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

Add the OpenAI GPT Assistants Node
Select the OpenAI GPT Assistants node from the app selection panel on the right.

OpenAI GPT Assistants
Configure the OpenAI GPT Assistants
Click on the OpenAI GPT Assistants node to configure it. You can modify the OpenAI GPT Assistants 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 OpenAI GPT Assistants 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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Google Cloud Speech-To-Text
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 OpenAI GPT Assistants 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 OpenAI GPT Assistants 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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Google Cloud Speech-To-Text
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Save and Activate the Scenario
After configuring OpenAI GPT Assistants, 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 OpenAI GPT Assistants and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants 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 OpenAI GPT Assistants and Google Cloud Speech-To-Text
Google Cloud Speech-To-Text + OpenAI GPT Assistants + Slack: Transcribe voice messages using Google Cloud Speech-To-Text, send the transcribed text to an OpenAI GPT Assistant, and then relay the assistant's response to a specified Slack channel.
Google Cloud Speech-To-Text + OpenAI GPT Assistants + Google Docs: Asynchronously transcribe long meeting recordings from storage using Google Cloud Speech-To-Text. Summarize the transcription using an OpenAI GPT Assistant. Finally, save the summary to a new Google Docs document.
OpenAI GPT Assistants and Google Cloud Speech-To-Text integration alternatives
About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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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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FAQ OpenAI GPT Assistants and Google Cloud Speech-To-Text
How can I connect my OpenAI GPT Assistants account to Google Cloud Speech-To-Text using Latenode?
To connect your OpenAI GPT Assistants account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI GPT Assistants and click on "Connect".
- Authenticate your OpenAI GPT Assistants 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 and send summaries?
Yes, you can! Latenode allows automating transcription and sending summaries. This saves time and improves customer service by providing quick access to key information.
What types of tasks can I perform by integrating OpenAI GPT Assistants with Google Cloud Speech-To-Text?
Integrating OpenAI GPT Assistants with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe customer service calls and analyze the sentiment.
- Create meeting summaries from voice recordings with action items identified.
- Build a voice-controlled assistant that responds to spoken commands.
- Transcribe audio files and use OpenAI to generate articles and blog posts.
- Process voice surveys and provide a report based on feedback.
How do I handle long audio files for transcription on Latenode using OpenAI?
Latenode allows you to split long audio files into chunks. This ensures optimal processing and reduces the risk of timeouts, providing reliable transcriptions.
Are there any limitations to the OpenAI GPT Assistants and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy is dependent on audio quality and language clarity.
- Long audio files may incur higher processing costs from Google Cloud.
- OpenAI GPT Assistants rate limits can affect processing speed.