Connect Google Gemini AI and Airtable integrations

Transform AI-generated insights into organized data by connecting Google Gemini AI and Airtable through Make. Automatically capture and populate your Airtable bases with natural language processing results in real-time, eliminating manual data entry and keeping your databases enriched with the latest AI intelligence.

Action
Select an action...
Google Gemini AI

Creates a new file search store.

Google Gemini AI

Deletes a file from a selected files search store.

Google Gemini AI

Deletes a file search store.

Google Gemini AI

Extracts structured data from text or files.

Google Gemini AI

Generates an image.

Google Gemini AI

Generates a response for the provided input.

Google Gemini AI

Generates a video.

Google Gemini AI

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

Google Gemini AI

Retrieves details about a file search store.

Google Gemini AI

Performs an arbitrary authorized API call.

Google Gemini AI

Generates a response based on a simple text prompt.

Google Gemini AI

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

Google Gemini AI
Airtable
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Action
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Airtable

Deletes multiple records.

Airtable

Creates a new record in Airtable.

Airtable

Deletes a record by its ID.

Airtable

Retrieves a single record by its ID.

Airtable

Performs an arbitrary authorized API call.

Airtable

Updates a record by its ID.

Airtable

Creates new or updates an existing record.

Airtable

Сreates multiple records.

Airtable

Updates multiple existing records.

Airtable

Upserts multiple records.

Airtable

Searches for specific records or returns all records.

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Build your Google Gemini AI and Airtable integrations.

Connect Airtable as a trigger and Google Gemini AI as an action through Make's automation platform to improve your workflow. When Airtable generates or processes information, it acts as the trigger that initiates your automation scenario. This trigger automatically sends the AI-generated results, insights, or analyzed content to Google Gemini AI, where the action occurs by updating records, populating specific fields, or creating new entries in your database. The integration ensures that outputs from Airtable's natural language processing capabilities flow directly into your Google Gemini AI bases without manual intervention, keeping your data current and enriched in real-time.

Airtable
Bulk Create Records (advanced)

Сreates multiple records.

Search
Airtable
Bulk Delete Records (advanced)

Deletes multiple records.

Action
Airtable
Bulk Update Records (advanced)

Updates multiple existing records.

Search
Airtable
Bulk Upsert Records (advanced)

Upserts multiple records.

Search
Airtable
Create a Record

Creates a new record in Airtable.

Action
Google Gemini AI
Create a file search store

Creates a new file search store.

Action
Airtable
Delete a Record

Deletes a record by its ID.

Action
Google Gemini AI
Delete a file in a file search store

Deletes a file from a selected files search store.

Action
Google Gemini AI
Delete a file search store

Deletes a file search store.

Action

Popular Google Gemini AI and Airtable workflows.

Looking to get more out of Google Gemini AI and Airtable? With Make you can visually integrate Google Gemini AI and Airtable into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.

How to setup Google Gemini AI and Airtable in 5 easy steps

  • 1

    Add your app module in Make

    Log into your Make account and open the scenario where you want to work. Add the module for the app you're connecting, such as Airtable or Google Gemini AI. This module is where you'll create the link between Make and your chosen application.

  • 2

    Start creating a new connection

    In your module settings, find and click the 'Add' button next to the Connection field. This opens the connection setup screen where you can choose how you want Make to communicate with your app securely.

  • 3

    Choose your authentication method and name it

    Select the connection type that works for you—OAuth for a quick login or API Key/Personal Access Token for more control. Give your connection a memorable name so you can identify it when working with multiple connections later.

  • 4

    Get your access credentials from the app

    Depending on your app, obtain the necessary credentials. For Airtable with Personal Access Token, go to Developer hub in your profile and create a new token with the permissions you need. For Google Gemini AI, create an API key in Google AI Studio by selecting your Google Cloud project. Copy these credentials immediately and store them safely.

  • 5

    Complete the connection in Make

    Return to Make and paste your credentials into the appropriate field in your module. Click Save to finalize the connection. Your app is now connected and ready to use in your automation workflows.

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    Automate your database with Google Gemini AI and Airtable

    Automate content generation, enrich data with AI insights, and improve workflows by integrating Google Gemini AI with Airtable. Generate translations, custom scripts, and personalized content at scale.

    Automated content generation for database records

    Automatically generate descriptions, summaries, or creative content for Airtable records using Gemini AI, eliminating manual writing tasks and ensuring consistent quality across your database.

    Intelligent data enrichment and analysis

    Improve Airtable entries with AI-powered insights, translations, or categorizations by processing existing data through Gemini and updating records automatically.

    Smart code generation for Airtable automations

    Use Gemini to generate custom scripts and formulas for Airtable based on natural language requirements, simplifying complex database configurations without deep technical knowledge.

    Automated multi-language content management

    Instantly translate Airtable content across multiple languages using Gemini AI, enabling management of global databases and multilingual workflows.

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    Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.

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