AI term

What is Voice cloning?

Creating a synthetic copy of a specific voice from a sample, then generating new speech in that voice. Use it ethically and with consent.

Voice cloning creates a synthetic model of a specific person's voice from recorded samples, then generates new speech in that voice from any text. Some tools need under a minute of clean audio for an "instant" clone; higher-fidelity professional clones train on longer recordings and capture more of the speaker's tone, pacing, and quirks. Once cloned, the voice works like any TTS voice: type text, get audio, often across multiple languages the original speaker never recorded. Legitimate uses include creators scaling their own narration, dubbing content into other languages, and restoring voices for people who have lost the ability to speak. The obvious risk is impersonation and fraud, so reputable platforms require consent verification, and many jurisdictions are moving to regulate cloned voices. Never clone a voice without the owner's explicit permission.

Example

A course creator records 30 minutes of clean audio, clones her voice in ElevenLabs, and then generates narration for new lessons by pasting scripts, keeping every module in her own voice without re-recording.

Why it matters

If cloning is part of your workflow, check the platform's consent requirements, sample quality needs, and language support. The legal and ethical side matters as much as audio quality, especially for client or commercial work. Browse the AI tools directory or the model leaderboard to put it into practice.

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