pyVideoTrans

Sponsors
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OfoxAI: Text, speech, image and video model APIs	Access GPT, Claude, Gemini and DeepSeek text models, ElevenLabs speech models, and image and video generation models with one API key—choose the models that fit your creative needs.

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A Powerful Open Source Video Translation / Audio Transcription / AI Dubbing / Subtitle Translation Tool

简体中文 | Documentation | Online Q&A

pyVideoTrans is dedicated to seamlessly converting videos from one language to another, offering a complete workflow that includes speech recognition, subtitle translation, multi-role dubbing, and audio-video synchronization. It supports both local offline deployment and a wide variety of mainstream online APIs.

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Core Features

Technical Architecture and Principles

• Fully Automatic Video Translation: One-click workflow: Speech Recognition (ASR) → Subtitle Translation → Speech Synthesis (TTS) → Video Synthesis.
• Audio Transcription / Subtitle Generation: Batch convert audio/video to SRT subtitles, supporting Speaker Diarization to distinguish between different roles.
• ️Multi-Role AI Dubbing: Assign different AI dubbing voices to different speakers.
• Voice Cloning: Integrates models like F5-TTS, CosyVoice, GPT-SoVITS for zero-shot voice cloning.
• Powerful Model Support:
  • ASR: Faster-Whisper (Local), OpenAI Whisper, Alibaba Qwen, ByteDance Volcano, Azure, Google, etc.
  • LLM Translation: DeepSeek, ChatGPT, Claude, Gemini, MiniMax, Ollama (Local), Alibaba Bailian, etc.
  • TTS: Edge-TTS (Free), OpenAI, Azure, Minimaxi, ChatTTS, ChatterBox, etc.
• ️Interactive Editing: Supports pausing and manual proofreading at each stage (recognition, translation, dubbing) to ensure accuracy.
• ️Utility Toolkit: Includes auxiliary tools such as vocal separation, video/subtitle merging, audio-video alignment, and transcript matching.
• Command Line Interface (CLI): Supports headless operation, convenient for server deployment or batch processing.
• Web Interface (WebUI): Browser-based interface for remote access or internal network deployment.

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Quick Start (Windows Users)

We provide a pre-packaged .exe version for Windows 10/11 users, requiring no Python environment configuration.

1. Download: Click to download the latest pre-packaged version
2. Unzip: Extract the compressed file to a path without Chinese characters or spaces (e.g., D:\pyVideoTrans).
3. Run: Double-click sp.exe inside the folder to launch.

Note:

• Do not run directly from within the compressed archive.
• To use GPU acceleration(NVIDIA GPU only), ensure CUDA 12.8 and cuDNN 9.11 are installed.

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️ Source Deployment (macOS / Linux / Windows Developers)

We recommend using uv for package management for faster speed and better environment isolation.

1. Prerequisites

• Python: Recommended version 3.10
• FFmpeg: Must be installed and configured in the environment variables.
  • macOS:

    brew install libsndfile  git  [email protected]
    
    brew uninstall --ignore-dependencies ffmpeg
    
    brew tap homebrew-ffmpeg/ffmpeg
    
    brew install homebrew-ffmpeg/ffmpeg/ffmpeg
  

  • Linux (Ubuntu/Debian): sudo apt-get install ffmpeg libsndfile1-dev
  • Windows: Download FFmpeg and configure Path, or place ffmpeg.exe and ffprobe.exe directly in the project directory.

2. Install uv (If not installed)

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Clone and Install

git clone https://github.com/jianchang512/pyvideotrans.git
cd pyvideotrans
uv sync

By default, whisper.net and WebUI are not installed locally.

• To install all optional channels: uv sync --all-extras
• To install whisper.net: uv sync --extra dotnet
• To install WebUI: uv sync --extra webui

4. Launch Software

GUI:

uv run sp.py

CLI:

# Video Translation
uv run cli.py --task vtv --name "./video.mp4" --source_language_code zh-cn --target_language_code en --voice_role "en-US-GuyNeural"

# Audio to Subtitle
uv run cli.py --task stt --name "./audio.wav" --model_name large-v3

# Subtitle Translation
uv run cli.py --task sts --name "./subs.srt" --target_language_code en

# Text to Speech
uv run cli.py --task tts --name "./subs.srt" --voice_role "zh-CN-YunyangNeural"

CLI documentation with all parameters

WebUI (for remote/internal network access):

uv sync --extra webui
uv run webui.py

This is the beginning of the README. Read the rest at the original. Read the full README ↗