Applio vs MetaVoice
Applio
applio.orgMetaVoice
github.comSide by side
| Figure | Applio | MetaVoice |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · AI voice cloning tools | 9.1 (#2) | 7.6 (#33) |
| Interfaces | Applio is offered as a Desktop application, a Python/Gradio browser interface and a command-line workflow. | The repository provides a web UI and an inference server with API definitions available at the server's /docs URL. |
| License | The source code and model weights are released under the permissive MIT license, including modification, redistribution and commercial use subject to the project terms. | The model is released under the Apache 2.0 license. |
| Product | Applio is an open-source AI voice conversion suite for creating covers, training custom voice models, and converting voices in real time. | MetaVoice-1B is an open-source foundational text-to-speech model. |
Plans
In their own words
Applio
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.