Sponsors:

• Recall.ai - Meeting Transcription API: If you’re looking for a transcription API for meetings, consider checking out Recall.ai , an API that works with Zoom, Google Meet, Microsoft Teams, and more
• infistar - 160+ 模型,一个 Key: infistar 是 OpenAI 兼容中转,一个 Key 随时切 160+ 模型,挑出翻得最准又最省的那个

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pyVideoTrans

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  python@3.10
    
    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

Docker (containerized deployment):

# Build
docker build -t pyvideotrans-webui .

# Run
docker run -d -p 7860:7860 --name pyvideotrans pyvideotrans-webui

# With persistent config and output
docker run -d -p 7860:7860 \
  -v ./data/output:/app/output \
  -v ./data/config:/app/videotrans \
  --name pyvideotrans pyvideotrans-webui

WebUI documentation

5. (Optional) NVIDIA GPU Acceleration Configuration

If you have an NVIDIA graphics card, execute the following commands to install the CUDA-supported PyTorch version:

# Uninstall CPU version
uv remove torch torchaudio

# Install CUDA version (Example for CUDA 12.x)
uv add torch==2.7 torchaudio==2.7 --index-url https://download.pytorch.org/whl/cu128
uv add nvidia-cublas-cu12 nvidia-cudnn-cu12

AMD GPU acceleration via Whisper.NET

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Supported Channels & Models (Partial)

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Documentation & Support

• Official Documentation: https://pyvideotrans.com (Includes detailed tutorials, API configuration guides, FAQ)
• Online Q&A Community: https://bbs.pyvideotrans.com (Submit error logs for automated AI analysis and answers)
• GitHub Wiki: architecture.md | Add new Translator Channel | cli.md | webui.md | Synchronize.md | faq.md

Disclaimer

This software is an open-source, free, non-commercial project. Users are solely responsible for any legal consequences arising from the use of this software (including but not limited to calling third-party APIs or processing copyrighted video content). Please comply with local laws and regulations and the terms of use of relevant service providers.

Acknowledgements

This project mainly relies on the following open-source projects (partial):

• FFmpeg
• PySide6
• sherpa-onnx
• faster-whisper
• openai-whisper
• edge-tts
• F5-TTS
• Confucius4-TTS
• OmniVoice
• CosyVoice
• Gradio (WebUI)

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Created by jianchang512