Connect OpenAI (ChatGPT, Sora, Whisper) and Google Maps integrations
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.
Triggers when a batch is completed.
Triggers when a video job is created.
Gets the details of a location by either input address or geocodes.
Provides elevation data for all locations on the surface of the earth, including depth locations on the ocean floor by input geographic coordinates
Returns an static image (PNG or JPG) of Google Map.
Gets the details of a timezone by geographical coordinates.
Performs an arbitrary authorized API call.
Provides travel distance and time for a matrix of origins and destinations.
Returns the most efficient routes when calculating directions.
Identifies the roads a vehicle was traveling along and provides additional metadata about those roads, such as speed limits.
Searches for place information using a variety of categories, including establishments, prominent points of interest, and geographic locations.
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Build your OpenAI (ChatGPT, Sora, Whisper) and Google Maps integrations.
When Google Maps triggers an automation, it activates OpenAI (ChatGPT, Sora, Whisper) actions automatically. For example, when ChatGPT generates location-based content, it triggers OpenAI (ChatGPT, Sora, Whisper) to update markers; when DALL-E creates custom map visualizations based on geographic data, it triggers corresponding OpenAI (ChatGPT, Sora, Whisper) updates; or when Whisper transcribes voice notes about specific places, it triggers OpenAI (ChatGPT, Sora, Whisper) to modify location information. This trigger-action integration enables automated workflows where OpenAI's AI outputs directly initiate OpenAI (ChatGPT, Sora, Whisper) operations, such as generating travel itineraries with ChatGPT that trigger the creation of mapped routes in OpenAI (ChatGPT, Sora, Whisper), or processing location data through OpenAI that triggers updates to OpenAI (ChatGPT, Sora, Whisper) markers and destinations.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Analyzes images according to specified instructions.
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.
Creates and executes a batch of API calls.
Creates a new skill.
Creates a new immutable skill version.
Deletes an existing conversation.
Deletes an existing model response.
Deletes a skill. This action cannot be undone.
Popular OpenAI (ChatGPT, Sora, Whisper) and Google Maps workflows.
Looking to get more out of OpenAI (ChatGPT, Sora, Whisper) and Google Maps? With Make you can visually integrate OpenAI (ChatGPT, Sora, Whisper) and Google Maps into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup OpenAI (ChatGPT, Sora, Whisper) and Google Maps in 5 easy steps
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.
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.
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.
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.
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.
Transform raw Google Maps data into actionable insights using ChatGPT's natural language processing to analyze location trends, route patterns, and geographic information automatically.
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.
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.
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.
FAQ
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.
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
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