Installation (password: 2025): CLICK
High-quality, privacy-first voice transformation using modern AI — real-time and batch modes, designed for creators, developers, and accessibility tools.
AI-VoiceChanger is an open, production-ready voice transformation toolkit that converts, styles, and manipulates voices using state-of-the-art neural models. It supports real-time streaming and offline processing, offers fine-grained controls (pitch, timbre, speaking rate), and includes privacy-first options so you control where the audio is processed.
- Ultra-realistic voice conversion — transforms voice while preserving natural prosody and emotion.
- Low-latency real-time mode for live streaming, calls, and creative performances.
- High-fidelity offline processing for batch jobs (podcasts, post-production).
- Fine control parameters: pitch, formant, style, gender-neutral toggles, and advanced EQ.
- Privacy-first architecture: local on-device inference option + optional encrypted cloud.
- Easy integration: CLI, Python SDK, and REST API for rapid prototyping and production.
- Model cards & ethical safeguards: usage guidelines and optional audible watermarking to discourage misuse.
- Cross-platform: supports Linux, macOS, Windows, and ARM-based devices.
Python
from aivoicechanger import VoiceChanger
vc = VoiceChanger(model="ultra-realistic-v2", device="cpu")
vc.load("models/ultra-realistic-v2")
converted = vc.convert("samples/speech.wav", style="broadcast", pitch_shift=0.8)
converted.save("samples/out.wav")