What is voice_clone_lab?

Voice Clone Lab is a Python tool that clones a voice from a small amount of audio and then generates new speech in that voice, running entirely on your own computer and GPU. It works by fine-tuning an existing text-to-speech model called Qwen3-TTS on 5 to 15 minutes of clean speech, which can come from an uploaded recording, a microphone, or a pasted YouTube or other URL link. The project states a clear consent rule up front: it should only be used to clone your own voice, or a voice you have explicit written permission to clone, and it should never be used for impersonation, fraud, harassment, bypassing someone's consent, or cloning public figures or private individuals without their permission. The same restriction applies to any linked audio source, which must be something you actually have the right to use. The full pipeline extracts audio, cleans it, splits it into short pieces, transcribes the speech to text, and lets you proofread and fix that transcript in an editable table before training starts, since incorrect transcripts are described as the most common cause of odd sounding pronunciation. Once training finishes, you can generate new speech by typing text under a chosen voice name, and the tool also supports a zero shot mode that can imitate a voice instantly from a single short clip without any training at all. Everything is organized by the name you give each voice, so multiple voices can be trained and kept separate, and every step refuses to overwrite existing files unless explicitly told to. The tool can be driven from a command line interface or from a web interface built with Gradio that mirrors the same setup, data, training, and generation steps with sliders and in-browser audio playback. Training needs a Linux machine with an NVIDIA CUDA GPU with at least 24 gigabytes of video memory, while generating speech from an already trained voice needs only about 8 gigabytes. The project also depends on faster-whisper for transcription and yt-dlp for URL downloads, and it is released under the Apache 2.0 license.