Reading the repo
Opening the box…
Reading the repo
Opening the box…
Assembly instructions
Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组
Saved setup from 39 min ago
Will it work on macOS?
Then run bash setup.sh. It stops at the first error and is safe to run again. Servers and tests aren't started; it lists them at the end. Read it first.
Needs Git: xcode-select --install
git clone https://github.com/Huanshere/VideoLingo.git cd VideoLingo
Python 3.x (no version pinned), Docker
brew install python brew install --cask docker # Docker Desktop
python -m venv .venv source .venv/bin/activate pip install -r requirements.txt
VideoLingo supports Windows, macOS (Apple Silicon / Intel), and Linux.
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.
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.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.
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
No reports for macOS yet.
GitManual AI Agent reads the 4 key files and writes a step-by-step guide for macOS. Once written, it's saved for everyone.