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How to connect Google Cloud Speech-To-Text and Contacts+
Create a New Scenario to Connect Google Cloud Speech-To-Text and Contacts+
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 Contacts+ will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Contacts+, 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.
Add the Contacts+ Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Contacts+ from the list of available apps, and choose the action you need from the list of nodes within Contacts+.
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Authenticate Contacts+
Now, click the Contacts+ node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Contacts+ settings. Authentication allows you to use Contacts+ through Latenode.
Configure the Google Cloud Speech-To-Text and Contacts+ 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 Contacts+ 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, Contacts+, 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 Contacts+ integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Contacts+ (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 Contacts+
Google Cloud Speech-To-Text + Contacts+ + Slack: When Google Cloud Speech-To-Text recognizes long audio from storage, it transcribes the voicemail into text. This text is then added as a note to the corresponding contact in Contacts+. Finally, a Slack message is sent to a specified channel to notify about the updated contact.
Contacts+ + Google Cloud Speech-To-Text + AI Agent: When a contact is updated in Contacts+, check if there is a new voicemail. If there is, transcribe the voicemail using Google Cloud Speech-To-Text, then use an AI Agent to summarize the transcript, and finally update the contact's profile with the summary.
Google Cloud Speech-To-Text and Contacts+ 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 Contacts+
Use Contacts+ in Latenode to centralize contact data across platforms. Automate cleaning, deduplication, and enrichment processes. Sync updated contact details to your CRM or marketing tools. Latenode lets you build flexible flows and custom logic to manage contacts more efficiently and without manual data entry.
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FAQ Google Cloud Speech-To-Text and Contacts+
How can I connect my Google Cloud Speech-To-Text account to Contacts+ using Latenode?
To connect your Google Cloud Speech-To-Text account to Contacts+ 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 Contacts+ accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and update contact details?
Yes, you can! Latenode lets you automate this. Transcribe voicemails with Google Cloud Speech-To-Text, then use the output to update relevant contact information in Contacts+, saving you time and improving data accuracy.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Contacts+?
Integrating Google Cloud Speech-To-Text with Contacts+ allows you to perform various tasks, including:
- Automatically update contact details based on transcribed call recordings.
- Create new contacts from voice notes or dictated information.
- Enrich existing contact profiles with data extracted from voice conversations.
- Log call summaries and transcriptions directly to contact records.
- Trigger follow-up actions based on the content of transcribed voice data.
How accurately does Latenode handle Google Cloud Speech-To-Text transcriptions?
Latenode leverages Google Cloud Speech-To-Text's advanced algorithms, providing highly accurate transcriptions. You can enhance accuracy further using custom dictionaries.
Are there any limitations to the Google Cloud Speech-To-Text and Contacts+ integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on the audio quality and clarity.
- Contacts+ API usage is subject to their rate limits, which may affect workflow speed.
- Large audio files might require more processing time, impacting workflow execution.
