Audimee

Overview

Audimee is an AI-powered vocal conversion platform built to unlock unlimited creative freedom for music makers. It transforms raw vocal recordings into any voice using a library of royalty-free AI voices, while also enabling users to train their own custom voice models. Designed for both professional producers and independent creators, Audimee delivers studio-quality vocal output suitable for original tracks, cover songs, demos, and experimental productions.

At the core of Audimee is a sophisticated vocal conversion engine that preserves the emotional nuance, phrasing, and dynamics of the original performance while applying the timbre, tone, and stylistic character of a selected target voice. The platform includes a diverse roster of featured voices spanning genres such as Pop, Dance, Rock, R&B, Indie, Jazz, Soul, and Afrobeat, with descriptors that help producers quickly match a voice to a production style. In addition to conversion, Audimee provides a complete vocal processing toolkit, including vocal isolation, voice mixing, harmony generation, and a stem splitter, allowing users to deconstruct, transform, and rebuild vocal tracks in flexible ways. The platform also supports non-English vocal conversion, expanding its utility for international creators and multilingual projects.

Audimee is particularly valuable for generating copyright-free cover vocals. By leveraging the built-in royalty-free voice library, creators can re-record existing songs with alternative vocal performances without encountering the rights issues typically associated with mimicry or impersonation. The workflow is straightforward: choose a voice, upload or record a raw vocal, process the conversion, and export the result for further mixing and mastering. Advanced users can train custom voice models to establish a consistent vocal identity across multiple projects, making the platform useful for branding, virtual artists, and personalized voice synthesis.

The platform has already gained traction among high-profile music professionals. Notable examples include KSHMR, who used Audimee for the track 'More Than A Feeling', and Ye, who reportedly used Audimee for the album 'Bully'. These adoptions underscore the platform's ability to meet the demands of professional music production. Audimee positions itself as an accessible yet powerful solution that reduces the cost and time of traditional vocal recording sessions while expanding the boundaries of vocal creativity. Whether you are producing a demo, designing a virtual vocalist, or exploring new sonic textures, Audimee provides the tools to turn ideas into finished vocal performances.

Core capabilities

AI Vocal Conversion

Transform raw vocal recordings into any voice with studio-quality sound while preserving performance nuance.

Royalty-Free Voice Library

Access a diverse collection of featured AI voices spanning Pop, Dance, Rock, R&B, Indie, Jazz, Soul, and more.

Custom Voice Training

Train your own voice models to create a unique and consistent vocal identity for your projects.

Vocal Isolation

Isolate vocals from mixed tracks for remixing, sampling, or further processing.

Voice Mixing

Mix multiple voices to create blended vocal textures and unique timbral combinations.

Harmony Generation

Generate vocal harmonies from existing lines to enrich arrangements and add depth.

Stem Splitter

Split audio into separate stems to enable flexible control over individual elements in a production.

Copyright-Free Cover Vocals

Create cover versions using royalty-free voices without copyright or rights-related limitations.

Use cases

Creating copyright-free cover vocals using royalty-free AI voices

Replacing or augmenting demo vocals in a song production

Training a custom voice model for a consistent artist or brand vocal identity

Isolating vocals from a full mix for remixes or stem-based projects

Generating harmonies to add depth and richness to vocal arrangements

Experimenting with cross-genre vocal transformations for creative sound design

Producing vocals in multiple languages without native-speaking session singers