MEDIA WATERMARKING

Multimedia content, watermarked to the point of destruction.

Resemble Watermarker embeds imperceptible, persistent watermarks into AI-generated audio, images, and video at creation. Prove origin, protect voice identity, track misuse, and defend your content wherever it ends up.

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STUDIOS

Talent voice, likeness, and productions — provenance embedded at creation

One API call watermarks audio, image, and video. Chain of custody starts at the point of generation, not after misuse is discovered.

PLATFORMS

Upload-time watermark check confirms AI origin  without relying on metadata

Metadata is stripped the moment content hits a platform. A signal embedded in the file itself survives. Binary decode — watermark present or not.

EU AI ACT COMPLIANCE

Article 50 watermarking mandate — enforcement begins August 1, 2026

Organizations generating AI content at scale need provenance infrastructure in place before enforcement begins. Resemble satisfies machine-readable marking requirements.

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THE PROVENANCE GAP IS REAL

Publishing content without a signal in the file, means no chain of custody.

Metadata gets stripped the moment content hits a social platform. Detection tools return probabilities, not proof. Neither holds up when legal gets involved.
METADATA IS GONE
Metadata is stripped on upload. By the time misuse is discovered, the chain of custody is already broken.
Social platforms, CDNs, and compression pipelines all strip metadata as a matter of course. A signal embedded in the file itself is the only provenance layer that survives distribution.
DETECTION ISN'T PROOF
A detection score is a probability. A binary watermark decode is a fact. Only one holds up in a legal dispute.
$2.6 billion lost annually to deepfake-enabled content fraud. 160+ generative AI tools producing content that can't be traced to its source. The difference between probability and proof is the watermark.
THE CLOCK IS RUNNING
EU AI Act Article 50 watermarking mandate takes effect August 1, 2026. Enforcement is not a future concern.
Organizations generating AI content at scale need provenance infrastructure in place before enforcement begins. The max fine: €35M or 7% of global annual revenue — whichever is higher.
THE PROBLEM

Media provenance — watermarked at creation

Content leaves your hands the moment you publish it. Without a signal embedded in the file itself, there's no chain of custody, no way to trace misuse, and no proof that holds up in a dispute.

IP protection/RIGHTS MANAGEMENT
Studios
Content at risk
Original productions
Localized dubs
Talent voice + likeness
ADR audio
Media types
Image
Video
Audio
Products
Resemble Watermarker
Resemble Detect API
Without watermarking
No chain of custody when talent voice is reused or scenes are re-encoded without authorization
Talent likeness in AI-generated content with no traceable origin
Localized dubs distributed with no attribution signal in the file
How Resemble AI watermarks it
Watermark embedded at creation. Survives re-encoding, compression, and format conversion
Audio watermark constrained to speech-relevant frequencies — imperceptible, removal without audible corruption is extremely difficult
Binary decode. Watermark present or not. More defensible than a probabilistic score in rights disputes
content integrity • Trust + safety
Platforms
Content at risk
User-generated content
Reuploaded media
Modified or e-encoded files
Media types
Audio
Image
Video
Products
Resemble Watermarker
Resemble Detect API
Without watermarking
Content reuploaded and modified at scale with no trace back to its source
Metadata stripped on upload — gone before moderation runs
No provenance enforcement at ingest without a signal in the file itself
How Resemble AI watermarks it
Watermark check at upload confirms origin. Integrates into existing moderation pipelines via single API
Binary decode, not a probabilistic score — fewer false positives at scale
C2PA enrollment provides a second provenance layer. If metadata is stripped, the watermark persists
BRAND SAFETY • COMPLIANCE
Brands
Content at risk
Spokesperson voice
Ad creative
Campaign assets
Brand video
Modalities
Audio
Video
Products
Resemble Watermarker
Resemble detect API
Without watermarking
No way to mark assets at creation or prove misuse after the fact
One unauthorized spokesperson use is a brand crisis — no chain of custody to dispute it
Ad creative repurposed with no attribution or rights tracking
How Resemble AI watermarks it
Watermark voice and creative at creation — one API, three media types, automatic
Binary decode for legal and compliance — watermark present or not
Automatic C2PA enrollment on every watermark. Metadata manifest plus embedded signal, layered provenance
HOW IT WORKS

One API. Imperceptible watermarking across audio, image, and video.

Submit any file. Resemble Watermarker detects the media type automatically and embeds an imperceptible watermark. Synchronous mode returns results in a single request. Decode at any point post-distribution.
Resemble Watermarker API
Submit
Watermark applied
Result
Watermark decode
Verify
THE MATH IS clear

Not watermarking means no chain of custody when misuse occurs, no compliance story when regulators ask.

