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make.com Scenarios

Integrating Mindee in make.com scenarios.

Only use the verified Mindee V2 app.

Community apps only work for Mindee V1.

Before You Start

When integrating Mindee using Make you'll need a file input module.

This includes, but is not limited to:

  • email

  • drive providers: Google Drive, MS OneDrive, DropBox, etc

  • remote servers: URL/HTTP, S3, FTP, etc

  • chat: Slack, Discord, etc

In the Make documentation, take a look at the section: Working with files

Add Mindee to a Make.com Scenario

You can use the Mindee app in any make.com scenario.

When adding a module, search for "mindee" and select Mindee V2 verified:

add Mindee V2 to make.com

Next, choose the "Extract Document Data" action:

Selecting "Enqueue and Retrieve an Inference" in make.com scenario

Once you have the "Extract Document Data" module in your scenario, you'll need to connect it to one of your Manage API Keys.

For this, click on the "Create a connection" button:

opening the Mindee V2 connection creation in make.com

In the Create a connection dialog box, fill in the following information:

  • A name for your connection, it should be in the format: MindeeV2- + your API key's name

Finish by clicking "Save".

mindee v2 connection info in make.com

Now you can specify which model to use. For this click on "Search Model":

opening the search model for mindee v2 in make.com

In the dialog window, you'll be able to enter a search string.

Enter in the name of the model you want to use and click "OK".

search for Mindee v2 model in make.com

If there is only one match to your search term, the model ID will be added.

If there are several matches to your search, choose the correct one from the list:

choosing a Mindee v2 model in make.com

Click on "Save".

Do not fill in the "File" information in the Mindee V2 module.

This is done automatically by connecting an appropriate module.

Next Steps

Now that you have Mindee integrated, you can use the results in any Make action.

Some example workflows:

  • Save the raw structured data (JSON) to a drive like Google Drive or MS OneDrive

  • Map fields to a table format like CSV, MS Excel, or Google Sheets

  • Use extracted fields to fill in:

    • CRMs like Salesforce or HubSpot

    • online documents like Notion, MS Word, or Google Docs

  • etc

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