Voluntas Tech

DeadMark

Invisible watermarking for image, video, and audio - C2PA-aware, log-backed, and built to survive real-world transforms.

What is DeadMark
DeadMark is the encoding layer: it embeds a UID-linked payload into media with stealth and durability.

The goal is simple: keep it invisible, keep it verifiable, and keep it alive after edits.
How it works
DeadMark is AI-driven and ML-adaptive: it chooses which proprietary carrier techniques to use per media type, where to place them, and how much strength to apply.

For image and video we tune changes as close to pixel level as possible while balancing invisibility, robustness, and survivability. For audio (including video audio tracks) we apply subtle edits at selected time-frequency instances to keep the watermark inaudible but recoverable.

Every encode produces structured logs (CSV/JSON) to support audits and later model training. It can also work alongside C2PA manifests when they are present in your distribution workflow.
Technique stack (proprietary)

DeadMark uses an AI-driven, ML-adaptive multi-carrier stack across image, video, and audio. The system automatically decides the best technique mix and strength for each asset so watermark signals stay as invisible as possible while maintaining robust verification after common edits.

Pipeline
Step 1
Generate / Import
From the chat-style generator or manual upload.
Step 2
Auto Watermark
Multi-layer encode with strict stealth gate.
Step 3
Media Library
UID-linked records + encode logs.
Step 4
Verify
Decode + evidence visualization and survivability.

C2PA + DeadMark workflow

We use C2PA manifests when present, but DeadMark does not depend on C2PA alone. Our primary verification path is the invisible UID watermark + internal decode logs, so source tracing still works even if a platform strips manifest metadata.

In practice, our UID recovery is designed to remain useful even when manifest recovery fails. C2PA strengthens provenance. DeadMark keeps verification continuity.

What ships together

  • Invisible media watermark (image / video / audio)
  • UID-linked encode + decode logs
  • Detection overlays for operator review (product UI)
  • C2PA manifest support in provenance workflows
  • Fallback verification when C2PA is stripped
C2PA + DeadMark workflow

C2PA when available. DeadMark verification even when it is not.

We support standards-based provenance (including C2PA), but verification does not depend on a manifest surviving the full content journey. DeadMark uses an embedded UID signal plus timestamped internal logs to preserve traceability.

In real distribution paths, metadata is often lost before the embedded signal. That is why we treat C2PA as a valuable layer, not the only layer.

1

Generate / ingest media

Media enters the DeadMark workflow through our operator pipeline. C2PA can be attached when present, but generation and verification do not depend on it.

2

Embed UID + internal logs

DeadMark embeds a source-linked UID signal and records decode/verification context in internal logs. This keeps continuity even when external metadata is stripped.

3

C2PA provenance layer

C2PA manifests are additive and useful for standards-based provenance. We surface them in review output when available, but they are not the only proof path.

4

Recover, verify, and audit

Verification uses embedded UID recovery, decode overlays, and timestamped internal logs. If C2PA is missing, the embedded signal and logs still support traceability.

Why we show both C2PA and internal evidence

Standards help interoperability. Embedded signals and internal logs add resilience. Showing both gives a complete verification path without exposing proprietary internals.

When C2PA is present
Surface manifest provenance and cross-check against embedded UID/logs.
When C2PA is stripped
Continue with embedded UID recovery, evidence overlays, and internal audit records.

Roadmap note

Text/document/code support was started early and is now visible in public preview UI. In parallel, DeadDetect no-watermark AI-origin estimation is in active development.

C2PA is useful and supported, but DeadMark is built so verification still works when metadata is missing.
Text + code preview

Text, docs, and code watermarking

DeadMark is expanding beyond image/video/audio with one API and format-aware profiles for text workflows. The target is practical survivability through copy/paste, spacing changes, and light reformatting.

Text detection preview
ChatGPT sample (demo)
"Daily operations update: all three service regions are stable after maintenance. Throughput is back to normal and alert volume remains low."
Detection overlay: UID DMK-TXT-7D1A-29F4 * confidence 96.8% * integrity 92 / 100 * recovery: spacing-normalized path.
Messaging
Chat apps, short posts, comments
Plain text
TXT, Markdown, structured text
Documents
DOCX, PDF text layers, exports
Code
Repositories, snippets, generated files
Code detection preview
Claude Code sample (demo)
export function scoreRisk(input: string): number {
  const normalized = normalizeText(input);
  const entropy = estimateEntropy(normalized);
  return Math.min(100, Math.round(entropy * 37));
}
Detection overlay: UID DMK-CODE-11C8-5AE2 * confidence 97.2% * integrity 94 / 100 * recovery: structure-preserved path.
Output model: present / uid / confidence / recovery status.
AI-origin estimation (no watermark, media) - Deep Scan in development
Model-signal attribution
Media-generation signal hints
Diffusion residual texture patternHigh
Temporal synthesis cadence patternMedium
Generative audio texture patternMedium
Model confidence
DALL-E family82%
Kling family74%
Seedance family69%
Deep Scan no-watermark attribution is media-focused (image, video, audio). This block is model-family confidence output, not watermark decode output.
Active development: messaging, text, document, and code watermark workflows are in progress, with early preview shown in the public demo UI.
FAQs
DeadMark is a free SDK for embedding invisible, UID-linked proofs into media. (DeadDetect is the paid verification API.)