Connect OpenAI (ChatGPT, Sora, Whisper) and Google Cloud Vision integrations
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.
Triggers when a batch is completed.
Triggers when a video job is created.
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.
Computes and iterates an array of dominant colors wirthin an image.
Detects and extracts multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. One face in the image produces one record in the result array.
Detection identifies landmarks in an image. One landmark in the image produces one record in the result array.
Object localization identifies multiple objects in an image and provides info for each object in the image. One object in the image produces one record in the result array.
Runs text detection / optical character recognition (OCR) to extract text from a PDF/TIFF file. One page in the file produces one record in the result array.
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Build your OpenAI (ChatGPT, Sora, Whisper) and Google Cloud Vision integrations.
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, 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, Whisper)'s image analysis features, creating automation between AI content creation and visual intelligence processing.
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.
Computes and iterates an array of dominant colors wirthin an image.
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.
Popular OpenAI (ChatGPT, Sora, Whisper) and Google Cloud Vision workflows.
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.
How to setup OpenAI (ChatGPT, Sora, Whisper) and Google Cloud Vision in 5 easy steps
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.
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.
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.
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.
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.
Combine Google Cloud Vision's OCR capabilities with ChatGPT's natural language understanding to automatically extract and interpret text from images and documents.
Transform unstructured visual data detected by Google Cloud Vision into organized, actionable information using ChatGPT's advanced text processing capabilities.
Leverage Google Cloud Vision's image recognition with ChatGPT's contextual analysis to generate comprehensive insights and summaries from visual content.
Automatically detect text, labels, and objects in images with Google Cloud Vision and use ChatGPT to categorize, summarize, or enrich the extracted data.
FAQ
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.
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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