What Features Does Applio Offer for Voice Conversion?

Updated

Applio is a complete, open-source AI voice conversion suite that runs on Windows, macOS, and Linux, or in the cloud. It covers the full workflow from converting a single audio file to training a custom voice model, and it ships with six core tools: voice conversion, real-time voice change, model training, voice blender, text-to-speech, and an audio analyzer. Everything is MIT licensed, requires no account, and runs locally on your machine.

Voice Conversion

This is the core feature: converting any audio into another voice using ready-made voice models. Beyond the basic conversion, Applio lets you:

  • Tune pitch to match the target voice
  • Clean up audio artifacts
  • Upscale audio quality
  • Batch-process multiple files at once

This is the tool you reach for when you want to turn an existing recording—a song, a speech clip, a voice memo—into a different voice without touching a microphone.

Real-Time Voice Change

Applio supports live voice conversion with low-latency inference. You speak or sing into your microphone, and the output comes back in the target voice in real time. The site specifically calls out songs, streams, and calls as use cases, so this is aimed at live performance and interactive scenarios rather than post-production.

Model Training

If the community-shared voice models don't cover what you need, you can train your own from a dataset. The workflow is broken into four steps:

  1. Pre-process — prepare your audio data
  2. Extract — pull the features needed for training
  3. Train — run the training process
  4. Export — produce a usable model

The site describes this as achievable "in just a few steps," and the audio analyzer (below) exists to help you verify your dataset is ready before you start.

Voice Blender

The Voice Blender merges multiple voice models into one new voice, with full control over how much each contributor influences the result. This is useful when no single model gives you the timbre you want and you'd rather interpolate between several.

Text-to-Speech

Applio can generate speech from text and then run that speech through your voice models. This opens up content creation without needing a source recording—you type text, pick a voice model, and get audio out.

Audio Analyzer

Before training, the audio analyzer checks your dataset and reports detailed audio health information. It's a preparation and validation tool: you feed it your dataset, and it tells you whether the audio is in good enough shape to train on.

How the Pieces Fit Together

Feature Input Output Typical use
Voice Conversion Existing audio + voice model Converted audio AI covers, dubbing
Real-Time Voice Change Microphone input Live converted voice Streams, calls, live singing
Model Training Your audio dataset Custom voice model Building a voice no one else has
Voice Blender Multiple voice models One blended model Fine-tuning timbre
Text-to-Speech Text + voice model Spoken audio Content without a source recording
Audio Analyzer Audio dataset Readiness report Pre-training validation

Getting Started

The site lays out a three-step path from zero to a first conversion:

  1. Get Applio — download the standalone Desktop app or the classic Gradio WebUI.
  2. Pick or train a voice — use community-shared models or train your own from your own audio.
  3. Convert your audio — transform songs, speech, or microphone input, and test in the playground.

Because Applio is open source with no accounts, no paywalls, and no telemetry, all of this runs locally and the code is available to inspect, modify, and redistribute—for personal projects, research, or commercial work.