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pyvideotrans

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jianchang512/pyvideotrans

Translate the video from one language to another and embed dubbing & subtitles.

GitHub Website

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Python GPL-3.0Created Oct 2, 2023

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Maintenance
Very active (0d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
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No lockfile
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Overview

Translate the video from one language to another and embed dubbing & subtitles.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Vector DatabasesModel TrainingInference & Serving

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

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

Tags

text-to-speechspeech-to-textpythonvideo-transition

README

🚀 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, 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.

2. Install uv (If not installed)


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### 3. Clone and Install

```bash
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

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](docs/whisper_net_setup.md)

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