Best Open-Source Voice Changers 2026: 6 Options Compared

Voice changers fall into two groups, and open-source options are mostly in the harder one. Simple effect changers shift pitch or add filters in real time. Neural voice conversion models, by contrast, learn to make your speech sound like another voice from training data. W-okada Voice Changer is the real-time option, MIT-licensed, with builds listed for Windows, Apple silicon Macs and Linux, and a Google Colab route. RVC, Applio, so-vits-svc and Seed-VC are conversion projects in Python: you prepare audio, train or load a model and convert, which gives higher quality but means setup, a capable GPU for training, and patience. OpenVoice focuses on cloning a speaker's tone from a short sample. Licenses differ in ways that matter: RVC and Applio are MIT, Seed-VC is GPL v3, and so-vits-svc uses AGPL v3, which carries sharing obligations if you offer it as a service. Ethics matter more here than in other categories. Convert only voices you own or have written permission to use, and do not use the output to impersonate anyone, mislead listeners or bypass verification. If you only want a fun effect for chat or streaming, you may be better served by a plain pitch effect than a trained model.

w-okada Voice Changer

MIT-licensed real-time voice conversion with builds for Windows, Apple silicon, Linux and Colab. You download models and run it yourself, so setup is on you.

Price: Free (Free open-source software; no paid tier) (w-okada Voice Changer pricing, checked 2026-10-23).

Platforms and license: Windows, macOS (Apple silicon), Linux, Google Colab. MIT (open source) (license source).

Project activity: 21.2k GitHub stars · last commit Sep 26, 2026

Best for: Real-time conversion while talking.

Worth knowing: AI-based real-time voice conversion; you download models and run it yourself, so setup is heavier than Voicemod. The repository also holds other licence files for bundled parts.

RVC WebUI

MIT retrieval-based voice conversion web UI. Produces convincing conversions after you train or load a model, which takes data, time and a capable GPU.

Price: Free (Free and open source; no paid tier stated on the source page) (RVC WebUI pricing, checked 2026-10-24).

Platforms and license: Self-hosted (Python). MIT (open source) (license source).

Project activity: 38.9k GitHub stars · latest release 2.3.260718 (Jul 21, 2026) · last commit Aug 4, 2026

Best for: Training a custom voice model.

Applio

MIT voice conversion app built around the RVC approach, with an easier interface than raw scripts. Still needs a Python environment.

Price: Free (Free and open source; no paid tier stated on the source page) (Applio pricing, checked 2026-10-24).

Platforms and license: Self-hosted (Python). MIT (open source) (license source).

Project activity: 3.9k GitHub stars · latest release 3.7.1 (Oct 26, 2026) · last commit Oct 26, 2026

Best for: An easier route to RVC-style models.

OpenVoice

MIT; the README says it is free for commercial and research use. Clones a speaker's tone from a reference sample. Cloning needs consent.

Price: Free (Free to run yourself; the README says it is free for commercial and research use) (OpenVoice pricing, checked 2026-10-23).

Platforms and license: Self-hosted (Python). MIT (open source) (license source).

Project activity: 38.1k GitHub stars · No commits since Apr 19, 2025

Best for: Cloning tone from a short sample.

so-vits-svc

AGPL-3.0 singing voice conversion project. The AGPL means network use requires sharing source, so check this before offering it as a service.

Price: Free (Free and open source; no paid tier stated on the source page) (so-vits-svc pricing, checked 2026-10-24).

Platforms and license: Self-hosted (Python). AGPL-3.0 (open source) (license source).

Project activity: 28.1k GitHub stars · Archived on GitHub

Best for: Converting singing voices.

Seed-VC

GPL-3.0 zero-shot voice conversion that works from a reference without per-voice training, though results vary with the reference audio.

Price: Free (Free and open source; no paid tier stated on the source page) (Seed-VC pricing, checked 2026-10-24).

Platforms and license: Self-hosted (Python). GPL-3.0 (open source) (license source).

Project activity: 3.9k GitHub stars · Archived on GitHub

Best for: Conversion without training.

Which one to pick

• You want to change your voice live while talking: w-okada Voice Changer
• You will train a custom model on voice data you own: RVC WebUI
• You want an easier interface than scripts: Applio
• You need to convert singing: so-vits-svc
• You want to convert from one reference sample: Seed-VC