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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
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17d ago
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Latest release

v1.1.2Oct 26, 2026, 10:11 PM
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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

  1. Go to Releases to download the package (full ~4.6GB or CPU slim ~0.5GB)
  2. Extract to a local directory
  3. Double-click the startup script to run
  4. 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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