Connect rltrsync and Deepgram to Build Intelligent Automations

Choose a Trigger

rltrsync

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Choose an Action

Deepgram

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Enable Integrations or automations with these events of rltrsync and Deepgram

Enable Integrations or automations with these events of rltrsync and Deepgram

Actions

Speech To Text

Speech To Text

Transcribe and analyze pre-recorded audio or video.

Text to Speech

Text to Speech

Covert text to speech.

Analyze Text

Analyze Text

Analyze a text-to-request.

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Frequently Asked Questions

How do I start an integration between rltrsync and Deepgram?

To start, connect both your rltrsync and Deepgram accounts to viaSocket. Once connected, you can set up a workflow where an event in rltrsync triggers actions in Deepgram (or vice versa).

Can we customize how data from rltrsync is recorded in Deepgram?

Absolutely. You can customize how rltrsync data is recorded in Deepgram. This includes choosing which data fields go into which fields of Deepgram, setting up custom formats, and filtering out unwanted information.

How often does the data sync between rltrsync and Deepgram?

The data sync between rltrsync and Deepgram typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from rltrsync to Deepgram?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between rltrsync and Deepgram?

Yes, you can set conditional logic to control the flow of data between rltrsync and Deepgram. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

rltrsync

About rltrsync

RLTRsync is a virtual ecosystem for real estate agents.

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Deepgram

About Deepgram

Deepgram is a cutting-edge speech recognition and transcription service that leverages advanced AI and deep learning technologies to deliver highly accurate and fast transcriptions. Ideal for businesses and developers looking to integrate powerful voice-to-text capabilities into their applications.

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