RVC System Requirements (CPU, RAM, Disk)

RVC (Retrieval-based Voice Conversion) is a powerful open-source voice conversion framework with a WebUI that lets you train high-quality AI voice models using as little as 10 minutes of voice data. With over 36,000 GitHub stars, it has become the de facto standard for AI voice cloning and conversion. RVC uses a retrieval-based approach combined with content features from HuBERT and Wav2Vec2 to achieve remarkable voice conversion quality while preserving the emotional expression and prosody of the source audio. It supports real-time voice conversion, batch processing, text-to-speech integration, and includes a built-in model training pipeline. The WebUI provides an intuitive interface for managing models, processing audio, and performing voice conversion without writing code. RVC runs on consumer GPUs with as little as 4GB VRAM and supports both Windows and Linux deployments via Docker.