Estimates are conservative. Actual exposure is likely higher.
GET A COMPLIANCE EXPOSURE ESTIMATE
Studios
Monthly asset output
200 productions
Unauthorized reuse rate
5%
Average per-incident value
$75,000
Annual IP exposure
$9,000,000
Watermarking cost
$21,900
Net protected
$8,978,100
Brands
Monthly AI creative assets
500 pieces
Unauthorized reuse rate
3%
Average damage per incident
$50,000
Annual brand exposure
$9,000,000
Watermarking cost
$10,950
Net protected
$8,989,050
EU AI Act Compliance
Monthly AI content output
10,000 pieces
Compliant without watermark
0%
Max Art. 50 fine
€35,000,000
Annual exposure
€35,000,000+
Detection cost
$18,000
Net protected
$34,982,000+
built to survive

Watermarks that survive re-encoding, compression, and format conversion.

Audio watermarking
WHAT IT SURVIVES

Noise addition, pitch shifting, reverb, time-stretching, format conversion

Audio watermark is trained on real-world manipulations, maintaining ~100% detection accuracy even after significant processing.

HOW IT WORKS

Constrained to speech-relevant frequencies — inaudible to listeners

Embedded in the signal itself, not in file metadata making removal without audible corruption nearly impossible.

OUTPUT

Binary decode — watermark present or not

More defensible than a probabilistic score and validated for forensic use by law enforcement agencies.

Image + video watermarking
ATTACK TYPE

Screenshots, re-encoding, compression, platform reprocessing, format conversion

The watermark is embedded in the visual data itself, not in EXIF, XMP, so it survives every transformation that strips metadata.

DETECTION METHOD

Auto-detected media type — one endpoint for image and video

Submit any file. Resemble detects and processes images or videos and applies the appropriate watermark. No configuration per file type required.

OUTPUT

Binary decode after any point in the content lifecycle

Decode post-screenshot, post-repost, post-platform-reprocessing. The signal persists where metadata cannot.

C2PA + provenance
WHAT IT PROVIDES

Second provenance layer on top of the embedded watermark

C2PA (Coalition for Content Provenance and Authenticity) enrollment creates a cryptographically signed metadata manifest linked to the watermark signal.

HOW IT WORKS

Automatic C2PA enrollment on every watermark — no extra API call

Every file is enrolled in C2PA by default. If the manifest is stripped, the embedded watermark acts as a fallback provenance signal.

OUTPUT

Machine-readable AI origin — satisfies EU AI Act Article 50

C2PA manifest declares AI origin in a standardized, machine-readable format, satisfying compliance beginning August 1, 2026.

BUILT FOR MEDIA AT SCALE

One API. Three media types. No configuration per file.

Submit any file. Resemble Watermarker auto-detects media type and embeds the watermark. Synchronous mode returns results in a single request. C2PA enrolled automatically on every watermark.
Cloud API or air-gapped deployment
<300ms detection across audio, video + image
51 languages validated for audio detection
160+ generative AI tools covered — including real-time face swap
96%+ accuracy across modalities
Native integrations: Zoom, Teams, Meet, Webex
Zero Retention Mode — submitted media deleted after analysis
Frequently asked questions
Does Resemble Watermarker satisfy EU AI Act Article 50?
Yes. Article 50 requires that AI-generated content be marked in a machine-readable format. Resemble Watermarker embeds a persistent, imperceptible watermark that survives real-world content transformations and can be decoded to confirm AI origin. Automatic C2PA enrollment provides a second, standards-compliant provenance layer.
What happens if someone tries to remove the watermark?
Tampering severe enough to destroy the watermark degrades content quality to the point it loses evidentiary value. The robustness threshold works in your favor in legal and compliance contexts — the content becomes unusable before the watermark can be reliably stripped.
Does watermarking affect content quality?
No. Watermarks are imperceptible to viewers and listeners. There is no degradation to audio, image, or video quality at standard strength settings. The watermark is constrained to spectral regions below the threshold of human perception.
What is the difference between watermarking and metadata for provenance?
Metadata is stripped by social platforms on upload — it's gone before any downstream moderation or rights check runs. A neural watermark is embedded in the file's signal data and survives screenshots, re-encoding, compression, and format conversion. The watermark persists where metadata cannot.
Can I deploy this in a regulated environment?
Yes. On-premise and air-gapped deployment options are available for teams with data sovereignty, media confidentiality, or compliance requirements. Content never leaves your environment.
What media types does the watermark API support?
Audio, images, and video — all via the same API endpoint. Resemble Watermarker auto-detects the media type on submission and applies the appropriate watermarking model. No per-file-type configuration is required.
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