Sinch and Deepgram Integration

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Automate call analytics by connecting Sinch voice data to Deepgram’s speech-to-text API. Latenode’s visual editor simplifies the workflow, while affordable execution-based pricing makes analyzing call trends and customer sentiment at scale a breeze.

Sinch + Deepgram integration

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Sinch

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Sinch and Deepgram

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

Add the Sinch Node

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

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Sinch

Configure the Sinch

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

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Connect Sinch

Sign In

Run node once

Add the Deepgram Node

Next, click the plus (+) icon on the Sinch 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 Sinch 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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Deepgram Oauth 2.0

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Select an action *

Select

Map

The action ID

Run node once

Set Up the Sinch 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 Sinch, 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 Sinch and Deepgram integration works as expected. Depending on your setup, data should flow between Sinch 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 Sinch and Deepgram

Sinch + Deepgram + Twilio: When a new SMS is received by Sinch, the message is sent to Deepgram for sentiment analysis. If the sentiment is negative, an SMS alert is sent via Twilio.

Sinch + Deepgram + Salesforce: Transcribe Sinch call recordings using Deepgram, analyze the sentiment of the transcription, and create a new record in Salesforce to log the interaction.

Sinch and Deepgram integration alternatives

About Sinch

Use Sinch in Latenode to automate SMS tasks. Send messages for order updates, appointment reminders, or two-factor authentication directly from your workflows. Benefit from Latenode's visual editor to easily integrate Sinch with other apps. Scale communication tasks without complex coding or expensive per-step pricing.

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 Sinch and Deepgram

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

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

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

Can I transcribe voicemails automatically with Sinch and Deepgram?

Yes, you can! Latenode lets you automate voicemail transcription, sending results to your CRM or database. Save time and improve customer insights with ease.

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

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

  • Transcribing call center audio for quality assurance.
  • Analyzing customer sentiment from voice interactions.
  • Automating lead qualification from phone calls.
  • Generating summaries of customer support calls.
  • Extracting key data points from sales conversations.

Can I use JavaScript with my Sinch automations in Latenode?

Yes! Latenode allows you to incorporate JavaScript code for custom logic, data transformations, and enhanced Sinch integrations.

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

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

  • Large audio files may require longer processing times.
  • Some advanced Deepgram features require specific configurations.
  • Real-time transcription is subject to network conditions.

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