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

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OpenAI DALL-E
Authenticate OpenAI DALL-E
Now, click the OpenAI DALL-E node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI DALL-E settings. Authentication allows you to use OpenAI DALL-E through Latenode.
Configure the Google Cloud Speech-To-Text and OpenAI DALL-E 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 DALL-E 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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AI Anthropic Claude 3
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OpenAI DALL-E
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, OpenAI DALL-E, 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 DALL-E integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and OpenAI DALL-E (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 DALL-E
Google Cloud Speech-To-Text + OpenAI DALL-E + Slack: Transcribe audio from Google Cloud Storage using Google Cloud Speech-To-Text. Generate an image with OpenAI DALL-E based on the transcription. Send the transcription and the image to a Slack channel for a quick recap.
Google Cloud Speech-To-Text + OpenAI DALL-E + Google docs: Transcribe audio from Google Cloud Storage using Google Cloud Speech-To-Text. Generate an image with OpenAI DALL-E based on the transcription's topic. Create a Google Doc and append both the transcription text and generated image to the document.
Google Cloud Speech-To-Text and OpenAI DALL-E 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 DALL-E
Generate images with DALL-E directly within Latenode workflows. Automate content creation, personalize marketing visuals, or generate product mockups on demand. Use visual prompts and code nodes to refine results and connect DALL-E to your data sources and apps. Scale image generation without manual steps and add AI to any process.
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FAQ Google Cloud Speech-To-Text and OpenAI DALL-E
How can I connect my Google Cloud Speech-To-Text account to OpenAI DALL-E using Latenode?
To connect your Google Cloud Speech-To-Text account to OpenAI DALL-E 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 DALL-E accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate images from voice memos using Speech-To-Text and DALL-E?
Yes, you can! Latenode's visual editor makes it easy to transform audio to images. Automate content creation and bring your ideas to life with ease.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with OpenAI DALL-E?
Integrating Google Cloud Speech-To-Text with OpenAI DALL-E allows you to perform various tasks, including:
- Creating images from voice-based meeting notes automatically.
- Generating visualizations from spoken product descriptions.
- Building marketing campaigns with voice-activated image creation.
- Producing art from audiobooks or podcasts in real-time.
- Transcribing customer service calls into visual summaries.
Can I control the image resolution of DALL-E output in Latenode?
Yes, you can adjust the resolution using Latenode's no-code DALL-E parameters or low-code JavaScript blocks to fine-tune results.
Are there any limitations to the Google Cloud Speech-To-Text and OpenAI DALL-E integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take time to process due to API rate limits.
- Image generation costs depend on your OpenAI DALL-E subscription.
- The accuracy of transcriptions depends on audio quality and clarity.