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

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Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Google Cloud Speech-To-Text and OpenAI Responses 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 OpenAI Responses 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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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, OpenAI Responses, 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 OpenAI Responses integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and OpenAI Responses (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 OpenAI Responses
Google Cloud Speech-To-Text + OpenAI Responses + Slack: When a new file is added to Slack, it is processed by Google Cloud Speech-To-Text to transcribe the audio. The transcribed text is then sent to OpenAI to generate a summary and determine sentiment. Finally, the summary and sentiment are posted to a specified Slack channel.
Google Cloud Speech-To-Text + OpenAI Responses + Google Docs: When a long audio file from storage is processed by Google Cloud Speech-To-Text, the transcription is sent to OpenAI Responses to summarize the content. The generated summary is then saved to a new document in Google Docs.
Google Cloud Speech-To-Text and OpenAI Responses 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 OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and OpenAI Responses
How can I connect my Google Cloud Speech-To-Text account to OpenAI Responses using Latenode?
To connect your Google Cloud Speech-To-Text account to OpenAI Responses 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 OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I summarize voice call transcripts?
Yes, you can! Latenode lets you automate this. Use Google Cloud Speech-To-Text to transcribe calls, then feed the text to OpenAI Responses for concise summaries. Automate reporting and analysis.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with OpenAI Responses?
Integrating Google Cloud Speech-To-Text with OpenAI Responses allows you to perform various tasks, including:
- Automatically summarizing customer feedback from voice recordings.
- Generating meeting summaries from recorded audio transcripts.
- Creating draft content from spoken ideas and notes.
- Analyzing sentiment in voice data for market research.
- Building voice-controlled applications with natural language responses.
HowsecureistheGoogleCloudSpeech-To-TextintegrationwithLatenode?
Latenode uses secure authentication protocols. Access tokens and sensitive data are encrypted, ensuring the privacy and security of your data during processing.
Are there any limitations to the Google Cloud Speech-To-Text and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Long audio files may require more processing time to transcribe.
- OpenAI Responses' token limits can affect the length of generated responses.
- Custom model training for specialized terminology may require additional setup.