How to connect OpenPhone and Google Cloud Speech-To-Text
Create a New Scenario to Connect OpenPhone 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 OpenPhone, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenPhone or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find OpenPhone or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

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

OpenPhone
Configure the OpenPhone
Click on the OpenPhone node to configure it. You can modify the OpenPhone URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the OpenPhone 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 OpenPhone 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 OpenPhone 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenPhone, 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 OpenPhone and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between OpenPhone 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 OpenPhone and Google Cloud Speech-To-Text
OpenPhone + Google Cloud Speech-To-Text + Slack: When a new call is completed in OpenPhone, the call recording is sent to Google Cloud Speech-To-Text for transcription. Once the transcription is complete, the text is sent to a designated Slack channel for review.
OpenPhone + Google Cloud Speech-To-Text + Salesforce: When a new call transcript is available in OpenPhone, the text is sent to Google Cloud Speech-To-Text. The resulting data is used to update a lead's information in Salesforce.
OpenPhone and Google Cloud Speech-To-Text integration alternatives
About OpenPhone
Use OpenPhone in Latenode to automate SMS and call workflows. Log activities, trigger actions based on call outcomes, and sync data to CRMs. By using Latenode, you orchestrate OpenPhone within complex workflows, adding logic and integrations not available in OpenPhone alone. Scale customer communication using no-code tools and AI.
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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 OpenPhone and Google Cloud Speech-To-Text
How can I connect my OpenPhone account to Google Cloud Speech-To-Text using Latenode?
To connect your OpenPhone account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenPhone and click on "Connect".
- Authenticate your OpenPhone and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails to text using OpenPhone and Google Cloud Speech-To-Text integration?
Yes, you can! Latenode enables automated transcription, forwarding the text to your team. Improve response times and never miss important details, enhancing overall customer service.
What types of tasks can I perform by integrating OpenPhone with Google Cloud Speech-To-Text?
Integrating OpenPhone with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing voicemails and SMS messages.
- Analyzing call content for sentiment using AI models.
- Logging call details and transcriptions into a CRM.
- Triggering follow-up actions based on transcribed keywords.
- Creating summaries of call content for reporting purposes.
How can I ensure my OpenPhone integration scales with Latenode?
Latenode's architecture allows seamless scaling of your OpenPhone workflows. Adjust resources as needed to manage increasing call volumes without code changes.
Are there any limitations to the OpenPhone and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on audio quality and language support.
- High volumes of calls may impact processing time and require more resources.
- Integration relies on the availability and stability of both APIs.