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OpenAI (ChatGPT, Whisper)
Google Maps

Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Google Maps integrations

Explore ready-made OpenAI (ChatGPT, Whisper) and Google Maps templates and start automating in minutes.

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Create a custom workflow

Transform your OpenAI insights into instant Google Maps actions—automatically generate mapped routes from ChatGPT travel plans, visualize DALL-E geographic creations as location markers, and convert Whisper voice notes into updated map destinations. Connect OpenAI's powerful AI outputs directly to Google Maps and watch your location-based workflows come to life without manual effort.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

OpenAI (ChatGPT, Whisper)
Trigger: Watch batch completed
Google Maps
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Gets the details of a location by either input address or geocodes.

  • Returns an static image (PNG or JPG) of Google Map.

  • Gets the details of a timezone by geographical coordinates.

  • Provides elevation data for all locations on the surface of the earth, including depth locations on the ocean floor by input geographic coordinates

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

When Google Maps triggers an automation, it activates OpenAI (ChatGPT, Sora, DALL-E, Whisper) actions automatically. For example, when ChatGPT generates location-based content, it triggers OpenAI (ChatGPT, Sora, DALL-E, Whisper) to update markers; when DALL-E creates custom map visualizations based on geographic data, it triggers corresponding OpenAI (ChatGPT, Sora, DALL-E, Whisper) updates; or when Whisper transcribes voice notes about specific places, it triggers OpenAI (ChatGPT, Sora, DALL-E, Whisper) to modify location information. This trigger-action integration enables automated workflows where OpenAI's AI outputs directly initiate OpenAI (ChatGPT, Sora, DALL-E, Whisper) operations, such as generating travel itineraries with ChatGPT that trigger the creation of mapped routes in OpenAI (ChatGPT, Sora, DALL-E, Whisper), or processing location data through OpenAI that triggers updates to OpenAI (ChatGPT, Sora, DALL-E, Whisper) markers and destinations.

Analyze images (Vision)
Analyzes images according to specified instructions.
Action
Cancel a batch
Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.
Action
Create a batch
Creates and executes a batch of API calls.
Action
Create a skill
Creates a new skill.
Action
Create a skill version
Creates a new immutable skill version.
Action
Create a vector store or add files
Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.
Action
Delete a conversation
Deletes an existing conversation.
Action
Delete a response
Deletes an existing model response.
Action
Delete a skill
Deletes a skill. This action cannot be undone.
Action
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How to set up OpenAI (ChatGPT, Whisper) and Google Maps in 5 easy steps

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Step 1

Set up your Google Cloud project

Before connecting Google Maps to Make, you'll need to create a project in Google Cloud Platform. This project acts as a container for all the settings that allow Make to talk to Google Maps. Log into Google Cloud Platform, click 'New project', give it a name, and make sure it's selected from the dropdown menu at the top of the page.

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Step 2

Enable the Google Maps services

Once your project is ready, you need to turn on the Google Maps features you want to use. Go to the 'APIs & Services' section, then click on 'Library'. Search for the Google Maps services you need and click the 'Enable' button for each one. This tells Google Cloud Platform that your project is allowed to use these specific Google Maps tools.

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Step 3

Get your API key from Google Cloud

An API key is like a special password that lets Make access your Google Maps services securely. In Google Cloud Platform, navigate to 'APIs & Services' and then 'Credentials'. Click 'Create Credentials' and choose 'API key'. A unique key will appear on your screen—copy this and keep it handy because you'll need it in the next steps.

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Step 4

Add Google Maps to your Make scenario

Now switch over to your Make account and open the automation workflow where you want to use Google Maps. Click to add a new module and select Google Maps from the list of available apps. Inside this module, you'll see a button that says 'Create a Connection'—click it to begin linking Make with your Google Maps account.

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Step 5

Connect Make to Google Maps

In the connection form that appears, give your connection a name so you can recognize it later. Then paste the API key you copied from Google Cloud Platform into the 'API Key' field. Click 'Save' to finish creating the connection. Once this is done, Make can now use Google Maps in your automations, and you're ready to start building your workflow.

Transform location data into intelligent insights with AI automation

Automate powerful workflows between OpenAI and Google Maps to generate intelligent location insights, optimize travel planning, validate addresses, and create contextual content—all without manual effort.

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AI-powered location intelligence

Transform raw Google Maps data into actionable insights using ChatGPT's natural language processing to analyze location trends, route patterns, and geographic information automatically.

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Automated travel planning and itinerary generation

Combine OpenAI's conversational AI with Google Maps to automatically create optimized travel routes, recommendations, and detailed itineraries based on user preferences and real-time location data.

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Intelligent address validation and enrichment

Use ChatGPT to interpret and standardize messy address inputs, then validate and enrich them with precise Google Maps geocoding and location details without manual intervention.

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Natural language location queries

Enable users to ask location-based questions in plain language through OpenAI, which are automatically converted into Google Maps API requests to retrieve distances, directions, and place information.

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FAQs

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By integrating OpenAI and Google Maps in Make, you can create powerful automated workflows such as generating AI-powered location descriptions, analyzing geographic data with natural language processing, creating personalized travel itineraries based on user preferences, or automatically generating detailed reports about locations using GPT models combined with real-time map data. For example, you could use ChatGPT to interpret customer requests and then automatically fetch relevant location information, directions, or place details from Google Maps, all without writing a single line of code.

There are numerous practical scenarios you can automate: 1) Customer service bots that provide location-based recommendations and directions using ChatGPT's conversational abilities and Google Maps data, 2) Automated content generation for real estate listings that combines property details with AI-generated descriptions and embedded map locations, 3) Travel planning assistants that use GPT-4 to understand trip preferences and Google Maps to suggest routes and destinations, 4) Business intelligence tools that analyze geographic customer data and generate insights using OpenAI's models, or 5) Voice-to-navigation systems using Whisper for speech recognition and Google Maps for routing. Make's visual interface allows you to connect these applications with drag-and-drop functionality.

No programming skills are required! Make provides a visual, no-code platform where you can integrate OpenAI and Google Maps through an intuitive drag-and-drop interface. You select the applications you want to connect, choose the specific actions (like 'Create a Chat Completion' in OpenAI or 'Get Directions' in Google Maps), and configure how data flows between them. Make handles all the technical complexity of API connections, authentication, and data formatting automatically. This means marketers, operations managers, entrepreneurs, and other non-technical users can create sophisticated AI-powered location-based automations in minutes rather than weeks of development time.

Make provides enterprise-grade infrastructure that ensures your OpenAI and Google Maps integrations run reliably at any scale. The platform includes automatic error handling, retry mechanisms if API calls fail, detailed execution logs for troubleshooting, and the ability to set up conditional logic to handle different scenarios. You can start with Make's free tier to test your workflows, then scale up as your needs grow without rebuilding anything. Make also keeps your integrations updated automatically when OpenAI releases new models (like GPT-4.1, o1, or o4) or when Google Maps updates its API, so your automations continue working. Plus, you can schedule workflows, trigger them via webhooks, or run them on-demand, giving you complete flexibility in how your AI-powered location services operate.