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Google Cloud Vision
OpenAI (ChatGPT, Whisper)

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

Combine Google Cloud Vision's advanced image recognition with OpenAI's sophisticated language processing to transform how you handle images and documents. This integration automatically extracts, analyzes, and structures visual data into actionable insights without manual effort.

From intelligent OCR and document processing to content enrichment and data standardization, this automated workflow bridges computer vision and natural language understanding, enabling you to process any image format and convert unstructured visual information into organized, database-ready outputs.

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Create a custom workflow

Transform images into intelligent insights by connecting Google Cloud Vision with OpenAI (ChatGPT, Sora, DALL-E, Whisper). Automatically detect labels, text, and objects in any image, then instantly trigger advanced AI processing for content generation, natural language analysis, and smart decision-making—all in one automated 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

OpenAI (ChatGPT, Sora, DALL-E, Whisper) acts as a trigger by detecting and analyzing images, extracting valuable insights such as labels, text, objects, and visual content data. When OpenAI (ChatGPT, Sora, DALL-E, Whisper) processes an image, it automatically initiates the workflow by sending the extracted data to Google Cloud Vision as an action. Google Cloud Vision then receives this visual data and performs advanced AI processing, including natural language processing, content generation, or further intelligent analysis based on the image insights provided by OpenAI (ChatGPT, Sora, DALL-E, Whisper)

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

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Step 1

Set up your project in Google Cloud Platform

Sign in to Google Cloud Platform and create a new project by giving it a name and choosing where to store it. Make sure your new project is selected in the dropdown menu at the top of the screen so you can work with it.

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Step 2

Enable the Cloud Vision API for your project

Open the navigation menu and go to the API Library under 'APIs & Services'. Search for 'Cloud Vision API' and click the Enable button to activate this service so it can be used with your project.

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Step 3

Create an API key for secure connection

Navigate to the Credentials section under 'APIs & Services' in the sidebar. Click on 'Create Credentials' and select 'API key' to generate a unique access code that will allow Make to communicate with Google Cloud Vision.

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Step 4

Store your API key in a safe place

Copy the API key that appears on your screen and save it somewhere secure like a password manager. You'll need to use this key in the next step to establish the connection in Make.

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Step 5

Connect Google Cloud Vision in Make

Log into Make and add a Google Cloud Vision module to your automation. Click 'Create a connection', give it a name, paste your API key into the designated field, and authenticate with Google to complete the setup.

Powerful AI-driven vision and language processing automation

Combine Google Cloud Vision's image recognition with OpenAI's intelligent processing to automatically extract, analyze, and transform visual content into actionable, structured data through automation.

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Transform images into actionable data

Automatically extract text from images and documents using Google Cloud Vision and convert it into structured, organized data with ChatGPT's intelligent processing.

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Intelligent document processing

Combine powerful OCR capabilities with AI-driven data interpretation to automatically categorize, summarize, and format extracted text without manual intervention.

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Automated data standardization

Convert unstructured text from images into consistent, database-ready formats by using ChatGPT to parse and structure Vision API outputs.

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Better content understanding

Go beyond text extraction by using ChatGPT to analyze, contextualize, and enrich the visual content detected by Google Cloud Vision.

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

Connect Google Cloud Vision and OpenAI (ChatGPT, Whisper) 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

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FAQs

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By connecting Google Cloud Vision with OpenAI through Make, you can create powerful automated workflows that first analyze images using Google's advanced vision AI to detect objects, text, faces, and labels, then send those results to OpenAI's GPT models for intelligent interpretation, content generation, or decision-making. For example, you can automatically extract text from images with Vision API and have ChatGPT summarize, translate, or categorize that content—all without writing a single line of code.

The integration enables numerous powerful use cases: automatically moderate user-uploaded images by detecting content with Vision API and using ChatGPT to generate appropriate responses; create accessible content by extracting image details with Vision and generating descriptive alt-text with GPT-4; build intelligent product cataloging systems that analyze product images and generate SEO-optimized descriptions; or develop customer service automation that processes uploaded photos and provides contextualized responses. Make's visual workflow builder lets you set up these complex automations in minutes.

No programming knowledge is required. Make provides a user-friendly, drag-and-drop interface that allows you to connect Google Cloud Vision and OpenAI with pre-built modules. You authenticate your accounts, select the actions you want (like 'Analyze Image' from Vision API or 'Create a Completion' from OpenAI), and map the data between them visually. Make handles all the complex API calls and data formatting in the background, making enterprise-level AI integration accessible to non-technical users.

Using Make to automate Google Cloud Vision and OpenAI integration is highly cost-effective compared to custom development. You eliminate development costs, reduce manual processing time, and only pay for the API calls you actually use from Google and OpenAI, plus Make's transparent operation-based pricing. Make offers a free tier to get started, allowing you to test and build your workflows before committing. The time saved through automation—processing hundreds or thousands of images automatically—typically provides ROI within the first month, while avoiding the expense of hiring developers or data entry staff.