Google Cloud Speech-To-Text and Sinch Integration

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Transcribe voicemails to text via Google Cloud Speech-To-Text, then use Sinch to auto-respond with relevant information. Latenode’s visual editor makes complex call center automations affordable and easy to scale with custom logic.

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Google Cloud Speech-To-Text

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Speech-To-Text and Sinch

Create a New Scenario to Connect Google Cloud Speech-To-Text and Sinch

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

Add the Google Cloud Speech-To-Text Node

Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

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Configure the Google Cloud Speech-To-Text

Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Sinch Node

Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Sinch from the list of available apps, and choose the action you need from the list of nodes within Sinch.

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Authenticate Sinch

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

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Configure the Google Cloud Speech-To-Text and Sinch 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 Google Cloud Speech-To-Text and Sinch 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 Google Cloud Speech-To-Text, Sinch, 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 Google Cloud Speech-To-Text and Sinch integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Sinch (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Cloud Speech-To-Text and Sinch

Sinch + Google Cloud Speech-To-Text + Sinch: When a new SMS is received by Sinch, the audio from a voicemail attached is transcribed using Google Cloud Speech-To-Text, and the transcription is then sent as an SMS reply using Sinch.

Sinch + Google Cloud Speech-To-Text + HubSpot: When a new SMS is received by Sinch, transcribe the call audio using Google Cloud Speech-To-Text. Then, create a note engagement for the contact in HubSpot with the transcription.

Google Cloud Speech-To-Text and Sinch integration alternatives

About Google Cloud Speech-To-Text

Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.

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.

See how Latenode works

FAQ Google Cloud Speech-To-Text and Sinch

How can I connect my Google Cloud Speech-To-Text account to Sinch using Latenode?

To connect your Google Cloud Speech-To-Text account to Sinch on Latenode, follow these steps:

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

Can I transcribe voicemails and send SMS notifications?

Yes, easily! Latenode lets you use no-code blocks to transcribe voicemails via Google Cloud Speech-To-Text and then automatically send an SMS with Sinch. Get notified instantly of important messages.

What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Sinch?

Integrating Google Cloud Speech-To-Text with Sinch allows you to perform various tasks, including:

  • Transcribing call center audio and sending alerts for critical keywords.
  • Creating automated SMS responses based on transcribed voicemail messages.
  • Analyzing customer feedback from voice surveys and triggering follow-up calls.
  • Building a voice-controlled SMS system using custom voice commands.
  • Generating summaries of phone calls and sending them via SMS for review.

How accurate is Google Cloud Speech-To-Text transcription in Latenode?

Accuracy depends on audio quality and language. Leverage Latenode’s JavaScript blocks to preprocess audio and improve transcription results.

Are there any limitations to the Google Cloud Speech-To-Text and Sinch integration on Latenode?

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

  • Transcription accuracy can be affected by poor audio quality or background noise.
  • Sinch SMS sending limits are subject to your Sinch account plan and region.
  • Real-time transcription via Google Cloud Speech-To-Text may introduce latency.

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