Huanshere/VideoLingo

VideoLingo supports Windows, macOS (Apple Silicon / Intel), and Linux.

Ask your local AI agent 🤖

If you use an AI agent that can operate your computer, send it this prompt:

Install and launch GitHub's Huanshere/VideoLingo on my computer.

Windows: one-click install 🎉

1. Download Source code (zip) from the latest Release, extract it to your Desktop or another folder, and open the folder.
2. Double-click OneKeyStart.bat and keep the window open. On the first run, it automatically installs uv, Python 3.12, the app dependencies, and FFmpeg. An internet connection is required.
3. After installation, VideoLingo opens automatically in your browser. Enter your API URL, key, and model in the sidebar to start using it.

Install from source (Windows, macOS, Linux)

git clone https://github.com/Huanshere/VideoLingo.git && cd VideoLingo
uv run start.py

To start it later, run uv run start.py again from the VideoLingo folder. Apple Silicon uses MLX; Intel Macs use CPU recognition. By default, Intel Mac dubbing uses the new voice without the original background sound.

Docker (optional)

For a Linux NVIDIA container deployment, install Docker, a compatible GPU driver and the NVIDIA Container Toolkit. The image uses the same Python 3.12 setup and application dependencies, with CUDA 12.8.1/cu128 by default. See Docker docs for the matched CUDA 12.6 alternative and persistence settings.

docker build -t videolingo .
docker run -d -p 8501:8501 --gpus all videolingo