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Make AI Content Extractor
Google Sheets

Connect Make AI Content Extractor and Google Sheets

Explore ready-made Make AI Content Extractor and Google Sheets templates and start automating in minutes.

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Create a custom workflow

Integrate Make AI Content Extractor with Google Sheets and automate the work that moves between them — no code required.

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.

Google Sheets
Trigger: Perform a Function
Make AI Content Extractor
Action: Select an action
1. Select a trigger

  • Receives data from the MAKE_FUNCTION or INTEGROMAT functions used in a sheet. Please note, the Sheets Add-On is required.

  • Triggers when a cell is updated. Watches only changes made in Google Sheet app. Sheets Add-On required.

  • Triggers when a new row is added.

2. Select an action

  • Describes an image in detail.

  • Extracts the details from a receipt.

  • Extracts the details from an invoice.

  • Generates a one-sentence caption describing an image’s content.

  • Generates up to 10 captions describing different parts of an image. Each caption will be a separate bundle and processed individually in the rest of the scenario.

  • Transcribes an audio file.

  • Translates an audio file to English.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Make AI Content Extractor and Google Sheets.

Add a Conditional Format Rule
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Action
Add a Row
Appends a new row to the bottom of the table.
Action
Add a Sheet
Adds a new sheet.
Action
Bulk Add Rows (Advanced)
Appends multiple rows to the bottom of the table.
Action
Bulk Update Rows (Advanced)
Updates multiple rows.
Action
Clear a Cell
Clears a specific cell.
Action
Clear a Row
Clears values from a specific row.
Action
Clear Values from a Range
Clears a specified range of values from a spreadsheet.
Action
Copy a Sheet
Copies a sheet to another spreadsheet.
Action
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Connect Make AI Content Extractor and Google Sheets with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

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This template automates the intake and screening of job applicants by combining Google Forms, Google Drive, and Verify (TailLR Made). When a candidate submits an application through Google Forms, the scenario locates and downloads the associated resume file from Google Drive, extracts the resume text, and analyzes it using Verify to identify potential fraud, inconsistencies, and risk indicators such as timeline gaps, unverifiable employers, or technology time travel. The analysis results are then recorded in Google Sheets, creating a structured log of applicants and verification outcomes. This template can be used as a standalone screening workflow or embedded into a larger hiring, recruiting operations, or compliance automation.

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Track Resumes received via Gmail and Verify Resumes for Fraud

Automatically capture resumes received by email, extract their contents, and analyze them for potential fraud or inconsistencies using Verify. This template helps recruiters track inbound resumes and surface risk signals early in the hiring process.

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Support

FAQs

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

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.