Nimble and Google Cloud Speech-To-Text Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Automatically transcribe call recordings from Nimble using Google Cloud Speech-To-Text and Latenode’s visual editor. Enhance lead qualification at scale, using flexible JavaScript and affordable execution-based pricing to customize your workflow.

Swap Apps

Nimble

Google Cloud Speech-To-Text

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

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

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

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

Add the Nimble Node

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

+
1

Nimble

Configure the Nimble

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

+
1

Nimble

Node type

#1 Nimble

/

Name

Untitled

Connection *

Select

Map

Connect Nimble

Sign In
⏵

Run node once

Add the Google Cloud Speech-To-Text Node

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

1

Nimble

âš™

+
2

Google Cloud Speech-To-Text

Authenticate Google Cloud Speech-To-Text

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

1

Nimble

âš™

+
2

Google Cloud Speech-To-Text

Node type

#2 Google Cloud Speech-To-Text

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud Speech-To-Text

Sign In
⏵

Run node once

Configure the Nimble and Google Cloud Speech-To-Text Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Nimble

âš™

+
2

Google Cloud Speech-To-Text

Node type

#2 Google Cloud Speech-To-Text

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud Speech-To-Text

Google Cloud Speech-To-Text Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

⏵

Run node once

Set Up the Nimble and Google Cloud Speech-To-Text 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.
5

JavaScript

âš™

6

AI Anthropic Claude 3

âš™

+
7

Google Cloud Speech-To-Text

1

Trigger on Webhook

âš™

2

Nimble

âš™

âš™

3

Iterator

âš™

+
4

Webhook response

Save and Activate the Scenario

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

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

Nimble + Google Cloud Speech-To-Text + Slack: When a new task is created in Nimble, use Google Cloud Speech-To-Text to transcribe an associated audio file (if available via URL). Then, send the transcription and a summary to a designated Slack channel.

Google Cloud Speech-To-Text + Nimble + Google Sheets: After Google Cloud Speech-To-Text processes a call recording, update the corresponding Nimble contact with the transcription. Then, add a row to a Google Sheet containing the contact's name, call date, and a summary of the transcription.

Nimble and Google Cloud Speech-To-Text integration alternatives

About Nimble

Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.

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.

See how Latenode works

FAQ Nimble and Google Cloud Speech-To-Text

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

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

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

Can I transcribe call recordings automatically?

Yes, you can! Latenode enables automated transcription of Nimble call recordings via Google Cloud Speech-To-Text. Get insights faster & improve follow-up actions.

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

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

  • Automatically transcribing customer calls and storing transcripts.
  • Analyzing call sentiment to identify customer satisfaction levels.
  • Extracting key phrases from calls to update contact information.
  • Creating tasks in Nimble based on specific keywords spoken.
  • Generating summaries of calls for team collaboration.

HowsecureistheNimbleintegrationwithLatenodewhenhandlingvoice data?

Latenode employs robust security measures, including encryption and access controls, ensuring data privacy throughout the workflow process.

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

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

  • Transcription accuracy depends on audio quality and language nuances.
  • Large volumes of audio processing may incur Google Cloud Speech-To-Text costs.
  • Real-time transcription capabilities might require advanced setup.

Try now