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

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Authenticate OpenAI ChatGPT
Now, click the OpenAI ChatGPT node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI ChatGPT settings. Authentication allows you to use OpenAI ChatGPT through Latenode.
Configure the Google Cloud Speech-To-Text and OpenAI ChatGPT 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 ChatGPT 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 ChatGPT, 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 ChatGPT integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and OpenAI ChatGPT (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 ChatGPT
Google Cloud Speech-To-Text + OpenAI ChatGPT + Slack: When a new file is added to Slack, it's processed by Google Cloud Speech-To-Text to transcribe the audio. The transcript is then sent to OpenAI ChatGPT for summarization. Finally, the summary is sent to a designated Slack channel.
Google Cloud Speech-To-Text + OpenAI ChatGPT + Google docs: Audio is processed by Google Cloud Speech-To-Text to transcribe the speech. The transcript is then sent to OpenAI ChatGPT to create a document draft. Finally, a new document is created in Google Docs using the AI-generated draft.
Google Cloud Speech-To-Text and OpenAI ChatGPT 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 ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and OpenAI ChatGPT
How can I connect my Google Cloud Speech-To-Text account to OpenAI ChatGPT using Latenode?
To connect your Google Cloud Speech-To-Text account to OpenAI ChatGPT 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 ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I summarize audio transcripts with context using the integration?
Yes, you can. Latenode simplifies complex integrations enabling you to quickly process audio, generate transcripts, and use OpenAI ChatGPT to create concise summaries with added context.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with OpenAI ChatGPT?
Integrating Google Cloud Speech-To-Text with OpenAI ChatGPT allows you to perform various tasks, including:
- Automatically transcribe customer support call recordings.
- Generate meeting summaries from audio recordings.
- Create content from spoken word, such as podcasts.
- Analyze sentiment from speech data in real-time.
- Build voice-controlled applications using natural language.
Can I use custom models from Google Cloud Speech-To-Text on Latenode?
Yes, Latenode supports custom models. Upload your model and reference it in the Google Cloud Speech-To-Text node for tailored transcriptions.
Are there any limitations to the Google Cloud Speech-To-Text and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Costs depend on Google Cloud Speech-To-Text and OpenAI ChatGPT pricing tiers.
- Accuracy depends on audio quality and language complexities.