Connect Google Cloud Vision and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations
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
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.
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.
Deletes an existing conversation.
Deletes an existing model response.
Deletes an existing video.
Downloads a file from a container.
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.
Generates a video using Sora models with a text prompt and optional image or video references.
Generates images using GPT Image or DALL-E.
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 video by its ID.
Performs an arbitrary authorized API call.
Send messages to a specified or newly created thread and execute it seamlessly. This action can send the arguments for your function calls to the specified URLs (POST HTTP method only). Works with Assistants v2.
Generates a video remix using an existing video and text prompt.
Generates a response based on a simple text prompt.
Identifies information in a prompt's text and returns it as structured data.
Uploads a file to be used across the OpenAI platform.
Retrieves a list of batches.
Lists input items.
Returns a list of video jobs.
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Build your Google Cloud Vision and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations.
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)
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.
Deletes an existing conversation.
Deletes an existing model response.
Deletes an existing video.
Detects potentially unsafe or undesirable content within an image.
Popular Google Cloud Vision and OpenAI (ChatGPT, Sora, DALL-E, Whisper) workflows.
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.
How to setup Google Cloud Vision and OpenAI (ChatGPT, Sora, DALL-E, Whisper) in 5 easy steps
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.
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.
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.
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.
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.
Automatically extract text from images and documents using Google Cloud Vision and convert it into structured, organized data with ChatGPT's intelligent processing.
Combine powerful OCR capabilities with AI-driven data interpretation to automatically categorize, summarize, and format extracted text without manual intervention.
Convert unstructured text from images into consistent, database-ready formats by using ChatGPT to parse and structure Vision API outputs.
Go beyond text extraction by using ChatGPT to analyze, contextualize, and enrich the visual content detected by Google Cloud Vision.
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