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YouTube

Defend your YouTube content library against manipulated audio and cloned voices — run Resemble Detect on uploads and embed PerTh watermarks to prove provenance.

How it works

YOUR APP
YouTube Content Flow
Uploaded or published videos ingested from YouTube creator library
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RESEMBLE AI
Audio Watermarking (PerTh)
Imperceptible PerTh watermark can be embedded into original audio track
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YOUR APP
Deepfake detection
Video audio scanned for cloned voices and synthetic manipulation attempts
OUTPUT
Protected catalog
Creator content stays traceable, authentic, and safe from deepfake misuse

Overview

Resemble AI gives YouTube creators and rights holders a two-layer defense against deepfake misuse. Resemble Detect analyzes uploaded audio frame-by-frame to flag AI-generated or cloned voices, catching manipulated endorsements, fabricated interviews, and voice-based misinformation before they reach viewers.

On the provenance side, PerTh neural watermarking embeds imperceptible signals into your original audio. The marks survive re-encoding, compression, and even retraining on your content — so you can prove ownership and detect unauthorized reuse across the platform.

Features

Real-time deepfake detection

Scan uploaded videos frame-by-frame for AI-generated or cloned speech. Flag suspicious audio before it reaches audiences.

PerTh neural watermarking

Embed imperceptible watermarks into original audio. Verify authenticity and detect unauthorized use of your IP.

Survives transformations

Watermarks persist through re-encoding, time-stretching, compression, and model training — near 100% data recovery.

Multimodal coverage

Detect spoofed audio, image, and video content in a single pipeline. Built for modern multimodal synthesis models.

Copyright protection

Identify unauthorized reuse of your audio catalog. Supports takedowns and rights enforcement on YouTube.

Privacy-preserving scan

Audio is analyzed and discarded — nothing is retained beyond the detection result. GDPR-aligned processing.

Use cases

  • Flag AI-generated voices in uploaded videos to stop misinformation campaigns at the source
  • Watermark creator audio libraries so unauthorized remixes and re-uploads can be identified
  • Protect high-profile interviews and podcasts from fake endorsement clips
  • Verify the authenticity of breaking-news footage before it spreads through recommendations
  • Detect cloned celebrity voices used for fraudulent ads or scams on the platform
  • Confirm your audio was not scraped to train a third-party voice model

Related integrations

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