Harvest and AI: Text-To-Speech Integration

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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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Harvest

AI: Text-To-Speech

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Harvest and AI: Text-To-Speech

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.

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Harvest

Configure the Harvest

Click on the Harvest node to configure it. You can modify the Harvest URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Harvest

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Run node once

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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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.

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Run node once

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.

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Run node once

Set Up the Harvest and AI: 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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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.

Most powerful ways to connect Harvest and AI: Text-To-Speech

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.

Harvest and AI: 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.

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.

See how Latenode works

FAQ Harvest and AI: Text-To-Speech

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:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Harvest and click on "Connect".
  • Authenticate your Harvest and AI: Text-To-Speech accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

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:

  • Generate audio summaries of weekly timesheets for project managers.
  • Create voice notifications for approaching budget limits on projects.
  • Convert project status updates into spoken briefings for stakeholders.
  • Send audio reminders for overdue invoices using client details.
  • Automatically announce new project assignments via personalized audio messages.

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:

  • AI: Text-To-Speech conversion rates depend on the provider's service limits.
  • Complex Harvest data structures may require advanced data transformation.
  • Custom audio file storage requires configuring external storage solutions.

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