How to connect Google Cloud Speech-To-Text and NoCRM
Create a New Scenario to Connect Google Cloud Speech-To-Text and NoCRM
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 NoCRM will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or NoCRM, 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.

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

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Authenticate NoCRM
Now, click the NoCRM node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NoCRM settings. Authentication allows you to use NoCRM through Latenode.
Configure the Google Cloud Speech-To-Text and NoCRM Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Speech-To-Text and NoCRM 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, NoCRM, 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 NoCRM integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and NoCRM (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 NoCRM
NoCRM + Google Cloud Speech-To-Text + Slack: When a new lead is created in NoCRM, use Google Cloud Speech-To-Text to transcribe the associated voice note. If keywords indicating a promising lead are found in the transcription, send a notification to the sales team via Slack.
NoCRM + Google Cloud Speech-To-Text + Google Sheets: When a lead's status is changed in NoCRM, transcribe the associated voice note using Google Cloud Speech-To-Text. Store the transcription, along with sentiment analysis results (if available through other means), in a Google Sheet for record-keeping and analysis.
Google Cloud Speech-To-Text and NoCRM 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.
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About NoCRM
Use NoCRM with Latenode to automate your sales pipeline. Automatically create new leads, update existing records, or trigger follow-up actions based on status changes. Latenode lets you connect NoCRM data to other apps, enrich it with AI, and build custom workflows for lead qualification, all without code and scalable to your needs.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and NoCRM
How can I connect my Google Cloud Speech-To-Text account to NoCRM using Latenode?
To connect your Google Cloud Speech-To-Text account to NoCRM 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 NoCRM accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create leads from transcribed calls?
Yes, you can. Latenode's visual editor simplifies creating workflows to parse Google Cloud Speech-To-Text transcripts and generate new leads in NoCRM, saving sales teams valuable time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with NoCRM?
Integrating Google Cloud Speech-To-Text with NoCRM allows you to perform various tasks, including:
- Automatically create NoCRM leads from transcribed customer service calls.
- Analyze call transcripts for keywords and update lead information in NoCRM.
- Trigger follow-up tasks in NoCRM based on sentiment analysis of call transcripts.
- Log call summaries from Google Cloud Speech-To-Text as notes in NoCRM leads.
- Archive transcribed call data associated with specific NoCRM opportunities.
How secure is Google Cloud Speech-To-Text integration on Latenode?
Latenode uses secure authentication methods and data encryption to protect your Google Cloud Speech-To-Text and NoCRM data during integration and workflow execution.
Are there any limitations to the Google Cloud Speech-To-Text and NoCRM integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex transcript analysis may require custom JavaScript code within Latenode.
- The accuracy of lead creation depends on the quality of the speech transcription.
- High volumes of transcriptions may be subject to Google Cloud Speech-To-Text API rate limits.