How to connect Ortto and Google Cloud Speech-To-Text
Create a New Scenario to Connect Ortto and Google Cloud Speech-To-Text
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Ortto, triggered by another scenario, or executed manually (for testing purposes). In most cases, Ortto or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Ortto or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Ortto Node
Select the Ortto node from the app selection panel on the right.

Ortto
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Ortto node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Ortto and Google Cloud Speech-To-Text 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 Ortto and Google Cloud Speech-To-Text 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 donβt 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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Trigger on Webhook
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Ortto
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Ortto, Google Cloud Speech-To-Text, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Ortto and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Ortto and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Ortto and Google Cloud Speech-To-Text
Ortto + Google Cloud Speech-To-Text + Slack: When a new activity event is recorded in Ortto (e.g., customer feedback), the audio is transcribed using Google Cloud Speech-To-Text. The transcription is then sent to a designated Slack channel for review.
Google Cloud Speech-To-Text + Ortto + Airtable: After transcribing customer calls using Google Cloud Speech-To-Text, create or update the record in Airtable with the transcription data and update the corresponding person's record in Ortto.
Ortto and Google Cloud Speech-To-Text integration alternatives
About Ortto
Use Ortto in Latenode to automate personalized marketing campaigns. Trigger emails, SMS, or push notifications based on real-time data from any source. Segment users and update profiles dynamically within Latenode workflows, responding instantly to behavior. Improve engagement by connecting Ortto's segmentation to your Latenode data pipelines.
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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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See how Latenode works
FAQ Ortto and Google Cloud Speech-To-Text
How can I connect my Ortto account to Google Cloud Speech-To-Text using Latenode?
To connect your Ortto account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Ortto and click on "Connect".
- Authenticate your Ortto and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings, update Ortto profiles?
Yes, you can. Latenode's visual editor simplifies building this automation. Automatically update customer profiles in Ortto based on insights from call transcriptions, enhancing personalization.
What types of tasks can I perform by integrating Ortto with Google Cloud Speech-To-Text?
Integrating Ortto with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing customer support calls and storing the text.
- Updating customer profiles in Ortto with insights gleaned from call content.
- Triggering personalized email campaigns based on keywords spoken during calls.
- Analyzing call sentiment and tagging Ortto profiles for follow-up actions.
- Creating automated reports on customer feedback gathered from voice interactions.
How easily can I filter specific phrases from transcriptions in Ortto?
Latenode offers advanced filtering using JavaScript blocks and AI steps. Extract key phrases and trigger precise actions within Ortto campaigns.
Are there any limitations to the Ortto and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of audio transcription can impact Google Cloud Speech-To-Text costs.
- Real-time transcription is not supported; files must be processed after recording.
- Accuracy of transcriptions depends on audio quality and accent variations.