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Huanshere/VideoLingo

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 observed · 2026-08-28

github.com/Huanshere/VideoLingo · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 72
  • Longevity 53
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1.0
  • age_days: 754
  • days_rel: 186
  • days_push: 10
  • n_releases_24m: 43

Full methodology

Adoption not part of the score

18266 stars · 2013 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VideoLingo is an all-in-one AI video translation, localization, and dubbing tool that produces Netflix-quality single-line subtitles with word-level alignment via WhisperX. It automates the full pipeline from YouTube download through NLP/LLM-based subtitle segmentation, multi-step translation, and cloned-voice dubbing via GPT-SoVITS, Azure, OpenAI, and other TTS providers.

Use cases

  • translate youtube videos into another language with subtitles
  • add ai-generated dubbing with cloned voice to videos
  • generate netflix-style single-line subtitles automatically
  • localize video content for international audiences
  • transcribe and align subtitles word-by-word
  • batch translate video content for social media reposting

When to choose

  • you want a one-click, end-to-end video translation and dubbing pipeline
  • you need high-quality single-line subtitles that meet Netflix standards
  • you want voice cloning dubbing with GPT-SoVITS or multiple TTS options
  • you prefer a Streamlit UI with resumable, logged processing steps

When to avoid

  • you need real-time or live-stream translation
  • you want fully offline processing without any LLM API (though Ollama/Edge TTS is possible with reduced quality)
  • you need multi-line or stylized subtitle formats
  • you lack a GPU or API budget and need top-tier transcription/dubbing quality

Facets

application · maturity active

speech-recognition tts nlp machine-learning video-processing internationalization llm-inference gui media artificial-intelligence windows python self-hosted subtitle-translation dubbing voice-cloning whisperx yt-dlp streamlit netflix-style-subtitles video-localization video localization natural-language-processing automation macos linux docker gpu

4 sources

Member repositories

RepositoryRoleHealth v2
Huanshere/VideoLingomain80

For agents

markdown · JSON · MCP: product_card(name="Huanshere/VideoLingo")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem