BlurMe Introduces Keyframe Mode for Custom Blur, Enabling Motion Tracking in Video Redaction

SEOUL, South Korea - April 22, 2026 - PRLog -- BlurMe, an AI-powered visual privacy platform developed by Jarasoft, announced the release of Keyframe Mode, a new capability within its Custom Blur tool that allows users to track and blur moving objects across video timelines.

The feature introduces keyframe-based motion tracking to BlurMe's browser-based editor, enabling blur regions to follow objects as they move through a scene. This marks a shift from static blur placement to dynamic, timeline-based control.

With Keyframe Mode, users can define blur positions at specific points in a video, and BlurMe automatically generates smooth transitions between them. The result is consistent blur tracking for elements such as logos, screens, text, or identifying details that do not remain fixed in frame.

The release follows increased adoption of BlurMe across high-volume video environments, including deployments in more than 600 school districts, where real-world footage often involves movement, multiple subjects, and longer recording durations.

"Static blur works until something moves, which is almost always," said Julian Seo, CEO of BlurMe at Jarasoft. "We wanted to give users a simple way to adjust once and let the system carry that through the timeline, instead of constantly correcting it."

From Static Blur to Timeline-Based Control

Traditional video redaction tools require manual repositioning whenever a subject shifts position. This becomes impractical in footage involving motion or multiple points of interest.

Keyframe Mode introduces a timeline-based approach, allowing users to:

• Set blur positions at key moments
• Automatically interpolate movement between frames
• Maintain consistent anonymization without frame-by-frame edits

This reduces manual workload while improving accuracy in dynamic video scenarios.

Combining AI Detection with Manual Tracking

BlurMe's approach combines automated detection with manual control, allowing users to handle both predictable and unpredictable motion within the same workflow.

AI detection can automatically identify faces and sensitive objects across frames, while Keyframe Mode enables precise tracking of elements that require manual adjustment. This hybrid approach is particularly useful in real-world footage where multiple subjects and moving objects appear simultaneously.

Expanding BlurMe's Video Anonymization Capabilities

The addition of Keyframe Mode extends BlurMe's existing AI capabilities, enabling both automated and manual anonymization within a single system.

BlurMe is currently used in over 100 countries, with more than 2 million files processed across education, media, enterprise, and surveillance workflows.

About BlurMe

BlurMe is an AI-powered platform that enables automatic detection and anonymization of faces, license plates, vehicles, and sensitive visual content in images, videos, and CCTV footage.

Learn more about BlurMe:
https://www.blur.me/

See how Keyframe Mode works:
https://www.blur.me/blog/custom-blur-keyframe-mode/