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Video fingerprinting

Learn more about the advanced video fingerprinting technology developed by WebKyte and how it enables fast, accurate, and scalable video recognition

Video fingerprinting explained

WebKyte Video Fingerprint is a compact representation of a video that contains a digital description of selected frames. It’s a small file created from a video, where each fingerprint is unique to the original video.

Creating a video fingerprint

Generation of video fingerprints is conducted during a multi-step process that includes the detection and extraction of key video frames and encoding of their visual features to the binary representation. It’s a completely secure process that can be done without sharing original video files.

Video fingerprints are irreversible to the original files and cannot be identified without metadata.

When matched with other fingerprints, it enables rapid identification of copies of the video or copies of its separate parts.

Where video fingerprinting can be used

Explore the varied applications of video fingerprinting, technology transforming the operations of video enterprises

Video content recognition and moderation

Identify copyright, adult, and criminal content among user-generated materials in minutes by matching video fingerprints

Live content recognition

Identify live streams in real-time including live broadcasts, sports, concerts, etc.

Copyright and intellectual property defense

Detect illegal copies on the spot to prevent unauthorized distribution and enhance collaborations with rightsholders and creators through innovative fingerprinting methods

Digital Rights Management (DRM)

Ensure that only users with the appropriate rights can access protected materials by associating video fingerprints with legally authorized copies

User-generated content filtering

Improve user experience by preventing duplicate uploads, providing high-quality recommendations, and becoming more creators-friendly

Stopping the spread of fake videos

Prevent the spread of fake videos across a platform by fingerprinting an original video and quickly identifying and flagging duplicates

Regulatory compliance

Meet international standards such as Article 17 EU, Digital Services Act EU, and UK Online Safety Bill with video fingerprinting ensuring compliance.

User experience optimization

Improve the user interface by filtering out duplicates and delivering customized recommendations, leading to a more creator-focused platform

Media monetization and analytics

Provide precise, comprehensive analytics for online publishers, ensuring clear and accurate revenue allocation

Targeted advertising

Enhance ad performance by aligning ads with relevant videos, increasing advertiser satisfaction and ad load

Video fingerprinting in action

Video fingerprinting technology has been proven to be highly effective for automating mass-scale video identification, filtering UGC, and ensuring compliance with copyright regulations.

Precise video matching

By using video fingerprints instead of video files, the process of content matching becomes significantly faster, delivering real-time results with near-zero false positives.

High accuracy

The usage of video fingerprints makes the probability of false positive results
is nearly zero.

Built for scale

Video fingerprinting technology excels at handling large volumes of video materials. It’s easier and faster to store and process compact representations of videos when it comes to massive amounts of data.

Secure by design

Video fingerprints are irreversible to the original files providing the highest level of content security. It’s impossible to identify the content without metadata.


Automation of content recognition eliminates the need for extensive teams of analysts. A single content security professional can manage large amounts of content simultaneously.

Distortion resistant

Video fingerprints rely on video frames identifying content regardless of metadata, audio, and different distortions.

Supported video distortions

Identify copies regardless of their audio changes, metadata,
and video distortions
Quality changes / CAMRip
Dynamic zooming
Horizontal and vertical sidebars
Slight rotation or cropping
Logos and drawings overlays
Interface elements, ticker, etc.
Color modifications
Time inconsistencies such as playback
Slight speed increase/decrease
Video fragments cut

Video fingerprinting
vs. other video recognition methods

Video fingerprinting detects the biggest number of video copies in comparison to other methods


Frequently asked questions about video content moderation. If you have any other questions feel free to send them via

Let's talk video fingerprinting

Fill in the form to learn how you can use video fingerprinting in your business