Skip to main content

Make Waves ’26 Step into AI’s glass box. Prague, 19–20 Oct.

Register now (opens in a new tab)
OpenAI (ChatGPT, Whisper)
Google Cloud Vision

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

Connect OpenAI's ChatGPT with Google Cloud Vision to harness AI-driven visual intelligence. This integration transforms how you process images and documents—automatically extracting text through OCR, analyzing visual content, and converting unstructured data into actionable insights.

Create no-code workflows that combine Google Cloud Vision's advanced image recognition with ChatGPT's natural language understanding to intelligently process, categorize, and enrich visual information at scale.

Get started free

Create a custom workflow

Automatically trigger Google Cloud Vision's powerful image analysis—from object detection to facial recognition—whenever OpenAI generates content through ChatGPT, DALL-E, Sora, or Whisper. Transform AI-generated images, conversations, and media into actionable visual intelligence through automation that connects content creation with advanced visual processing in one unified workflow.

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 Cloud Vision
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Detects potentially unsafe or undesirable content within an image.

  • Runs detection to extract handwriting from an image.

  • Detects and extracts information about entities within an image, across a broad group of categories.

  • Runs text detection / optical character recognition (OCR) to extract text from an image. If the image is a document, check the flag to optimize the detection for dense text and documents.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

When Google Cloud Vision acts as a trigger, it initiates automated workflows whenever specific events occur—such as generating new content, creating images, processing audio, or completing conversations. Once triggered, OpenAI (ChatGPT, Sora, DALL-E, Whisper) functions as the action by performing visual analysis tasks on the generated or provided images, including optical character recognition, object detection, label detection, and facial recognition. This integration enables workflows where OpenAI's content generation or processing capabilities automatically activate OpenAI (ChatGPT, Sora, DALL-E, Whisper)'s image analysis features, creating automation between AI content creation and visual intelligence processing.

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
Compute Image Dominant Colors and Iterate the Result Array
Computes and iterates an array of dominant colors wirthin an image.
Search
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
Load more

How to set up OpenAI (ChatGPT, Whisper) and Google Cloud Vision in 5 easy steps

Date

·

Duration

Step 1

Set up your Google Cloud project

Log into Google Cloud Platform with your Google account and create a new project by clicking 'Create or select a project' then 'New project'. Give your project a meaningful name that helps you remember what it's for, as this project will serve as the foundation for connecting Google Cloud Vision with Make.

Date

·

Duration

Step 2

Enable the Cloud Vision API

Navigate to 'APIs & Services' in the left menu, then click on 'Library' to access Google's available tools. Search for 'Cloud Vision API' and click the 'Enable' button to activate Google's image recognition capabilities for your project.

Date

·

Duration

Step 3

Create your API key

Go to the 'Credentials' section under 'APIs & Services' in the sidebar. Click '+ Create Credentials' and select 'API key' from the options to generate a unique code that will allow Make to securely access your Google Cloud Vision project.

Date

·

Duration

Step 4

Add Google Cloud Vision to your Make workflow

Log into Make and add a Google Cloud Vision module to your automation. When prompted, click 'Create a connection' to begin linking Make with your Google Cloud Vision project.

Date

·

Duration

Step 5

Connect using your API key

Paste the API key you created earlier into the 'API Key' field in Make. Click 'Sign in with Google' and confirm access when asked to complete the connection between the two platforms and start using Google Cloud Vision in your automations.

Automate visual intelligence with OpenAI and Google Cloud Vision

Integrate OpenAI and Google Cloud Vision to transform visual data into actionable insights. Automate document processing, extract text from images, and generate intelligent summaries.

Date

·

Duration

Intelligent document processing

Combine Google Cloud Vision's OCR capabilities with ChatGPT's natural language understanding to automatically extract and interpret text from images and documents.

Date

·

Duration

Automated data structuring

Transform unstructured visual data detected by Google Cloud Vision into organized, actionable information using ChatGPT's advanced text processing capabilities.

Date

·

Duration

Advanced image analysis

Leverage Google Cloud Vision's image recognition with ChatGPT's contextual analysis to generate comprehensive insights and summaries from visual content.

Date

·

Duration

Efficient content extraction

Automatically detect text, labels, and objects in images with Google Cloud Vision and use ChatGPT to categorize, summarize, or enrich the extracted data.

Popular OpenAI (ChatGPT, Whisper) and Google Cloud Vision workflows

Connect OpenAI (ChatGPT, Whisper) and Google Cloud Vision with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

AI

Detect text from Google Drive files and add structured data to Google Sheets using ChatGPT

Use this template to extract text from Google Drive files and convert it into structured data in Google Sheets using Google Cloud Vision and ChatGPT then update your sheet with the information.

Detect text from Google Drive files and add structured data to Google Sheets using ChatGPT
Use template

Support

FAQs

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

By connecting OpenAI and Google Cloud Vision on Make, you can create powerful automated workflows that combine visual recognition with AI-powered text generation. For example, Google Cloud Vision can detect objects, text, and scenes in images, then pass that data to OpenAI's GPT models to generate detailed descriptions, reports, or content. This eliminates manual processing and enables you to analyze thousands of images automatically, generate alt text for accessibility, create product descriptions from photos, or build intelligent content moderation systems.

The integration enables numerous practical applications: automatically generate SEO-optimized product descriptions by analyzing product images with Google Cloud Vision and creating compelling copy with ChatGPT; build content moderation systems that detect inappropriate images and generate detailed reports; create accessibility tools that extract text from images via OCR and summarize it using OpenAI; develop intelligent social media managers that analyze uploaded images and generate relevant captions and hashtags; or build document processing workflows that extract data from receipts, invoices, or forms and organize it into structured formats using GPT models.

No coding skills are required. Make provides a visual, drag-and-drop interface that allows you to connect OpenAI and Google Cloud Vision without writing a single line of code. You simply authenticate both applications, select the triggers and actions you want (like 'analyze image' from Google Cloud Vision followed by 'create completion' in OpenAI), and map the data between them. Make handles all the technical complexity, API calls, and data formatting automatically, making it accessible for marketers, business analysts, and anyone looking to automate their workflows.

Automating image analysis and AI-generated content through Make can dramatically reduce both time and costs. Tasks that would take hours manually—like analyzing product images and writing descriptions—can be completed in seconds. Companies typically save 10-20 hours per week on repetitive content creation tasks, translating to thousands of dollars in labor costs monthly. Additionally, Make's free tier includes 1,000 operations per month, allowing you to test the integration without upfront investment. As you scale, the cost per processed image remains minimal compared to hiring staff or manual processing, providing exceptional ROI for e-commerce businesses, marketing agencies, and content creators.