Applio vs xinxin-song
Applio
applio.orgxinxin-song
github.comSide by side
| Figure | Applio | xinxin-song |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · AI song cover generators | 9.0 (#4) | 6.5 (#54) |
| Integrations | Official download materials link Google Colab, Pinokio and Hugging Face as cloud or one-click launch options. | The documented pipeline uses Demucs, RVC, and ffmpeg, and accepts vocals prepared separately with UVR5. |
| 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 repository says its code is released under the MIT License. |
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.
xinxin-song
xinxin-song has no write-up on Specifiction yet; its figures are above.