Anonymize faces and license plates in media with BlurIt

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n template demonstrates how to use Blurit to anonymize faces and/or license pla...

Best for

Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.formtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.merge, n8n-nodes-base.wait, n8n-nodes-base.switch

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Blurit.

Original n8n.io source

1.1 Workflow description

Title: Anonymize faces and license plates in media with BlurIt
Workflow name: Anonymize faces and license plates in media with BlurIt

This n8n template demonstrates how to use Blurit to anonymize faces and/or license plates in images or videos directly within your workflow.

Use cases include: automatically anonymizing dashcam videos, securing photos before sharing them publicly, or ensuring compliance with privacy regulations like GDPR.

How it works

The workflow starts with a Form Trigger where you can upload your image or video file.
An HTTP Request node authenticates with the BlurIt API using your Client ID and Secret.
The file is then uploaded to BlurIt via an HTTP Request to create a new anonymization task.
A polling loop checks the task status until it succeeds.
Once complete, the anonymized media is retrieved and saved using a Write Binary File node.

How to use

Replace the placeholder credentials in the Set Auth Config node with your BlurIt Client ID and Secret (found in your BlurIt Developer Dashboard).
Execute the workflow, open the provided form link, and upload an image or video.
The anonymized file will be written to your chosen output directory (or you can adapt the workflow to upload to cloud storage).

Requirements

A BlurIt account and valid API credentials (Client ID & Secret).
A running instance of n8n (cloud or self-hosted).
(Optional) Access to a shared folder or cloud storage service if you want to automate file delivery.

Need Help?

Happy Coding!

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Set Auth Config

Type / Role: n8n-nodes-base.set - set
Config choices: Version 2

Block 2 - Auth Get Token

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 2

Block 3 - Upload Input File

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 1

Block 4 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Create Blurit Task

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 10 - Get Task Status

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 11 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 12 - Get Result File

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Anonymize faces and license plates in media with BlurIt
Complexity	advanced
Nodes	16
Categories	Multimodal AI
Author	Blurit
Published	12 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8535/8535.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Multimodal AI workflows

Frequently asked questions

What does Anonymize faces and license plates in media with BlurIt do?

This n8n template demonstrates how to use Blurit to anonymize faces and/or license pla...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Multimodal AI use case.

Blurit

1 workflow

Nodes

n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.formtrigger n8n-nodes-base.stickynote n8n-nodes-base.merge n8n-nodes-base.wait n8n-nodes-base.switch

Complexity

advanced

Published 12 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8535/8535.json

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Anonymize faces and license plates in media with BlurIt

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

This n8n template demonstrates how to use Blurit to anonymize faces and/or license plates in images or videos directly within your workflow.

How it works

How to use

Requirements

Need Help?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Set Auth Config

Block 2 - Auth Get Token

Block 3 - Upload Input File

Block 4 - Sticky Note

Block 5 - Sticky Note1

Block 6 - Create Blurit Task

Block 7 - Merge

Block 8 - Sticky Note2

Block 9 - Wait

Block 10 - Get Task Status

Block 11 - Switch

Block 12 - Get Result File

Block 13 - Sticky Note3

Block 14 - Sticky Note4

Block 15 - Sticky Note5

Block 16 - Sticky Note6

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions