Harvest with Google Cloud Text-To-Speech?
Integrating Harvest with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Generate audio summaries of weekly timesheet reports.
- Create voice notifications for overdue invoices.
- Convert project budget updates into spoken alerts.
- Send audio confirmations for new client projects.
- Announce team timesheet submissions via audio message.
HowsecureistheHarvestintegrationwithLatenodeconsideringmydata?
Latenode employs industry-standard security protocols, including encryption and secure authentication, to protect your Harvest data during integration.
Are there any limitations to the Harvest and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex JavaScript transformations might require advanced Latenode skills.
- Large-scale data processing may be subject to rate limits.
- Custom Harvest fields might need manual mapping in Latenode.