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An inaudible signature for the audio you create.

Watermark places a mark inside the audio that listeners cannot hear. Even after a recording is shared, you can verify where it came from.

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01Why it matters

Metadata gets stripped. A mark in the audio stays.

File information that shows where a recording came from (metadata) is easily lost when audio is shared, converted or re-uploaded. Watermark embeds the source in the audio itself, not around the file.

  • AI-generated audio
  • Corporate announcements and recordings
  • Broadcast and media content
campaign_announcement.wavExample
File information (metadata)
  • Created by: Example Corp.
  • Tool: text-to-speech
  • Date: 2026-10-14
Sits next to the audio, in a separate field.
AudioEmbedded markThe Watermark mark is embedded in the audio itself.
02Example

Sounds the same. Signed inside.

Both recordings sound identical; the only difference is the mark embedded in the audio. In the marked file the mark is read; in the unmarked one the source cannot be verified.

Example
campaign_announcement.wavMark read
What you hear
Embedded mark
Source verifiedExample Corp.AI-generated

The mark shows which organisation the recording came from, and that it was generated with AI.

03What it proves

A marked recording answers three questions.

  • Where did it come from?

    The mark identifies the organisation or system that produced the recording.

  • Was it made with AI?

    Synthetic audio you produce declares that it is artificial, in a machine-readable way.

  • Is it yours?

    In a dispute, the mark read from inside the audio shows whether the recording came from you.

04How it works

Mark it when you create it, verify it when you need to.

  1. 01

    Mark

    While audio is generated, or before it is published, an inaudible mark is embedded in it.

  2. 02

    Share

    The recording is used and distributed as usual; listeners hear no difference.

  3. 03

    Verify

    When a suspicious recording turns up, the mark is read and its source and origin are verified.

05With SynVoi

First authenticity, then source.

  • 1 · SynVoi

    Is this voice real or AI?

    Analyses audio of unknown origin in real time and tells AI voices apart, whether cloned or generated from scratch.

  • 2 · Watermark

    Is this AI voice registered in our system?

    If the audio is AI-made, it looks for the mark inside: it recognises audio produced, marked and registered in your own system.

  • Together

    Authenticity and source.

    Catch fake voices coming from outside, and show that the audio you produce is yours.

06Regulation

AI-generated audio should be marked.

The EU AI Act (Article 50) requires providers of AI systems that generate synthetic audio to mark their outputs in a machine-readable format, detectable as artificially generated. Watermark writes that mark into the audio itself, so it stays even when file metadata is stripped.

  • Text-to-speech and voice-cloning services
  • AI-powered voice assistants
  • Products offered in the European Union
07Contact

Sign your audio.

Talk to us about trying Watermark in your own audio pipeline.

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Address
İTÜ ARI Teknokent 2, Block B
Sarıyer / İstanbul, Türkiye