---
title: Google Cloud Vision
slug: googlecloudvision
image: https://make-cxp-documentation.ams3.digitaloceanspaces.com/apps-center-icons/PREVIEW_googlecloudvision.png
createdAt: 2025-02-03T13:28:18.713Z
---

|   | With the Google Cloud Vision app in Make, you can run a localizer for object detection within an image and iterate the result array. |
| - | ------------------------------------------------------------------------------------------------------------------------------------ |

# Requirements

To use the Google Cloud Vision app in Make, you must have a [Google Cloud Vision AI account with billing enabled](https://cloud.google.com/vision).

# Connect Google Cloud Vision and Make

To get started, you must first create a connection between Google Cloud Vision and Make, allowing the two services to communicate.

To create the connection, you need to:

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[Create and configure a Google Cloud Platform project for Google Cloud Vision.](docId\:q9CTe6ZFbfmFAlkRxyrgs)&#x20;
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[Create the connection in Make](docId\:q9CTe6ZFbfmFAlkRxyrgs).
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## Create and configure a Google Cloud Platform project for Google Cloud Vision

Before you establish the connection in Make, you must create and configure a project in the Google Cloud Platform to obtain your API key.

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Your Google account must have Cloud Billing set up in order to enable the required APIs in your project. For information regarding how to create and manage Cloud Billing, see [Google's Manage your Cloud Billing account guide](https://cloud.google.com/billing/docs/how-to/manage-billing-account).
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### Create a Google Cloud Platform project for Google Cloud Vision

To create a Google Cloud Platform project:

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Log in to the [Google Cloud Platform](https://console.cloud.google.com/) using your Google credentials.
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On the welcome page, click **Create or select a project** > **New project**. If you already have a project, proceed to the [step 5](#).

::Image[]{src="https://api.archbee.com/api/optimize/yAufeXqD1oGWOPBNi5MAm-Oa9SL8PSb5oLdpaYe6goL-20250312-113144.png" size="70" width="626" height="189" position="flex-start" alt="Google Cloud Platofrm" showCaption="false"}
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Enter a **Project name** and select the **Location** for your project.
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Click **Create**.

![Select a project](https://api.archbee.com/api/optimize/yAufeXqD1oGWOPBNi5MAm-I7LwD3Eqxo8A1xGdNU00F-20250312-113236.png)
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In the top menu, check if your new project is selected in the **Select a project** dropdown. If not, select the project you just created.
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:::hint{type="info"}
To create a new project or work in the existing one, you need to have the `serviceusage.services.enable` permission. If you don’t have this permission, ask the Google Cloud Platform Project Owner or Project IAM Admin to grant it to you.
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### Enable APIs for Google Cloud Vision

To enable the required API:

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Open the left navigation menu and go to **APIs & Services** > **Library**.
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Search for the following API: **Cloud Vision API**.
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Click **Cloud Vision API**, then click **Enable**. If you see the **Manage** button instead of the **Enable** button, you can proceed to the next step: the API is already enabled.
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### Obtain your Google Cloud Vision API key

To obtain your API key:

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In the left sidebar, click **APIs & Services** > **Credentials**.
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Click **+ Create Credentials** > **API key**.
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Copy **Your API key** value shown and store it in a safe place.
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You will use this value in the **API Key** field in Make.

### Create the connection with Google Cloud Vision in Make

To create the connection:

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Log in to your Make account, add a Google Cloud Vision module to your scenario, and click **Create a connection**.
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Optional: In the **Connection name** field, enter a name for the connection.
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In the **API Key** field, enter the value you copied in the [Obtain your Google Cloud Vision API key section](docId\:q9CTe6ZFbfmFAlkRxyrgs)  above.
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Click **Sign in with Google**.
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If prompted, authenticate your account and confirm access.
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You've successfully created the connection and can now use the Google Cloud Vision app in your scenarios. If you want to make changes to your connection in the future, follow the steps [here](docId\:SO88FM6pkT0G-adKDDfzZ).

# Google Cloud Vision modules

After connecting to the Google Cloud Vision app, you can use the following types of modules to build your scenarios.

:::ExpandableHeading
**Images**

- Run Handwriting Detection within an Image
- Run Label Detection within an Image
- Run Text Detection (OCR) within an Image
- Run Localizer for Object Detection within an Image and Iterate the Result Array
- Run Landmark Detection within an Image and Iterate the Results
- Run Face Detection within an Image and Iterate the Result Array
- Compute Image Dominate Colors and Iterate the Result Array
- Detect Potentially Unsafe or Undesirable Content within an Image
- Run Text Detection (OCR) within a File and Iterate the Result Array
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# Templates

You can look for Google Cloud Vision templates in [Make's template gallery](https://www.make.com/en/templates), where you'll find thousands of pre-created scenarios.

# Google Cloud Vision resources

- [Google Cloud Vision API documentation](https://cloud.google.com/vision/docs/reference/rest)

