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Applio

IAHispano/Applio

A simple high-quality voice conversion tool focused on ease of use and performance

GitHub Website

GraphCanon updated 3w · GitHub synced 3w · 35 views this month

3.5k stars563 forksLast push 4w Python MIT

Decision brief

Applio is a Python-based tool for speech-to-speech conversions focusing on ease of use with support for models like VITS and RVC.

Good fit when

You need an easy installation process specific to your OS, such as running scripts for Windows and Linux/macOS.
Your project requires quality voice conversion using advanced models including VITS or RVC.

Avoid when

If you prefer tools that offer more customization options beyond the provided models.
When a tool with better documentation and community support is required, as Applio's focus is on operation simplicity rather than deep configuration flexibility.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Applio alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (2d since push); As of 3w
Provenance: Not a fork · Organization account; As of 3w
Security (OSV): 27 low (27 low); As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Applio

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Applio is a Python-based repository that focuses on offering users an efficient way to perform speech-to-speech conversions with various models such as VITS, RVC, and more. It aims to streamline the process for both easy installation and operation.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Jul 29, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Jul 29, 2026
Languages: python
Source: github.language · Jul 29, 2026

README

1. Installation

Run the installation script based on your operating system:

Windows: Double-click run-install.bat.
Linux/macOS: Execute run-install.sh.

For agents

This page has a .md twin and JSON over the API.

/tools/iahispano-applio.md GET /api/graphcanon/tools/iahispano-applio GET /api/graphcanon/graph?tool=iahispano-applio