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pyVideoTrans

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

中文 | Documentation | Online Q&A

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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.

<img width="1658" height="935" alt="image" src="https://github.com/user-attachments/assets/c5959e59-6014-480c-9a7d-44c2b1729d36" />

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✨ Core Features

• 🎥 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.

<img width="2752" height="1536" alt="unnamed" src="https://github.com/user-attachments/assets/960e9e34-84a4-425d-b582-f726623475a8" />

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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 (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, 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 --> 3.12
• FFmpeg: Must be installed and configured in the environment variables.
  • macOS: brew install ffmpeg libsndfile git
  • 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 -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Clone and Install

# 1. Clone the repository (Ensure path has no spaces/Chinese characters)
git clone https://github.com/jianchang512/pyvideotrans.git
cd pyvideotrans

# 2. Install dependencies (uv automatically syncs environment)
uv sync

# If you need local channels for qwen-tts and qwen-asr, please execute `uv sync --extra qwen-tts --extra qwen-asr`

4. Launch Software

Launch GUI:

uv run sp.py

Use CLI:

View documentation for detailed parameters

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

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

5. (Optional) 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

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🧩 Supported Channels & Models (Partial)

| Category | Channel/Model | Description | | :--- | :--- | :--- | | ASR (Speech Recognition) | Faster-Whisper (Local) | Recommended, fast speed, high accuracy | | | WhisperX / Parakeet | Supports timestamp alignment & speaker diarization | | | Alibaba Qwen3-ASR / ByteDance Volcano | Online API, excellent for Chinese | | Translation (LLM/MT) | DeepSeek / ChatGPT | Supports context understanding, more natural translation | | | MiniMax AI | MiniMax M2.7 LLM, latest flagship model, OpenAI-compatible | | | Google / Microsoft | Traditional machine translation, fast speed | | | Ollama / M2M100 | Fully local offline translation | | TTS (Speech Synthesis) | Edge-TTS | Microsoft free interface, natural effect | | | F5-TTS / CosyVoice | Supports Voice Cloning, requires local deployment | | | GPT-SoVITS / ChatTTS | High-quality open-source TTS | | | 302.AI / OpenAI / Azure | High-quality commercial API |

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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)

⚠️ 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
• faster-whisper
• openai-whisper
• edge-tts
• F5-TTS
• CosyVoice

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Created by jianchang512