GitHub - jianchang512/pyvideotrans: Translate the video from one language to another and embed dubbing & subtitles.

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pyVideoTrans

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

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.

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.

Quick Start (Windows Users)

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

• Download : Click to download the latest pre-packaged version

• Unzip : Extract the compressed file to a path without Chinese characters or spaces (e.g., D:\pyVideoTrans ).

• 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.

️ 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.

1. 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 "

1. 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

1. 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

1. (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

AMD GPU acceleration via Whisper.NET

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 M3 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

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 | 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)

Created by jianchang512

— 本文由 AI 根据公开来源辅助整理，命令、版本与许可证请在使用前到原始页面复核。