Google Cloud Speech-To-Text and Process Street Integration

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Automate voice-based task initiation: use Google Cloud Speech-To-Text to trigger Process Street workflows, ensuring streamlined operations. Latenode's visual editor and flexible API integration makes it easy and affordable to build custom automations.

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Google Cloud Speech-To-Text

Process Street

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Speech-To-Text and Process Street

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

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 Process Street will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Process Street, 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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Run node once

Add the Process Street Node

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

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Authenticate Process Street

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

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Configure the Google Cloud Speech-To-Text and Process Street 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 Process Street 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, Process Street, 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 Process Street integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Process Street (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 Process Street

Google Cloud Speech-To-Text + Process Street + Slack: When a meeting audio file is stored, Google Cloud Speech-To-Text transcribes it. A follow-up task is then created in Process Street based on the transcription. Finally, a Slack message notifies the relevant team about the new task and provides a summary of the meeting.

Process Street + Google Cloud Speech-To-Text + Gmail: When a workflow run is completed in Process Street, it triggers Google Cloud Speech-To-Text to transcribe a voice recording. The transcription is then sent as an email via Gmail summarizing the outcomes of the completed checklist.

Google Cloud Speech-To-Text and Process Street 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 Process Street

Use Process Street in Latenode to run repeatable tasks like onboarding or reports as part of larger workflows. Automatically trigger actions in other apps (CRM, databases) when checklist items are completed, keeping processes moving. This avoids manual updates and ensures audit trails, all at Latenode's execution-based pricing.

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FAQ Google Cloud Speech-To-Text and Process Street

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

To connect your Google Cloud Speech-To-Text account to Process Street 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 Process Street accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate task assignments based on speech recognition?

Yes, you can. Latenode’s visual editor simplifies building automations that trigger Process Street checklists based on transcriptions, streamlining workflows and improving team efficiency.

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

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

  • Automatically create Process Street tasks from transcribed meeting notes.
  • Update checklist items based on voice commands via speech recognition.
  • Trigger workflows in Process Street using voice-activated alerts.
  • Populate Process Street forms with data extracted from audio files.
  • Manage project tasks and deadlines with voice-driven automation.

What formats are supported for audio transcription in Latenode?

Latenode supports a wide range of audio formats, including WAV, MP3, FLAC, and others compatible with Google Cloud Speech-To-Text's API.

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

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

  • Large audio files might exceed Google Cloud Speech-To-Text's processing limits.
  • The accuracy of transcriptions depends on audio quality and language nuances.
  • Process Street's API rate limits may affect the speed of task creation.

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