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Automatically generate voice-over scripts from Harvest time entries for project updates. Latenode’s visual editor and affordable pricing make this workflow accessible, while JavaScript support allows for custom script refinements using Harvest data.
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Create a New Scenario to Connect Harvest and AI: 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 AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Harvest or AI: 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 AI: Text-To-Speech Node
Next, click the plus (+) icon on the Harvest node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.
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AI: Text-To-Speech
Authenticate AI: Text-To-Speech
Now, click the AI: 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 AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Harvest and AI: 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 AI: Text-To-Speech Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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AI: 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, AI: 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 AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Harvest and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Harvest + AI: Text-To-Speech + Slack: When a new time entry is created in Harvest, a summary is generated and converted into speech using AI. This audio update is then sent to a designated Slack channel.
Harvest + AI: Text-To-Speech + Email: When a new time entry is created in Harvest, a summary is generated and converted to speech. This audio summary is then sent via email to the project manager.
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 AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
Related categories
How can I connect my Harvest account to AI: Text-To-Speech using Latenode?
To connect your Harvest account to AI: Text-To-Speech on Latenode, follow these steps:
Can I create audio invoices using Harvest and AI: Text-To-Speech integration?
Yes, you can! Latenode enables automated voice invoices from Harvest data. Streamline your billing with personalized audio messages, improving client experience.
What types of tasks can I perform by integrating Harvest with AI: Text-To-Speech?
Integrating Harvest with AI: Text-To-Speech allows you to perform various tasks, including:
Can I filter Harvest data before sending to AI: Text-To-Speech?
Yes, Latenode's data transformers allow filtering and formatting Harvest data for optimal AI: Text-To-Speech conversion.
Are there any limitations to the Harvest and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: