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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 Sep 20, 2026 · GitHub synced Sep 20, 2026

65views this month

3.7k stars597 forksLast push Sep 19, 2026 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 (0d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): 27 low (27 low); As of Jul 11, 2026

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 · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
Languages: python
Source: github.language · Sep 20, 2026

README

1. Installation Run the installation script based on your operating system: Windows: Double click . Linux/macOS: Execute .

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