How to Translate and Dub Videos with VideoLingo: Docker Setup Tutorial

In this hands-on tutorial you will deploy VideoLingo with Docker and turn a raw video into translated, subtitle-aligned and dubbed output — all from a web browser. You need a machine with at least 4 GB of RAM (8 GB recommended) and an API key for the LLM of your choice.

Step 1 — Start the container

Pull the community image and run the Streamlit app on port 8080:

docker run -d --name videolingo -p 8080:8080 -v ./videolingo-data:/data rqlove/videolingo:latest

Open http://localhost:8080 and the setup wizard greets you.

Step 2 — Configure providers

Paste your LLM API key (OpenAI, DeepSeek, Gemini or any OpenAI-compatible endpoint) and, optionally, a TTS provider for dubbing. WhisperX transcription runs locally inside the container.

Step 3 — Run the pipeline

1. Upload a video or paste a YouTube URL
2. Pick source and target languages
3. Click Start and watch each stage complete: transcription → segmentation → translation → alignment
4. Preview subtitles, fine-tune any line, then export SRT/VTT

What to expect

In our test run, a 10-minute English video became natural German subtitles in about three minutes, with perfectly aligned sentence-level timestamps. Dubbing added roughly one minute of processing per minute of footage.

VideoLingo is one of the simplest self-hosted subtitle pipelines to operate — if you can run a Docker container, you can run an AI localization studio.