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

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Authenticate OpenPhone
Now, click the OpenPhone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenPhone settings. Authentication allows you to use OpenPhone through Latenode.
Configure the Google Cloud Speech-To-Text and OpenPhone 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 OpenPhone 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, OpenPhone, 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 OpenPhone integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and OpenPhone (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 OpenPhone
OpenPhone + Google Cloud Speech-To-Text + Slack: When a new call event occurs in OpenPhone, the audio is sent to Google Cloud Speech-To-Text for transcription. The resulting transcript is then sent as a direct message to a specified user in Slack for quick review.
OpenPhone + Google Cloud Speech-To-Text + HubSpot: When a call ends in OpenPhone, the call audio is transcribed using Google Cloud Speech-To-Text. The resulting transcription is then saved as a note engagement to the corresponding contact in HubSpot.
Google Cloud Speech-To-Text and OpenPhone 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 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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FAQ Google Cloud Speech-To-Text and OpenPhone
How can I connect my Google Cloud Speech-To-Text account to OpenPhone using Latenode?
To connect your Google Cloud Speech-To-Text account to OpenPhone 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 OpenPhone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe OpenPhone voicemails using Speech-To-Text?
Yes, you can! Latenode's visual editor makes it easy to automate voicemail transcription, delivering text summaries directly to your team. Improve response times and never miss important details.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with OpenPhone?
Integrating Google Cloud Speech-To-Text with OpenPhone allows you to perform various tasks, including:
- Transcribing call recordings for quality assurance and training.
- Analyzing call content to identify key topics and customer sentiment.
- Creating searchable transcripts of voicemails for faster information retrieval.
- Automatically updating contact records with summarized call information.
- Routing calls based on keywords identified in real-time speech.
How secure is my data when using Google Cloud Speech-To-Text on Latenode?
Latenode ensures data security using encryption and secure connections. Your Google Cloud Speech-To-Text and OpenPhone credentials are safely stored.
Are there any limitations to the Google Cloud Speech-To-Text and OpenPhone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process depending on the Google Cloud Speech-To-Text API limits.
- Real-time transcription accuracy can vary based on audio quality and background noise.
- OpenPhone API call limits may affect the volume of transcriptions possible within a given timeframe.