Ross ROSS = Recommend OSS · open-source software intelligence for agents

chenyme/Chenyme-AAVT

这是一个全自动(音频)视频翻译项目。利用Whisper识别声音,AI大模型翻译字幕,最后合并字幕视频,生成翻译后的视频。 observed · 2026-08-28

github.com/chenyme/Chenyme-AAVT · Python · MIT (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 15
  • Release rhythm 8
  • Longevity 70

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 989
  • days_rel: n/a
  • days_push: 513
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3128 stars · 248 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Chenyme-AAVT is a fully automated audio/video translation application that uses Whisper (faster-whisper) for speech recognition, large language models like GPT-4, Claude, Gemini, and DeepSeek for subtitle translation, and merges the translated subtitles back into the video. It also supports standalone subtitle translation, AI-generated blog/marketing content, and voice simulation, with fully local and free deployment options.

Use cases

  • translate a video into another language automatically
  • generate subtitles from audio or video with whisper
  • translate srt subtitle files using an llm
  • dub or re-voice translated videos
  • auto-generate blog articles from video content
  • batch transcribe and translate lectures or talks
  • self-host a free video translation pipeline

When to choose

  • you want an end-to-end automated video translation workflow with minimal manual steps
  • you need local/free deployment without paid transcription services
  • you want flexible choice of LLM translation engines (ChatGPT, Claude, Gemini, DeepSeek, local models)
  • you need subtitle editing, preview, and styling before final video output

When to avoid

  • you need real-time live speech translation (still on the roadmap)
  • you require professional-grade human-quality dubbing or lip-sync correction
  • you only need simple transcription without translation
  • you need a lightweight CLI-only tool rather than a web application

Facets

application · maturity active

speech-recognition nlp video-processing llm-inference tts artificial-intelligence media python cross-platform self-hosted video-translation subtitle-generation whisper faster-whisper gpt-4 subtitle-translation audio-transcription ffmpeg natural-language-processing video docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
chenyme/Chenyme-AAVTmain10

For agents

markdown · JSON · MCP: product_card(name="chenyme/Chenyme-AAVT")

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