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Person Pixelizer

Image Editing

AI-powered tool that automatically detects and pixelates people in images for privacy protection.

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At a Glance

Pricing

Free tier available

Free access to Person Pixelizer tool

Engagement

Available On

Windows
Android
iOS
Web
API

Resources

Websitellms.txt

Topics

Image EditingData ProtectionContent Generation

About Person Pixelizer

Person Pixelizer is an AI-powered image processing tool that automatically detects and pixelates people in photographs to protect privacy. The tool uses computer vision and machine learning algorithms to identify human figures in images and apply pixelation effects, making it useful for content creators, journalists, and anyone needing to anonymize individuals in their visual content.

  • Automatic Person Detection - Uses advanced computer vision algorithms to automatically identify and locate people within images without manual selection
  • Privacy-Focused Pixelation - Applies pixelation effects specifically to detected persons, preserving the rest of the image while protecting individual privacy
  • AI-Powered Processing - Leverages machine learning models trained for human detection to ensure accurate and reliable results
  • Simple Workflow - Upload an image and let the AI handle the detection and pixelation process automatically

To get started, simply upload your image to the Person Pixelizer tool. The AI will analyze the image, detect any people present, and apply pixelation to protect their identities. The processed image can then be downloaded for use in your projects, publications, or social media content where privacy protection is required.

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Pricing

FREE

Free Plan Available

Free access to Person Pixelizer tool

  • Automatic person detection
  • AI-powered pixelation
  • Image processing
View official pricing

Capabilities

Key Features

  • Automatic person detection
  • AI-powered pixelation
  • Privacy protection
  • Image processing
  • Computer vision
API Available

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Developer

Antal Zsiros

Antal Zsiros is a software engineer specializing in computer vision, augmented reality, and machine learning. He has developed adaptive license plate recognition engines with over 95% accuracy and led award-winning projects including eye gaze controlled POI search systems presented at CES 2019. His portfolio spans intelligent surveillance systems, sport performance analysis, and mobile image processing libraries across Android, iOS, and Windows platforms.

Read more about Antal Zsiros
WebsiteLinkedInX / Twitter
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