Applio vs LALAL.AI

Applio is an open-source AI voice conversion suite for making covers, training custom voice models, and changing voices in real time. It can convert recorded audio with ready-made models, plus pitch tuning, cleanup, upscaling, and batch processing. Live conversion is intended for songs, streams, and calls. Model tools include training, a voice blender, text-to-speech, and an audio analyzer for dataset readiness. Applio supports Linux, macOS, Windows, web, and self-hosted use; Google Colab, Pinokio, and Hugging Face are also listed as ways to run it. Its plan is free, with no accounts or paywalls. The MIT license permits personal, research, and commercial use. The maker says audio and models remain on the device unless shared, and core features do not require an account, telemetry, or cloud dependency. Documentation recommends an Nvidia RTX 20-series GPU or newer for local voice training; most modern computers can handle inference with existing models.

LALAL.AI uses AI to separate vocals and instrument stems, clean voice recordings, change or clone voices, and reduce echo and reverb. Its available stem types include vocals, instrumental, drums, bass, electric and acoustic guitar, piano, synthesizer, strings, and wind instruments. The web vocal remover accepts audio and video formats, including MP3, WAV, FLAC, MP4, and MOV. Fast Queue prioritizes processing, while Relaxed Queue processes as server capacity allows; both provide the same separation quality. Usage minutes are calculated by multiplying file length by the number of selected stem types. The desktop app supports Windows, macOS, and Ubuntu Linux, with batch processing for up to 20 files; Pro subscribers can optionally process locally offline. The API and VST plugin offer other ways to use the tools. The free Starter plan includes 10 Relaxed Queue minutes, but does not allow full downloads. Lite costs $7.50 a month billed annually.