AI: Text-To-Speech and Lark Integration

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Automatically send audio notifications to Lark. Latenode's visual editor simplifies connecting AI: Text-To-Speech with Lark, turning text alerts into voice messages with affordable execution-based pricing and advanced Javascript options.

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AI: Text-To-Speech

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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

Create a New Scenario to Connect AI: Text-To-Speech and Lark

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ 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 Lark will be your first step. To do this, click "Choose an app," find AI: Text-To-Speech or Lark, 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.

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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.

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Add the Lark Node

Next, click the plus (+) icon on the AI: Text-To-Speech node, select Lark from the list of available apps, and choose the action you need from the list of nodes within Lark.

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Authenticate Lark

Now, click the Lark node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lark settings. Authentication allows you to use Lark through Latenode.

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Configure the AI: Text-To-Speech and Lark 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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Set Up the AI: Text-To-Speech and Lark 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 donโ€™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 AI: Text-To-Speech, Lark, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the AI: Text-To-Speech and Lark integration works as expected. Depending on your setup, data should flow between AI: Text-To-Speech and Lark (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 Lark

Google Sheets + AI: Text-To-Speech + Lark: When a new row is added to a Google Sheet, the text in a specified column is converted to speech using AI. The resulting audio file is then sent as a message to a designated group chat in Lark.

Lark + AI: Text-To-Speech + Lark: When a new message is received in a Lark group chat, the message is translated to a different language and converted to speech using AI. The translated audio is then sent as a message to the same Lark group chat.

AI: Text-To-Speech and Lark 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.

About Lark

Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.

AI: Text-To-Speech + Lark integration

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FAQ AI: Text-To-Speech and Lark

How can I connect my AI: Text-To-Speech account to Lark using Latenode?

To connect your AI: Text-To-Speech account to Lark 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 Lark accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I send transcribed audio notes to Lark?

Yes, you can easily send AI: Text-To-Speech transcriptions to Lark using Latenode. Automate the process with our visual editor and custom logic for seamless audio note sharing.

What types of tasks can I perform by integrating AI: Text-To-Speech with Lark?

Integrating AI: Text-To-Speech with Lark allows you to perform various tasks, including:

  • Automatically sending voice message transcriptions to a Lark group chat.
  • Creating and sharing meeting summaries from audio recordings in Lark.
  • Generating announcements using AI voice and posting them to Lark channels.
  • Transcribing customer support calls and sending the transcripts to Lark for analysis.
  • Converting text documents into audio and delivering them via Lark.

Can I control voice settings with Latenode's AI: Text-To-Speech integration?

Yes, Latenode allows granular control over voice settings like tone and speed when using AI: Text-To-Speech in your workflows.

Are there any limitations to the AI: Text-To-Speech and Lark integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • The length of audio that can be processed by AI: Text-To-Speech may be limited by the service itself.
  • Complex workflow logic might require some JavaScript knowledge for advanced customization.
  • Lark's API rate limits could affect the frequency of automated messages.

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