✨ Anonymize faces and license plates in media with BlurIt
⚡ 127 views · ✨ AI & LLMs
Description
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?
Contact us at support@blurit.io,
or visit the BlurIt Documentation.
Happy Coding!
🔗 Nodes Used
HTTP Request, n8n Form Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File