Connect Image and Google Gemini AI integrations
Transform your visual workflows by connecting Image triggers with Google Gemini AI actions through Make—automatically process, analyze, and extract insights from every image that enters your system. Build powerful automation that generates descriptions, categorizes content, and extracts data from visual documents, all without manual intervention. Intelligent image processing works in the background, turning visual data into actionable results instantly.
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Build your Image and Google Gemini AI integrations.
Connect Google Gemini AI as a trigger and Image as an action through Make's automation platform to harness intelligent visual processing. When an image is received or detected, it automatically triggers a workflow that sends the image to Image, which then performs advanced analysis, content generation, or object recognition as the resulting action. This integration enables you to build automated workflows where Google Gemini AI acts as the trigger point and Image processes the visual data, whether you're generating alt text descriptions, extracting data from visual documents, or creating AI-powered image categorization systems. Set up Google Gemini AI triggers that activate Image actions, transforming how you handle image processing with artificial intelligence.
Converts an image into another format.
Creates a new file search store.
Deletes a file from a selected files search store.
Deletes a file search store.
Returns basic information about an image (size, type and the like).
Extracts structured data from text or files.
Generates a response for the provided input.
Generates a video.
Generates an image.
Popular Image and Google Gemini AI workflows.
Looking to get more out of Image and Google Gemini AI? With Make you can visually integrate Image and Google Gemini AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup Image and Google Gemini AI in 5 easy steps
Set up a new project in Google Cloud Platform
Log into Google Cloud Platform and create a new project by clicking 'Create or select a project' followed by 'New project'. Give your project a meaningful name and select a location, then click 'Create'. This project acts as the foundation for connecting Google Gemini AI to Make.
Confirm your project is active
After creating your project, check the dropdown menu at the top of the Google Cloud Platform page to make sure your new project is selected. If it's not currently active, use the dropdown to choose the project you just created.
Generate your API key in Google AI Studio
Log into Google AI Studio and click on 'Get API key', then select 'Create API key'. Choose your existing Google Cloud project from the list and click 'Create API key in existing project'. Copy the API key that appears and save it somewhere safe, as you'll need it for the next steps.
Add Google Gemini AI to your Make scenario
Open Make and either create a new scenario or open an existing one. Add a Google Gemini AI module to your scenario. When prompted, click on 'Create a connection' to start linking Google Gemini AI with Make.
Complete the connection in Make
Give your connection a name that you'll recognize later, then paste the API key you copied from Google AI Studio into the 'API Key' field. Click 'Save' to finalize the connection. If Make asks you to authenticate, follow the on-screen instructions to complete the setup.
AI-powered image automation with Image and Google Gemini AI integration
Optimize your workflow by connecting Image and Google Gemini AI through Make. Automate image analysis, content moderation, text extraction, and intelligent categorization.
Automatically process and analyze images using Google Gemini AI to generate detailed descriptions, captions, or metadata without manual intervention.
Leverage Gemini's vision capabilities to automatically review and classify image content for compliance, safety, or quality control purposes.
Extract and convert text from images using Gemini's OCR capabilities and route the data to other applications in your workflow.
Automatically tag, categorize, and organize images based on their visual content using Gemini's understanding of context and objects.
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