Lark and Deepgram Integration

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Automatically transcribe Lark meeting recordings using Deepgram, then use Latenode's visual editor to summarize key decisions and track action items. Scale affordably, paying only for execution time.

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Lark

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Deepgram

Create a New Scenario to Connect Lark and Deepgram

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 Lark, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lark or Deepgram will be your first step. To do this, click "Choose an app," find Lark or Deepgram, and select the appropriate trigger to start the scenario.

Add the Lark Node

Select the Lark node from the app selection panel on the right.

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Lark

Configure the Lark

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

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Sign In

Run node once

Add the Deepgram Node

Next, click the plus (+) icon on the Lark node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

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Authenticate Deepgram

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

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Connect Deepgram

Sign In

Run node once

Configure the Lark and Deepgram 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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Select an action *

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The action ID

Run node once

Set Up the Lark and Deepgram 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 Lark, Deepgram, 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 Lark and Deepgram integration works as expected. Depending on your setup, data should flow between Lark and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Lark and Deepgram

Lark + Deepgram + Notion: When a new message is sent in a Lark group chat, Deepgram transcribes the audio from the message. Then, key points from the transcript are summarized, and the summary is saved to a new page in Notion.

Lark + Deepgram + Google Docs: When a new message is sent in a Lark group chat, Deepgram transcribes the audio from the message. The transcript and a summary of the call are then appended to a specified Google Docs document.

Lark and Deepgram integration alternatives

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.

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

See how Latenode works

FAQ Lark and Deepgram

How can I connect my Lark account to Deepgram using Latenode?

To connect your Lark account to Deepgram on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Lark and click on "Connect".
  • Authenticate your Lark and Deepgram accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe Lark meeting recordings using Deepgram?

Yes, you can! Latenode automates this. Trigger workflows from new Lark recordings, send files to Deepgram, and get transcripts back, all without code. Improve meeting insights instantly.

What types of tasks can I perform by integrating Lark with Deepgram?

Integrating Lark with Deepgram allows you to perform various tasks, including:

  • Automatically transcribing Lark video meeting recordings for searchable archives.
  • Analyzing the sentiment of voice messages in Lark using Deepgram's AI insights.
  • Creating automated summaries of Lark calls and sharing them via Lark messages.
  • Triggering actions in other apps based on keywords identified in Deepgram transcripts.
  • Generating real-time captions for Lark meetings using Deepgram's live transcription.

How does Latenode handle large audio files from Lark for Deepgram processing?

Latenode supports large files natively. You can process audio efficiently, leveraging scalable cloud infrastructure and advanced file management.

Are there any limitations to the Lark and Deepgram integration on Latenode?

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

  • Deepgram transcription accuracy depends on audio quality.
  • Latenode's free plan has usage limits on data processing and workflow executions.
  • Real-time transcription speed may vary depending on network conditions.

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