Forensic Watermarking SDK
Invisible forensic watermark for video, audio and still images. Embed a private key that survives compression while keeping quality high: SNR ~40 dB (audio), VMAF ~94 (video) and SSIM ~50 (photo).
Allows hidden embedding of the company/user private key on the video or still image. Includes: embedder and extractor. SDK contains of: samples and watermark library with an API easy to integrate into your existing workflow.
How invisible forensic watermarking works
Embed: the embedder hides a unique private key inside each distributed copy - per customer, region or channel - without degrading perceptible quality. Distribute: publish through any mix of OTT, broadcast, social or partner channels. Extract: when a copy surfaces where it should not, the extractor reads the key back from the leaked file - even after re-compression, transcoding or screen capture - and tells you exactly which recipient it came from.
Why teams choose Vroves Watermarking
- Invisible by design: the mark is imperceptible and survives compression, re-encoding, screen capture and social-media redistribution.
- Quality-preserving: the mark stays invisible while keeping quality high across audio, video and still images (SNR ~40 dB / VMAF ~94 / SSIM ~50).
- Cross-platform C/C++ SDK: Linux, macOS and Windows with an easy-to-integrate API plus ready-made samples for your workflow.
What you get
Detect leaks across every channel: embed a unique private key per customer, region or distribution path. When content appears where it should not - on a pirate site, in an ad network, inside a screen recording - the extractor identifies exactly which copy leaked and who received it.
- Per-recipient / per-channel keying for precise leak attribution
- Detection that survives re-compression, transcoding and capture
- Embedder + extractor libraries with a clean C/C++ API
- Samples included to integrate into your existing pipeline in days, not months
Typical use cases
OTT and streaming platforms protecting premium content; broadcasters tracing unauthorized redistribution of feeds; media companies securing previews, trailers and internal reviews before public release.
Frequently asked questions
Is the watermark really invisible?
Yes - the mark is imperceptible by design, with quality kept high: approximately SNR ~40 dB for audio, VMAF ~94 for video and SSIM ~50 for still images.
Does it survive compression and re-encoding?
Yes. The embedded key survives compression, re-encoding, transcoding, screen capture and social-media redistribution, so leaked copies remain traceable.
Which media types are supported?
Video, audio and still images.
How does leak attribution work?
Each distributed copy carries a unique private key per customer, region or channel. The extractor reads that key from a leaked copy and identifies exactly who received it.
What is included in the SDK?
Embedder and extractor libraries with a cross-platform C/C++ API for Linux, macOS and Windows, plus ready-made integration samples.