EasyVoice is a local multilingual dubbing and voice cloning tool based on Qwen3-TTS, supporting 10 languages, 3-second voice cloning, GPU auto-adaptation, and out-of-the-box operation with fully local inference for privacy.
- v1.1.2
- Published at
- 17d ago
- 11
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- 649
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- Synced at
- 17d ago
Latest release
v1.1.2Oct 26, 2026, 10:11 PMDownloads slow? Switch the source anytime above
README
Project Overview
EasyVoice is a local multilingual傻瓜 dubbing / voice cloning tool based on Qwen3-TTS (Chinese interface, ready to use out of the box).
Key Features
- 3-second voice cloning: Upload or record about 3 seconds of reference audio to clone that voice for any text/subtitle dubbing
- Multilingual dubbing: Supports Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian (10 languages), defaulting to auto language detection
- Subtitle dubbing (multi-role): Upload SRT/VTT/LRC subtitles, automatically assign speaker voices based on "Name:" prefixes, preview/edit/re-record line by line, generate aligned to the timeline
- Local operation: Full local inference, no cloud upload
- GPU auto-adaptation: Automatically uses CUDA acceleration with a GPU, falls back to CPU without one
- Quality options: Manually switch between "Fast 0.6B / High Quality 1.7B" models
- Out-of-the-box: Download the package, extract, and double-click to run
Target Audience
- Users who need dubbing for videos or subtitles
- Users who need to clone specific voices
- Video creators and self-media operators
Quick Start
- Go to Releases to download the package (full ~4.6GB or CPU slim ~0.5GB)
- Extract to a local directory
- Double-click the startup script to run
- Upload reference audio to clone a voice, enter text or upload subtitles for dubbing
Core Advantages
- 3-second ultra-fast voice cloning with simple operation
- Supports 10 languages covering major languages
- Local inference for privacy and security
- GPU auto-adaptation; works without a GPU too
- Chinese subtitle multi-role dubbing aligned to timeline
System Requirements
- OS: Windows
- Additional dependencies: Full package recommended with NVIDIA GPU; CPU slim package for systems without a GPU
Release history
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