How to connect Google Cloud Speech-To-Text and Pipedrive
Create a New Scenario to Connect Google Cloud Speech-To-Text and Pipedrive
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 Pipedrive will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Pipedrive, 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 Pipedrive Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Pipedrive from the list of available apps, and choose the action you need from the list of nodes within Pipedrive.

Google Cloud Speech-To-Text
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Pipedrive

Authenticate Pipedrive
Now, click the Pipedrive node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Pipedrive settings. Authentication allows you to use Pipedrive through Latenode.
Configure the Google Cloud Speech-To-Text and Pipedrive 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 Pipedrive 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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AI Anthropic Claude 3
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Pipedrive
Trigger on Webhook
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Google Cloud Speech-To-Text
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Pipedrive, 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 Pipedrive integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Pipedrive (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 Pipedrive
Google Cloud Speech-To-Text + Pipedrive + Slack: Transcribe sales calls using Google Cloud Speech-To-Text. Then, update the corresponding deal in Pipedrive with a link to the transcription and send a summary of the call to a designated Slack channel for team review.
Pipedrive + Google Cloud Speech-To-Text + Google docs: When a deal is updated in Pipedrive, extract any associated audio files, transcribe them using Google Cloud Speech-To-Text, and save the transcription to a new Google Docs document. The document is then linked to the contact person in Pipedrive.
Google Cloud Speech-To-Text and Pipedrive 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 Pipedrive
Sync Pipedrive with Latenode to automate sales workflows. Update deals, create activities, or trigger personalized emails based on deal stages. Use Latenode's visual editor and JavaScript node to build custom lead qualification and routing logic. Scale your sales automation without complex code or per-step pricing limits.
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FAQ Google Cloud Speech-To-Text and Pipedrive
How can I connect my Google Cloud Speech-To-Text account to Pipedrive using Latenode?
To connect your Google Cloud Speech-To-Text account to Pipedrive 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 Pipedrive accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings to update Pipedrive notes?
Yes, you can! Latenode’s AI blocks enable you to easily transcribe calls from Google Cloud Speech-To-Text and automatically update Pipedrive, saving sales reps time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Pipedrive?
Integrating Google Cloud Speech-To-Text with Pipedrive allows you to perform various tasks, including:
- Automatically creating Pipedrive deals from transcribed customer voicemails.
- Analyzing call transcripts to identify key sales opportunities in Pipedrive.
- Updating Pipedrive contact information based on spoken data from calls.
- Generating summaries of customer interactions and adding them to Pipedrive.
- Triggering Pipedrive workflows based on keywords spoken in customer calls.
How accurate is Google Cloud Speech-To-Text transcription in Latenode?
Accuracy depends on audio quality, but Latenode lets you use JavaScript to preprocess files for optimal results and consistency.
Are there any limitations to the Google Cloud Speech-To-Text and Pipedrive integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Integration relies on the accuracy of Google Cloud Speech-To-Text's transcription.
- Rate limits of Google Cloud Speech-To-Text and Pipedrive APIs apply.