How to connect Google Cloud Speech-To-Text and ServiceM8
Create a New Scenario to Connect Google Cloud Speech-To-Text and ServiceM8
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 ServiceM8 will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or ServiceM8, 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 ServiceM8 Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select ServiceM8 from the list of available apps, and choose the action you need from the list of nodes within ServiceM8.

Google Cloud Speech-To-Text
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ServiceM8

Authenticate ServiceM8
Now, click the ServiceM8 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ServiceM8 settings. Authentication allows you to use ServiceM8 through Latenode.
Configure the Google Cloud Speech-To-Text and ServiceM8 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 ServiceM8 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.

JavaScript
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AI Anthropic Claude 3
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ServiceM8
Trigger on Webhook
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Google Cloud Speech-To-Text
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, ServiceM8, 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 ServiceM8 integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and ServiceM8 (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 ServiceM8
ServiceM8 + Google Cloud Speech-To-Text + Slack: When a new job is created in ServiceM8, use Google Cloud Speech-To-Text to transcribe audio notes related to the job from cloud storage. Then, send the transcribed text to a designated Slack channel for review.
ServiceM8 + Google Cloud Speech-To-Text + AI Agent: When a job is completed in ServiceM8, use Google Cloud Speech-To-Text to transcribe the associated audio job notes. Then, use an AI Agent to summarize these notes and generate a report.
Google Cloud Speech-To-Text and ServiceM8 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 ServiceM8
Sync ServiceM8 field service data with other apps inside Latenode to automate scheduling, invoicing, and client communication. Use Latenode's visual editor to build custom workflows triggered by ServiceM8 events, avoiding manual data entry. Connect accounting, CRM, and marketing tools, extending ServiceM8's capabilities without complex coding.
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FAQ Google Cloud Speech-To-Text and ServiceM8
How can I connect my Google Cloud Speech-To-Text account to ServiceM8 using Latenode?
To connect your Google Cloud Speech-To-Text account to ServiceM8 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 ServiceM8 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate job creation from voice notes?
Yes, you can! Latenode's visual editor allows you to transcribe voice notes from Google Cloud Speech-To-Text and automatically create jobs in ServiceM8, saving time and improving accuracy.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with ServiceM8?
Integrating Google Cloud Speech-To-Text with ServiceM8 allows you to perform various tasks, including:
- Automatically create ServiceM8 job notes from transcribed audio files.
- Update job details in ServiceM8 based on voice commands.
- Trigger ServiceM8 workflows using voice-activated Google Cloud Speech-To-Text.
- Analyze customer feedback from transcribed service calls in ServiceM8.
- Create new ServiceM8 contacts using voice data parsed by Google Cloud Speech-To-Text.
How secure is my Google Cloud Speech-To-Text data within Latenode?
Latenode employs industry-standard security measures, including encryption, to protect your Google Cloud Speech-To-Text data during processing and storage.
Are there any limitations to the Google Cloud Speech-To-Text and ServiceM8 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text usage is subject to Google's pricing and API limits.
- ServiceM8 API limitations may affect the frequency of data updates.
- Complex logic may require JavaScript knowledge.