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

Google Cloud Speech-To-Text
âš™

Acuity Scheduling

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

Acuity Scheduling
Trigger on Webhook
âš™
Google Cloud Speech-To-Text
âš™
âš™
Iterator
âš™
Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Acuity Scheduling, 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 Acuity Scheduling integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Acuity Scheduling (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 Acuity Scheduling
Acuity Scheduling + Google Cloud Speech-To-Text + Slack: When an appointment is canceled in Acuity Scheduling, trigger the transcription of a voicemail using Google Cloud Speech-To-Text. Once the transcription is complete, send the transcribed text to a specified Slack channel for review.
Acuity Scheduling + Zoom + Google Cloud Speech-To-Text: When a Zoom meeting scheduled via Acuity Scheduling ends, trigger Google Cloud Speech-To-Text to transcribe the recording. This transcription can then be used for record-keeping and analysis.
Google Cloud Speech-To-Text and Acuity Scheduling 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.
Similar apps
Related categories

About Acuity Scheduling
Automate appointment scheduling with Acuity inside Latenode. Sync appointments to calendars, send reminders, and update CRMs automatically. Ditch manual data entry and build custom workflows using Latenode’s visual editor and API-first design. Scale your scheduling processes without code or per-step pricing limits.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Acuity Scheduling
How can I connect my Google Cloud Speech-To-Text account to Acuity Scheduling using Latenode?
To connect your Google Cloud Speech-To-Text account to Acuity Scheduling 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 Acuity Scheduling accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings to update client notes in Acuity?
Yes, you can! Latenode allows seamless data transfer. Transcribe calls with Google Cloud Speech-To-Text, then automatically update Acuity Scheduling client notes. Improve record-keeping and save time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Acuity Scheduling?
Integrating Google Cloud Speech-To-Text with Acuity Scheduling allows you to perform various tasks, including:
- Automatically transcribe voicemails left through Acuity Scheduling appointments.
- Analyze call recordings to identify frequently discussed topics.
- Create summaries of client interactions for better record-keeping.
- Trigger follow-up tasks based on the content of transcribed calls.
- Improve service quality by identifying key phrases and sentiments.
Can I use my own models with Google Cloud Speech-To-Text on Latenode?
Yes, Latenode’s flexible architecture supports custom models, enhancing transcription accuracy for niche vocabularies via advanced configurations.
Are there any limitations to the Google Cloud Speech-To-Text and Acuity Scheduling integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require more processing time.
- Transcription accuracy depends on audio quality.
- Acuity Scheduling API limits may affect high-volume workflows.