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

Add the AI: Text-To-Speech Node
Select the AI: Text-To-Speech node from the app selection panel on the right.

AI: Text-To-Speech
Configure the AI: Text-To-Speech
Click on the AI: Text-To-Speech node to configure it. You can modify the AI: Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Clockify Node
Next, click the plus (+) icon on the AI: Text-To-Speech node, select Clockify from the list of available apps, and choose the action you need from the list of nodes within Clockify.

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Clockify

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

Save and Activate the Scenario
After configuring AI: Text-To-Speech, Clockify, 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 AI: Text-To-Speech and Clockify integration works as expected. Depending on your setup, data should flow between AI: Text-To-Speech and Clockify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect AI: Text-To-Speech and Clockify
Clockify + AI: Text-To-Speech + Google Calendar: When a new time entry is created in Clockify, its details are converted to speech using AI, and then added as a new event in Google Calendar, providing a spoken summary for daily progress briefings.
Clockify + AI: Text-To-Speech + Slack: When a new time entry is created in Clockify, a summary is generated using AI text-to-speech, and then sent as a message to a specified Slack channel for team updates.
AI: Text-To-Speech and Clockify integration alternatives
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.
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About Clockify
Track work hours in Clockify and automate reporting within Latenode. Log time entries, then trigger automated invoice creation, project updates, or performance dashboards. Centralize time tracking data in your workflows and reduce manual data entry. Use AI tools to analyze time data and optimize project timelines.
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FAQ AI: Text-To-Speech and Clockify
How can I connect my AI: Text-To-Speech account to Clockify using Latenode?
To connect your AI: Text-To-Speech account to Clockify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select AI: Text-To-Speech and click on "Connect".
- Authenticate your AI: Text-To-Speech and Clockify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate Clockify time entries from transcribed audio?
Yes, you can! Latenode allows you to automate time tracking using AI: Text-To-Speech and Clockify. Automatically log billable hours from meeting recordings, saving time and improving accuracy.
What types of tasks can I perform by integrating AI: Text-To-Speech with Clockify?
Integrating AI: Text-To-Speech with Clockify allows you to perform various tasks, including:
- Create Clockify time entries from transcribed meeting notes automatically.
- Generate summaries of audio and log the time spent reviewing it.
- Track time spent on voiceover projects using AI-generated scripts.
- Log billable hours based on AI analysis of customer support calls.
- Automatically update project status in Clockify using speech-to-text feedback.
How does Latenode handle long AI: Text-To-Speech processing times?
Latenode uses asynchronous processing, allowing long AI tasks to run in the background without blocking your workflows. Notifications keep you informed.
Are there any limitations to the AI: Text-To-Speech and Clockify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- AI: Text-To-Speech accuracy depends on audio quality and language complexity.
- Clockify API rate limits may affect high-volume time entry creation.
- Custom JavaScript code may be required for advanced data transformations.