Sighthound Redactor

Video Redaction Software

The advent of GDPR has underlined that privacy matters. Redactor blurs faces and license plates in videos automatically and enables human editing of any other identifiable information. Available as a plug-in for cloud services, or as a stand-alone product for Linux or Windows servers.

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Introducing Sighthound Redactor 3.0

For desktop, client-server or cloud, the latest version of Sighthound Redactor adds more classes of automated object detection to reduce manual intervention in video redaction. In addition to finding faces, Redactor 3.0 detects people, cars, trucks, buses, motorcycles and license plates.

Automated Redaction

Redactor blurs faces and license plates in videos automatically with a single click. Additionally, allows human editing of any other identifiable information.

Multiple Detection Types

Advance computer vision built in. More than just faces; Detect people, vehicles, and license plates to automatically redact or box with minimal effort.

Redaction Type

Beyond standard pixilation and blur, Redactor detects objects and provides ability to "Outline", "Fill", "Mosaic", "Blur", or "Pixelate" any detection.

Audio Redaction

Redact audio with a simple intuitive audio waveform. Allowing "mute" or "beep" of sensitive audio information.

Manual Detection with Tracking

Detect and follow the location of an object from frame to frame throughout the video as they leave and enter the frame. Greatly minimizing the margin of error often created by manual detection.

Small Object Detection

Small object detection is very difficult, but Sighthound Redactor is powered by the platform. The most robust computer vision platform on the market.

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Faster Processing

Takes advantage of available nVidia GPU or Intel CPU chips to accelerate deep-learning algorithms.

Redactor Timings - Classes

Redactor Timings - Faces

More Features

Do more with Redactor 3.0. Below is a comparison to the prior version.

2.0 3.0
Face Redaction
Person Redaction
Vehicle Redaction
License Plate Redaction
Small Object Redaction
Audio Redaction
Manual Redaction

Deployment Environments

Redactor 3.0 can be deployed on Windows 10 running desktop or client-server architectures, on Linux Ubuntu 16.04 running on a client-server architecture, or on your own cloud service provider. Accelerated for Intel chipsets.



Client Server

Public Surveillance Video

Automatically blur faces and license plates in street scenes and store security footage.

Broadcast Media

When time is of the essence, remove all identifiable face information from broadcast footage quickly.


Security video and staff training video needs to protect patient privacy. A tool so easy anyone can use it.

Frequently Asked Questions

Minimum System Requirements

  • Windows 7 or newer, 64 bit
  • Intel i3 processor or higher
  • 4GB RAM, or 1GB per available processor core
  • Screen resolution of 1280 x 768 or higher
  • Recent version of Chrome, FireFox, Edge, or IE 10+ (users of Client/Server only)

The application has been optimized to efficiently scale in a multicore environment. For best performance, particularly when working with long videos, a 16+ core system and a gig of memory per core is recommended.

Supported Audio/Video Codecs

The redactor currently supports containers with h264, mpeg-4, VP8, VP9, mpeg1video, mpeg2video, msvideo1 video; and AAC, MP1, MP2, MP3, PCM audio.