Resemble AI gives Scribd a durable provenance layer for its audio library. PerTh neural watermarking can embed imperceptible identifiers into every published audiobook, podcast, or narration — signals that survive re-encoding, clipping, and even reuse as training data for third-party voice models.
Paired with Resemble Detect, Scribd can scan new uploads in real time for AI-generated or cloned voices, stopping fraudulent narrations and deepfake impersonations before they enter the catalog. Together they defend revenue, narrator identity, and catalog trust.
Embed imperceptible, durable marks into every audiobook. Establish unambiguous proof of ownership across the catalog.
Run Detect on new narrations to flag AI-generated or cloned voices before they reach Scribd subscribers.
Watermarks persist through time-stretching, re-encoding, and AI model training — verify if your data was used without consent.
Detect unauthorized clones of professional narrators. Safeguard voice talent against impersonation across the platform.
Batch-scan existing libraries or stream new uploads through the API. Designed for publisher-size throughput.
SOC 2 Type II (in progress) and GDPR-aligned. Audio is processed without long-term retention of listener or narrator data.
