Voice Transformer converts a recorded audio clip into a completely different voice while keeping the original emotion, pacing, and delivery intact. You provide source audio and a target voice ID, and the AI rebuilds the speech in that new voice without losing what made the original performance work.
This is fundamentally different from text-to-speech — there's no transcript required, and nuances like rising inflection, pause length, and emotional intensity all carry through to the output. It also includes noise removal to clean up ambient recordings before transformation.
What you can do
- transform_voice — convert audio from one voice to another, preserving pacing, emotion, and delivery style; includes optional background noise removal
Who it's for
Podcast producers dubbing interviews into different voices for privacy. Video creators matching a brand voice across multiple presenters. Game developers generating character voice variants from a single performance. Localization teams adapting audio without re-recording. Anyone who wants to anonymize a recording or match a specific brand voice.
How to use it
- Use the Voice Generator's list_voices skill to browse available target voices and find the voice ID you want
- Run transform_voice with the source audio URL and target voice ID
- Adjust stability for consistent vs. expressive output, and similarity_boost to stay closer to the target voice
- Enable remove_background_noise if the recording has ambient sound
- Use seed for reproducible results across multiple takes
Getting started
Have the audio URL ready (MP3 or WAV at a publicly accessible address). Use list_voices in the Voice Generator tool to find your target voice ID before running the transformation.
