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Find video by what it looks like, not by filename or file hash.
Video Fingerprinting
Perceptual fingerprinting technology for search, compliance, and duplicate detection.
nablet fingerprinting builds compact signatures from visual video content so systems can find the same material even when files have been re-encoded, scaled, trimmed, or stored under different names.
nablet workflowThis technology powers Video Search.
Fingerprinting is the engine behind Video Search — our ready-to-use product for finding clips across archives and broadcasts, verifying content usage, and detecting duplicates. If you are looking for a finished application rather than a component to integrate, start there.
The underlying technology
Perceptual fingerprinting for search, compliance, and duplicate detection.
For OEM and system-integration projects, the fingerprinting technology is also available on its own. It builds compact signatures from visual content, so systems can match the same material even after re-encoding, scaling, or trimming.
Archive and compliance
Power video search, broadcast verification, duplicate detection, and rights monitoring.
Integration-ready
Use the technology inside applications, services, or custom workflows.
Business value
What fingerprinting is actually used for.
The same core technology solves a surprisingly wide range of commercial problems — from cutting storage bills to proving what aired, catching ad placements, and protecting a brand from impersonation.
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Storage & cost
Cost savings for video libraries
Video fingerprinting detects duplicate and near-duplicate files across large media libraries. Automated reports compare matching assets by duration, resolution, quality, and content differences, enabling teams to determine which versions should be retained, archived, or removed. This reduces redundant storage and delivers significant cost savings, particularly in cloud-based environments.
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Film studios
Duplicate and recurring content across film archives
Video Search identifies duplicate and recurring content across film archives and edited sequences. Integrated into Avid Media Composer through dedicated plug-ins (beta version for Windows), the system automatically generates a fingerprint file during export. This enables seamless content indexing, duplicate detection, and archive verification without disrupting existing post-production workflows. Deeper MAM integration may be required.
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Content owners & buyers
Monitor where and how your content is used
Monitor TV channels and media content platforms for your content usage, live or on demand. Detect whether your content is used only by authorized customers. Content owners can see how much of their content was used by broadcasters — what scenes, and in what length. Automated reports allow frame-accurate detection of video inside broadcasted content.
For broadcasters and other content buyers, the same detections give precise tracking of when, where, how often, and for how long licensed content or advertisements are broadcast. Each usage can be matched against defined rights, territories, time periods, and permitted broadcast volumes — reliable data for license compliance, rights verification, contract management, and preventing unauthorized or excessive use.
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Ad detection
Ad detection and broadcast analysis without SCTE-35
Video fingerprinting automatically detects commercials across channels. It enables precise tracking of which ads were broadcast, when they aired, how often they appeared, and on which channel. Even the length of the individual ads can be detected. The technology provides reliable analysis of reach, repetition frequency, and broadcast times, even across large volumes of video content.
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Archive search
Automated search in film archives
Digital video fingerprinting enables fast identification of content within large film archives. Using a short video clip or a single reference image, the system can detect the films in which the content appears. nablet demonstrates this capability with a searchable archive of more than 5,000 films and shows.
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Brand protection
Brand impersonation and content authenticity
Video fingerprinting helps detect channels that impersonate a brand by publishing AI-generated or third-party videos under its name and logo on YouTube or other platforms. Video Search compares suspicious uploads against the customer’s verified content library and determines whether the material originates from an authorized source. This enables fast identification of fraudulent content, supports platform enforcement, and protects brand identity and audience trust.
Customer stories
How customers put it to work.
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Click to enlargeReporting
One report, multiple formats.
Generate a video fingerprint analysis report once and export it in the format that works best for you — structured JSON for APIs and integrations, or human-readable output for review and evidence. Reports summarise videos analysed, matches found, top match confidence, and processing time.
Click to enlargeWant to integrate Video Fingerprinting?
Tell us about your platform, OS, media formats, and deployment target. We’ll help identify the right component set.