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Looker Studio
OpenAI (ChatGPT, Whisper)

Connect Looker Studio and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations

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

Get started free

Create a custom workflow

Transform your Looker Studio data into AI-powered insights, visuals, and narrations automatically. Connect Looker Studio reports to OpenAI (ChatGPT, Sora, DALL-E, Whisper) through Make to instantly generate executive summaries, create compelling graphics, and produce voice explanations—no manual work required. Turn dashboard updates into polished, multi-format content that communicates itself.

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.

Looker Studio
Trigger: New Request
OpenAI (ChatGPT, Whisper)
Action: Select an action
1. Select a trigger

  • Triggers when Looker Studio requests Make for new data.

2. Select an action

  • 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.

  • Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.

  • Deletes an existing conversation.

  • Deletes an existing model response.

  • Deletes a skill. This action cannot be undone.

  • Deletes a skill version. This action cannot be undone.

  • Deletes a vector store. This action cannot be undone.

  • Downloads a file from a container.

  • Downloads a skill as a ZIP file using its ID.

  • Downloads a skill version as a ZIP file.

  • Creates an edited or extended image given one or more source images and a prompt.

  • Generates a chat completion.

  • Qualifies whether the provided image or text(s) contains violent, hateful, illicit or adult content.

  • Generates a response.

  • Transcribes an audio to text.

  • Translates an audio to English.

  • Creates an embedding vector representing the input text.

  • Generates images using GPT Image.

  • Generates an audio file based on text input and settings.

  • Retrieves details of the specified batch.

  • Retrieves an existing model response.

  • Returns information about a specific skill by its ID.

  • Returns information about a specific skill version.

  • Performs an arbitrary authorized API call.

  • Generates text responses from prompts without requiring an account or connection.

  • Identifies information in a prompt's text and returns it as structured data.

  • Updates the default version pointer for a skill.

  • Uploads a file to be used across the OpenAI platform.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) as a trigger and Looker Studio as an action through Make's automation platform. When new data or reports become available in OpenAI (ChatGPT, Sora, DALL-E, Whisper), automatically trigger workflows that send this information to Looker Studio to generate executive summaries with ChatGPT, create visual elements with DALL-E, or produce voice-over explanations using Whisper. This trigger-action integration enables you to automatically feed data from your OpenAI (ChatGPT, Sora, DALL-E, Whisper) reports into Looker Studio's advanced artificial intelligence capabilities, eliminating manual data handling and enabling automated content generation based on your dashboard updates.

Add Asset Members
Adds members to a given Looker Studio asset.
Action
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
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How to set up Looker Studio and OpenAI (ChatGPT, Whisper) in 5 easy steps

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Step 1

Get authorization credentials from Google Cloud Platform

To connect Looker Studio with Make, you first need to set up authorization credentials through Google Cloud Platform. Log into the Google Cloud Platform console, go to 'APIs & Services', then click on 'Credentials'. This is where you'll create the special permissions that allow Make to securely access your Looker Studio data without needing your password.

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Step 2

Create your OAuth connection credentials

In the Credentials section, click 'CREATE CREDENTIALS' and select 'OAuth client ID' from the options. Fill in the required fields that appear, including the callback URI which should be: https://www.integromat.com/oauth/cb/google-data-studio. This callback URI is the address where Looker Studio will send confirmation after you grant permission for the connection.

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Step 3

Save your Client ID and Client Secret

After clicking 'Create', Google will display both a Client ID and a Client Secret on your screen. Copy both of these values immediately and store them in a safe place like a password manager. You'll need these credentials in the next steps to complete your connection in Make, and the Client Secret should be kept confidential as it acts like a password for your connection.

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Step 4

Add the Looker Studio module in Make

Log into your Make account and open the scenario where you want to use Looker Studio. Search for and add the Looker Studio module to your workflow. Once added, click the 'Create a connection' button to begin setting up the link between Make and Looker Studio.

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Step 5

Complete the connection setup

In the connection setup screen, give your connection a descriptive name like 'My Looker Studio Connection' so you can easily identify it later. Paste the Client ID and Client Secret that you saved earlier into the appropriate fields, then follow the on-screen instructions to authorize the connection. Once complete, you can start building automation workflows that use your Looker Studio data.

Transform your data analytics with AI-powered automation

Integrate Looker Studio with OpenAI to automatically generate insights, create natural language summaries, and transform complex data into clear narratives that engage every stakeholder.

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AI-powered report generation

Automatically generate natural language insights and summaries for your Looker Studio dashboards using ChatGPT's advanced language capabilities.

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Intelligent data visualization descriptions

Create automated, context-aware explanations of complex charts and metrics that make your Looker Studio reports accessible to all stakeholders.

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Dynamic dashboard content creation

Use OpenAI to automatically generate executive summaries, trend analyses, and recommendations based on your Looker Studio data in real-time.

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Automated alert narratives

Transform Looker Studio data anomalies and threshold triggers into clear, actionable narratives using GPT models for instant stakeholder communication.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

By integrating Looker Studio with OpenAI through Make, you can automatically generate intelligent insights, natural language summaries, and AI-powered explanations for your data visualizations. Make enables you to send data from Looker Studio to OpenAI's GPT models to create automated report narratives, generate executive summaries, or even ask questions about your data trends. This integration eliminates manual interpretation work and helps stakeholders understand complex data through clear, AI-generated explanations that complement your visual dashboards.

Make's visual automation platform allows you to create powerful no-code workflows between OpenAI and Looker Studio. You can automatically generate data commentary using GPT-4 when new reports are created, use ChatGPT to answer natural language questions about your Looker Studio metrics, create DALL-E generated custom graphics based on performance data, or even use Whisper to transcribe meeting discussions and integrate them with your reporting dashboards. Make's drag-and-drop interface means you can set up these sophisticated integrations in minutes without any programming knowledge.

Setting up integrations on Make is remarkably straightforward. The platform provides pre-built modules for both Looker Studio and OpenAI, allowing you to connect these applications in just a few clicks by authenticating your accounts. You can choose from existing templates or create custom workflows using Make's intuitive visual builder. Most users can have their first automation running within 15-30 minutes. Make also offers extensive documentation, video tutorials, and a supportive community to help you get started quickly, even if you're new to automation platforms.

Make eliminates the complexity, time, and ongoing maintenance costs associated with building custom API integrations. Instead of spending weeks writing code, managing API authentication, handling errors, and maintaining infrastructure, Make provides a ready-to-use solution that connects OpenAI and Looker Studio instantly. You get built-in error handling, automatic retry logic, and monitoring of your workflows through a visual dashboard. Plus, Make's free tier allows you to test integrations with 1,000 operations per month, making it risk-free to start. This means you can focus on deriving value from your data and AI insights rather than wrestling with technical implementation details.