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

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

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Salesforce, 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 Salesforce integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Salesforce (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 Salesforce
Google Cloud Speech-To-Text + Salesforce + Slack: When a new audio file is available, Google Cloud Speech-To-Text transcribes it. The transcription is then used to update a contact's record in Salesforce. Finally, a Slack notification is sent to the account manager with the transcription and a link to the updated contact.
Google Cloud Speech-To-Text + Salesforce + Google Calendar: When a new call recording is available, Google Cloud Speech-To-Text transcribes the audio. Keywords from the transcription are analyzed, and if certain keywords are present, a follow-up meeting is scheduled in Google Calendar with the contact in Salesforce.
Google Cloud Speech-To-Text and Salesforce 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 Salesforce
Sync Salesforce data with other apps using Latenode. Automate lead qualification and task creation based on CRM events. No more manual data entry: build workflows that trigger actions across your stack. Use Latenode's visual editor and flexible scripting to create custom logic and scale automation without code limits.
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FAQ Google Cloud Speech-To-Text and Salesforce
How can I connect my Google Cloud Speech-To-Text account to Salesforce using Latenode?
To connect your Google Cloud Speech-To-Text account to Salesforce 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 Salesforce accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Salesforce leads from call transcriptions?
Yes, you can! Latenode's visual editor makes it easy to parse transcriptions from Google Cloud Speech-To-Text and automatically create leads in Salesforce, boosting your sales pipeline.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Salesforce?
Integrating Google Cloud Speech-To-Text with Salesforce allows you to perform various tasks, including:
- Automatically logging call details and summaries into Salesforce accounts.
- Creating new Salesforce tasks based on keywords spoken in customer calls.
- Updating Salesforce opportunity stages based on call sentiment analysis.
- Generating follow-up emails using AI based on call transcripts.
- Analyzing call data to identify trends in customer feedback and support needs.
How can I improve transcription accuracy in Latenode for specific jargon?
Latenode lets you use JavaScript and custom dictionaries to fine-tune Google Cloud Speech-To-Text for industry-specific terms, improving accuracy.
Are there any limitations to the Google Cloud Speech-To-Text and Salesforce integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of transcription data may impact processing time.
- Salesforce API limits can affect the speed of data updates.
- Custom Salesforce fields require careful mapping in Latenode workflows.