ReachInbox and Deepgram Integration

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Automatically transcribe voicemails from ReachInbox into text using Deepgram on Latenode. Build custom workflows with JavaScript and AI to analyze transcript sentiment and trigger actions, all while paying only for execution time.

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ReachInbox

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect ReachInbox and Deepgram

Create a New Scenario to Connect ReachInbox and Deepgram

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

Add the ReachInbox Node

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

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ReachInbox

Configure the ReachInbox

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

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Add the Deepgram Node

Next, click the plus (+) icon on the ReachInbox 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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Configure the ReachInbox 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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Set Up the ReachInbox 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 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 ReachInbox, Deepgram, 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 ReachInbox and Deepgram integration works as expected. Depending on your setup, data should flow between ReachInbox 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 ReachInbox and Deepgram

ReachInbox + Deepgram + Slack: When a new voicemail is received in ReachInbox, the audio file URL is sent to Deepgram to be transcribed. The resulting transcript is then sent to a designated Slack channel.

Deepgram + ReachInbox + Google Sheets: When a call transcript is available in Deepgram (assumed through some external trigger not directly connectable), analyze the transcript's sentiment. Log the sentiment score along with relevant call details from ReachInbox into a Google Sheet.

ReachInbox and Deepgram integration alternatives

About ReachInbox

ReachInbox + Latenode: Automate cold outreach & personalize follow-ups at scale. Trigger campaigns from new leads, scraped data, or CRM updates. Latenode manages complex logic (filtering, scheduling, AI content creation) while ReachInbox handles email sending. Optimize deliverability and engagement in automated workflows.

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.

ReachInbox + Deepgram integration

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FAQ ReachInbox and Deepgram

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

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

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

Can I transcribe ReachInbox voicemails with Deepgram automatically?

Yes, you can! Latenode's visual editor makes it simple to trigger Deepgram transcriptions from new ReachInbox voicemails, instantly turning audio into actionable text.

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

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

  • Automatically transcribe voicemails left in ReachInbox.
  • Analyze sentiment of transcribed voicemails for lead prioritization.
  • Create summaries of ReachInbox call recordings using AI.
  • Route urgent voicemails to specific support channels.
  • Log transcribed voicemail data in a CRM or database.

How can Latenode enhance my ReachInbox automation workflows?

Latenode empowers you to build complex automations with no-code blocks, JavaScript, and AI, scaling ReachInbox workflows beyond basic integrations.

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

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

  • Large audio files may take longer to process.
  • Deepgram transcription accuracy can vary based on audio quality.
  • Real-time transcription isn't directly supported.

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