Scripts2026年3月29日·1 分钟阅读

VideoCaptioner — AI Subtitle Pipeline

LLM-powered video subtitle tool: Whisper transcription + AI correction + 99-language translation + styled subtitle export. 13,800+ stars.

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快速使用

先拿来用,再决定要不要深挖

这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。

Download the latest release from GitHub Releases, or run from source:

git clone https://github.com/WEIFENG2333/VideoCaptioner.git
cd VideoCaptioner
pip install -r requirements.txt
python main.py

介绍

VideoCaptioner is a full subtitle pipeline — it transcribes video audio using Whisper, corrects errors and improves segmentation with an LLM, translates to 99 languages, and exports styled SRT/ASS subtitles. The GUI makes it accessible to non-technical users. 13,800+ GitHub stars.

Best for: Video creators needing accurate multilingual subtitles, translation agencies, content localization Works with: Windows/Mac/Linux, supports all major video formats

Part of the Video AI Toolkit collection.


Pipeline

Video → Whisper (transcription) → LLM (correction & segmentation)
    → Translation (99 languages) → Styled subtitle export (SRT/ASS)

Features

  • Whisper transcription: Multiple backend options for accuracy
  • LLM correction: Fixes recognition errors, improves sentence segmentation
  • 99 languages: Full multilingual translation support
  • Styled output: SRT and ASS format with customizable fonts, colors, positions
  • Batch processing: Process multiple videos in queue
  • GUI: User-friendly interface, no command-line needed

FAQ

Q: What is VideoCaptioner? A: An AI-powered subtitle generation tool that combines Whisper speech recognition with LLM-based correction and 99-language translation. 13,800+ GitHub stars.

Q: Is VideoCaptioner free? A: Yes, the tool is GPL-3.0 licensed. You need API keys for the LLM correction service.


🙏

来源与感谢

Created by WEIFENG2333. Licensed under GPL-3.0. VideoCaptioner — ⭐ 13,800+

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