Deepgram and Streamtime Integration

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Automatically transcribe client calls from Deepgram and log them as billable hours in Streamtime. Latenode’s visual editor makes it easy to customize the workflow, and our usage-based pricing keeps costs predictable as you scale.

Swap Apps

Deepgram

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Streamtime

Create a New Scenario to Connect Deepgram and Streamtime

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

Add the Deepgram Node

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

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Deepgram

Configure the Deepgram

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

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Deepgram

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Connect Deepgram

Sign In

Run node once

Add the Streamtime Node

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

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Streamtime

Authenticate Streamtime

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

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Deepgram

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Streamtime

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Connect Streamtime

Sign In

Run node once

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

Most powerful ways to connect Deepgram and Streamtime

Deepgram + Streamtime + Slack: When a Streamtime job is created, Deepgram transcribes a pre-recorded audio file from a URL, and then a summary of the transcription is sent to a Slack channel for project updates.

Streamtime + Deepgram + Google Calendar: When a new or updated event is detected in Google Calendar, and if it is related to a Streamtime job, then the meeting audio is transcribed using Deepgram. After transcription, the notes are updated in the Google Calendar event.

Deepgram and Streamtime integration alternatives

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.

About Streamtime

Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.

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FAQ Deepgram and Streamtime

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

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

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

Can I automatically update project status after Deepgram analysis?

Yes, you can! Latenode enables real-time updates based on Deepgram transcript analysis. Automatically update task statuses in Streamtime, streamlining project management and improving team visibility.

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

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

  • Transcribe client call recordings and log key discussion points in Streamtime.
  • Automatically create tasks in Streamtime from action items identified in audio.
  • Analyze meeting recordings for budget-related keywords and update project costs.
  • Generate summaries of client feedback from voice data and attach them to projects.
  • Trigger alerts for specific project issues detected through audio analysis.

Can I use Deepgram's advanced features within Latenode workflows?

Yes, Latenode supports Deepgram's key features. Leverage diarization, sentiment analysis and more directly within your automated workflows.

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

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

  • Large audio files may require longer processing times with Deepgram.
  • Complex Streamtime data structures could need custom JavaScript mapping.
  • Real-time transcription workflows are subject to Deepgram's API rate limits.

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