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OneDrive
Google Gemini AI

Connect OneDrive and Google Gemini AI integrations

Explore ready-made OneDrive and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Automatically transform your OneDrive files into actionable intelligence by connecting them to Google Gemini AI through Make—no manual work required. Every time a file is added or updated in OneDrive, Google Gemini AI instantly analyzes, summarizes, and extracts powerful insights, turning your cloud storage into a smart, self-operating knowledge engine

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.

OneDrive
Trigger: Watch Files
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when you create or update a file in your drive.

  • Triggers when a file or folder is created or updated.

2. Select an action

  • Creates a new file search store.

  • Deletes a file from a selected files search store.

  • Deletes a file search store.

  • Extracts structured data from text or files.

  • Generates a response for the provided input.

  • Generates a video using the general purpose Gemini model family.

  • Generates a video using the Veo models.

  • Generates an image using Gemini's image generation capabilities.

  • Generates an image using the imagen models.

  • Generate vector representations (embeddings) for the text or file you provide.

  • Generate high-quality, stereo audio from text prompts or from images.

  • Generates an audio file based on text input and settings.

  • Returns detailed information about a file in a file search store.

  • Retrieves details about a file search store.

  • Retrieves the full details of a single interaction (e.g. from a deep research agent).

  • Performs an arbitrary authorized API call.

  • Runs a deep research agent by Gemini.

  • Generates text responses from prompts without requiring an account or connection.

  • Uploads a file so it can be used in the completions or in file search stores.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect Google Gemini AI and OneDrive through Make's integration platform to create automated workflows where Google Gemini AI acts as the trigger and OneDrive performs the action. When files are added or modified in Google Gemini AI, this trigger automatically initiates the workflow, sending the stored files or documents to OneDrive as an action for content analysis, smart summary generation, or AI-powered insights. This integration allows you to automatically feed files from Google Gemini AI to OneDrive for processing without manual intervention, enabling automation between your cloud storage and artificial intelligence capabilities

Copy a File
Copies a file into new folder location.
Action
Create a file search store
Creates a new file search store.
Action
Create a Folder
Creates a new folder.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Delete a File/Folder
Deletes a file or folder.
Action
Download a File
Downloads a specified file.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
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How to set up OneDrive and Google Gemini AI in 5 easy steps

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Step 1

Add your app module in Make

Log into your Make account and open the scenario where you want to create your automation. Find and add the module for the app you want to connect—either OneDrive or Google Gemini AI. Once added, you'll see a button to create a connection, which starts the setup process.

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Step 2

Set up a Google Cloud project (for Gemini AI)

If you're connecting Google Gemini AI, you'll need to create a project in Google Cloud Platform first. Log in with your Google account, click on 'Create or select a project,' then choose 'New project.' Give it a name you'll remember and select a location, then click 'Create' to set up your project.

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Step 3

Get your API key from Google AI Studio

Navigate to Google AI Studio and log in with your Google credentials. Click the 'Get API key' button, then select 'Create API key.' Choose the Google Cloud project you just created and click 'Create API key in existing project.' Copy the key that appears and save it securely—you'll need it for the next step.

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Step 4

Create the connection in Make

Go back to your Make scenario and click 'Create a connection' on your module. You can give your connection a descriptive name to help you identify it later. For Google Gemini AI, paste the API key you saved earlier into the designated field. For OneDrive, Make will guide you through a straightforward authentication process.

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Step 5

Save and complete authentication

Click the 'Save' button to finalize your connection. If you're connecting OneDrive, you'll be prompted to sign in to your Microsoft account and grant Make permission to access your files. Once authentication is complete, your connection is ready and you can start building your automation workflow.

Transform your OneDrive with AI-powered automation using Google Gemini AI

Create powerful automation by connecting OneDrive and Google Gemini AI. Automatically analyze documents, generate intelligent content, organize files, translate materials, and extract data.

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Automated document analysis and insights

Automatically analyze OneDrive documents with Gemini AI to extract key insights, summaries, and actionable information without manual review.

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Intelligent content generation from cloud storage

Use files stored in OneDrive as context for Gemini AI to generate relevant content, reports, or responses based on your existing documents.

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Smart file organization and tagging

Use Gemini AI to automatically categorize, tag, and organize OneDrive files based on their content for improved searchability and management.

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Automated document translation and localization

Translate documents stored in OneDrive using Gemini AI's multilingual capabilities and save translated versions back to your cloud storage.

Support

FAQs

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

By integrating OneDrive with Google Gemini AI through Make, you can automatically process documents stored in your OneDrive. For example, you can extract key information from reports, generate summaries of lengthy documents, translate files into multiple languages, or create content based on templates. Make handles the connection between both services, so whenever a new file is added to a specific OneDrive folder, Gemini AI can automatically analyze it and save the results back to OneDrive—all without manual intervention.

The integration enables powerful content automation workflows. You can automatically generate marketing copy, create product descriptions from specification sheets, draft email responses based on documents, write code documentation, or transform raw data files into formatted reports. Upload your source materials to OneDrive, and Make will trigger Google Gemini AI to process them according to your specifications, then save the generated content back to your OneDrive folders, creating a complete content production pipeline.

Not at all! Make's visual, no-code platform makes it straightforward to connect OneDrive and Google Gemini AI. You just need to authenticate both services once, then use Make's drag-and-drop interface to create your workflow. Make provides pre-built modules for both applications, so you can select triggers (like 'New File in OneDrive'), actions (like 'Generate Text with Gemini'), and map data between them using an intuitive interface. You can have your first automation running in minutes, even without any programming knowledge.

Absolutely! This integration is perfect for document analysis at scale. Google Gemini AI can process multiple files from your OneDrive, extracting insights, categorizing content, identifying key themes, or answering specific questions about your documents. Make can orchestrate workflows that batch-process entire folders, apply consistent analysis across all files, and organize results systematically. This means you can transform hundreds of unstructured documents into actionable insights, searchable databases, or organized summaries—all automated through Make's powerful integration capabilities.