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

WEIFENG2333/VideoCaptioner

🎬 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手 - 视频字幕生成、断句、校正、字幕翻译全流程处理!- A powered tool for easy and efficient video subtitling. observed · 2026-08-28

github.com/WEIFENG2333/VideoCaptioner · homepage · Python · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 93
  • Release rhythm 89
  • Longevity 47
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: 17.0
  • age_days: 671
  • days_rel: 77
  • days_push: 45
  • n_releases_24m: 11

Full methodology

Adoption not part of the score

15764 stars · 1356 forks observed · 2026-08-28

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

VideoCaptioner is an open-source AI-powered video subtitling tool that handles the full pipeline: speech recognition, LLM-based subtitle segmentation and correction, translation, and burning subtitles into video. It ships as both a desktop GUI and a CLI, with free built-in ASR and translation options plus optional LLM API integration.

Use cases

  • generate subtitles for a video automatically
  • translate srt subtitles to another language
  • fix and re-segment auto-generated subtitles with an LLM
  • burn subtitles into a video file
  • transcribe video audio to text for free
  • add translated captions to videos for international audiences
  • download a YouTube video and caption it

When to choose

  • you want an end-to-end subtitle workflow without stitching multiple tools
  • you need a free, offline-capable option (Bijian ASR, Bing/Google translation)
  • you prefer both a GUI desktop app and scriptable CLI
  • you want LLM-polished subtitles with terminology correction at low cost

When to avoid

  • you need real-time live captioning
  • you require only manual subtitle editing without AI features
  • you need permissive licensing for proprietary redistribution (GPL-3.0)
  • you need enterprise-grade batch processing pipelines

Facets

application · maturity active

speech-recognition nlp llm-inference video-processing cli gui internationalization media artificial-intelligence developer-tools windows python cross-platform subtitles asr whisper captioning subtitle-translation srt llm video-subtitling video natural-language-processing macos linux docker

5 sources

Member repositories

RepositoryRoleHealth v2
WEIFENG2333/VideoCaptionermain82

For agents

markdown · JSON · MCP: product_card(name="WEIFENG2333/VideoCaptioner")

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