Applio
Summary
Applio is a free, open-source voice conversion suite for making covers, training voice models, and changing voices live. For recorded audio, it offers ready-made models along with pitch adjustment, cleanup, upscaling, and batch processing. Live conversion is intended for songs, streams, and calls, with low-latency inference. Model tools include training, a voice blender, text-to-speech, and an audio analyzer for checking dataset readiness. Applio is available on Linux, macOS, Windows, the web, and self-hosted setups. Google Colab, Pinokio, and Hugging Face are linked as additional ways to run it. The MIT license permits personal, research, and commercial use. Audio and models stay on the device unless shared; core features do not require an account, telemetry, or cloud service. Local voice training guidance recommends an Nvidia RTX 20-series GPU or newer, while most modern computers can handle inference with existing models. Its listed plan is 0.00 USD per free, with free use and no paywalls.
Who it is for
Applio suits people who want to convert recorded or live audio, or build and prepare voice models. It offers options for beginners through experienced users, with local training guidance for those preparing models.
What is good
- Free plan listed at 0.00 USD per free.
- Converts recorded audio and supports live voice conversion.
- Includes model training and dataset-readiness analysis.
- MIT license permits commercial use.
- Core features need no account or cloud service.
What to know first
- Local training guidance recommends an Nvidia RTX 20-series GPU or newer.
- Downloaded models come from external sources and should be verified.
Verdict
Applio combines recorded and live voice conversion with tools for model creation and audio preparation. Its local-first core and MIT license may suit users who want commercial-use flexibility, while local training has a specific hardware recommendation.
Applio plans and pricing
All plansCompared on AI song cover generators
- Free plan
- Yesapplio.org
Facts
- Product
- Applio is an open-source AI voice conversion suite for creating covers, training custom voice models, and converting voices in real time.applio.org · 2 Oct 2026
- Voice conversion
- It converts audio using ready-made voice models and offers pitch tuning, cleaning, upscaling, and batch processing.applio.org · 2 Oct 2026
- Real-time voice
- It supports live voice conversion with low-latency inference for songs, streams, and calls.applio.org · 2 Oct 2026
- Model tools
- It includes model training, a voice blender, text-to-speech, and an audio analyzer for dataset readiness.applio.org · 2 Oct 2026
- Platforms
- The download page lists desktop apps for Windows 10/11, macOS 12+ on Apple Silicon or Intel, and Linux, plus a Gradio WebUI.applio.org · 2 Oct 2026
- Cloud options
- The download page links to Google Colab, Pinokio, and Hugging Face as cloud or one-click ways to run Applio.applio.org · 2 Oct 2026
- License
- Applio is MIT licensed, and the site says it may be used, modified, and redistributed for personal projects, research, or commercial work.applio.org · 2 Oct 2026
- Privacy
- The security page says audio and models remain on the device unless users choose to share them, and that Applio has no account, telemetry, or cloud dependency for core features.applio.org · 2 Oct 2026
- Security reporting
- The security page asks users to report vulnerabilities privately through GitHub and says maintainers usually acknowledge reports within a few days.applio.org · 2 Oct 2026
- Model safety
- The security page advises users to use trusted model sources and verify downloaded files because models come from external sources.applio.org · 2 Oct 2026
- Hardware guidance
- The documentation recommends an Nvidia RTX 20-series GPU or newer for local voice training and says most modern computers can handle inference with existing models.docs.applio.org · 2 Oct 2026
- Audience
- The documentation describes Applio as designed for everyone from beginners to experienced users.docs.applio.org · 2 Oct 2026
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Sources
- applio.org· checked 2 Oct 2026
- applio.org/download/· checked 2 Oct 2026
- applio.org/security/· checked 2 Oct 2026
- docs.applio.org· checked 2 Oct 2026