AVCLabs Video Blur AI V4.0.0 Released: New AI Keyword Tracking, Image Blurring, and Faster Performance

New York, September 30, 2026 - AVCLabs, a pioneering developer of AI-powered software solutions, is proud to announce the official release of AVCLabs Video Blur AI V4.0.0. It introduces a range of powerful features, including AI-based keyword tracking, new image-blurring function, customizable face-offset tracking, and a redesigned user interface. Following the release of V4.0.0, versions V4.0.1 and V4.0.2 further refined the editing experience, incorporating various performance optimizations and bug fixes. These updates represent a significant leap forward for AVCLabs Video Blur AI, granting users greater control and flexibility in blurring, tracking, and safeguarding sensitive information.

What's New in AVCLabs Video Blur AI V4.0.0?

AI-Powered Keyword Detection for Automatic Object Tracking

To streamline complex video censoring workflows, AVCLabs Video Blur AI V4.0.0 introduces a Smart Keyword Detection and Tracking feature. Eliminating the need for tedious manual mask drawing, users can now simply enter natural English text prompts (such as "girl", "person", or "car") to automatically identify and track specific subjects across video frames. Users can tailor the output to their specific needs—whether by fine-tuning mask expansion and edge feathering for custom blurring, or leveraging AI-powered object erasing to completely remove target subjects from the frame.

Furthermore, AVCLabs Video Blur AI V4.0.0 allows for the creation of separate keyword tracks for different objects on the same timeline, giving creators comprehensive control over a sophisticated, automated video privacy protection workflow.

Dedicated Privacy Protection Solutions for Photo

In addition to video privacy protection, AVCLabs Video Blur AI V4.0.0 introduces a powerful, all-in-one image blur and anonymization mode. Users can now import various formats of static images—including common formats JPG, PNG, WEBP, GIF, BMP, TIFF and high-efficiency or professional RAW formats—for rapid, privacy-focused image editing.

This image blurring mode integrates the core functions of AVCLabs Video Blur AI, covering features such as Face Blur, License Plate Blur, Background Blur, Fixed Position Blur, and Manual Edit Blur. By incorporating these AI Blur features into image processing, AVCLabs Video Blur AI provides a more comprehensive solution for protecting the privacy of video and image content.

New Face Offset Controls Enable More Flexible Privacy Protection

AVCLabs Video Blur AI V4.0.0 introduces a new "Offset Follow" option within its "Face Blur" feature, offering users greater flexibility in controlling the position and size of the blur mask. Instead of being restricted to the boundaries of a detected face, users can freely adjust the horizontal and vertical offsets, as well as the width and height, to precisely cover specific areas surrounding the face.

This feature is particularly useful when sensitive information, such as an identification badge, is located near a face rather than on the face itself. The masked area automatically tracks the movement of the face throughout the video, ensuring the target area remains covered without the need for manual keyframing or frame-by-frame adjustments.

Enhanced Face Detection, Selection, and Blurring Controls

AVCLabs Video Blur AI V4.0.0 introduces more flexible settings for face scanning, allowing users to adjust detection accuracy, recognition accuracy, minimum face area, and face buffer presets. Additionally, this version adds a face duplication function, offering 3 matching modes: Strict, Standard, and Loose. It also supports manual merging of faces and can directly capture faces from video frames, making the selection and management of faces more efficient.

In version 4.0.1, AVCLabs has further expanded its face blurring functionality to blur the background using inverse selection. This feature does not blur the subject's face, but ensures that the subject remains in focus whilst smoothly blurring the rest of the scene.