# VideoLingo

> Automated video subtitle translation, alignment, and dubbing pipeline

VideoLingo automates video translation by combining speech recognition, AI subtitle segmentation, natural translation, and dubbing. It provides word-level alignment, custom terminology support, and integration with multiple text-to-speech backends. Users run it locally via a Streamlit web interface, Docker, or an HTTP API.

- Source: https://github.com/Huanshere/VideoLingo
- Homepage: https://docs.videolingo.io
- Live demo: https://videolingo.io/
- License: Apache-2.0
- Built with: Python 87.7%, Jupyter Notebook 11.6%, Other 0.7%
- Stars: 19001
- Forks: 2092
- Contributors: 24
- Last commit: 2026-09-30
- Latest release: v3.1.1 (2026-09-27)
- Purpose: AI & LLM tooling, Media & photos
- Type: Web, Docker / self-host, CLI
- For: Personal

## Worth score: 78/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 21/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 10/15
- Readiness: 12/15

## Downloads

Latest release: [VideoLingo v3.1.1 ✨](https://github.com/Huanshere/VideoLingo/releases/tag/v3.1.1). Files from the project's GitHub release, not checked by DigGitHub.

Source code only: this release has no files to download.

## Alternatives

- [ebook2audiobook](https://diggithub.com/DrewThomasson/ebook2audiobook.md): Convert e-books to audiobooks with local text-to-speech engines
- [Applio](https://diggithub.com/IAHispano/Applio.md): Simple voice conversion tool
- [GPT-SoVITS](https://diggithub.com/RVC-Boss/GPT-SoVITS.md): Few-shot voice cloning and text-to-speech
- [pyvideotrans](https://diggithub.com/jianchang512/pyvideotrans.md): Translate videos with speech recognition, subtitles, and AI dubbing
- [MoneyPrinterTurbo](https://diggithub.com/harry0703/MoneyPrinterTurbo.md): Generate short videos from a topic with AI

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Source page: https://diggithub.com/Huanshere/VideoLingo
Updated: 2026-10-30