Applio vs MyVocal AI
Applio
applio.orgMyVocal AI
myvocal.aiSide by side
| Figure | Applio | MyVocal AI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · AI song cover generators | 9.0 (#4) | 6.9 (#50) |
| API | The App development workflow starts a local API on port 8000 alongside a web UI on port 3000, and the Python app can mount a FastAPI realtime API. | The voice cloning page links to a developer API for using a cloned identity from an application. |
| 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. | The privacy policy says voice recordings submitted for cloning are not used to train AI models. |
| Product | Applio is an open-source AI voice conversion suite for creating covers, training custom voice models, and converting voices in real time. | MyVocal describes itself as a voice platform for voice cloning, text to speech, and AI Cover workflows for speech and music creation. |
| Text to speech | Text can be synthesized with Edge TTS and then converted through an RVC model. | The TTS editor offers premade voices, emotion tags, and sound cues; guest use is limited, and plan prices are shown after sign-in. |
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.