GraphCanon updated 3w · GitHub synced 3w
Decision brief
Pyvideotrans is a Python-based tool aimed at video language translation, embedding dubbing and subtitles.
Good fit when
- When you need to translate videos into different languages with embedded dubbing and subtitles directly in the video content.
- If your workflow requires GPU acceleration to speed up processing, as pyvideotrans supports CUDA and cuDNN installation for enhanced performance.
Avoid when
- Avoid using if targeting an environment with Chinese character paths or spaces within directory names, as noted setup instructions emphasize avoiding such paths.
- If real-time video translation capabilities are required; the tool is intended for batch processing of files and might not be suitable for live streaming scenarios.
- Requirements:
- CUDA 12.8 and cuDNN 9.11 are required for GPU acceleration.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (5d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pyvideotransSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
pyvideotrans is a project for translating videos from one language to another with capabilities for embedding dubbing and subtitles.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 29, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 29, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
We provide a pre-packaged `.exe` version for Windows 10/11 users, requiring no Python environment configuration.Source link
Tags
README
🚀 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.exeinside 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)
---
### 3. Clone and Install
```bash
git clone https://github.com/jianchang512/pyvideotrans.git
cd pyvideotrans
uv sync
By default,
whisper.netandWebUIare 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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For agents
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