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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
zrt-ai-lab avatar

Videocut Subtitle

zrt-ai-lab/opencode-skills
512 installs266 stars
Summary

This handles the full subtitle workflow for Chinese videos: transcribes with Whisper, applies dictionary corrections for brand names and technical terms, outputs clean text in 15-character lines for review, then matches your edits back to timestamps and burns them in with FFmpeg. The two-pass approach is smart because automated transcription always needs human review, especially for proper nouns. It enforces sensible rules like no line breaks mid-screen and no trailing punctuation. You can tweak styling (yellow text, larger fonts, top positioning) but the default white-on-black works for most cases. If you're cutting Chinese content and tired of manually syncing subtitle edits, this compresses a tedious multi-tool process into one flow.

Install to Claude Code

npx -y skills add zrt-ai-lab/opencode-skills --skill videocut-subtitle --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

字幕

转录 → 纠错 → 审核 → 匹配 → 烧录

流程

1. 转录视频(Whisper)
    ↓
2. 词典纠错 + 分句
    ↓
3. 输出字幕稿(纯文本,一句一行)
    ↓
【用户审核修改】
    ↓
4. 用户给回修改后的文本
    ↓
5. 我匹配时间戳 → 生成 SRT
    ↓
6. 烧录字幕(FFmpeg)

转录

使用 OpenAI Whisper 模型进行语音转文字:

whisper video.mp4 --model medium --language zh --output_format json
模型用途
medium默认,平衡速度与准确率
large-v3高精度,较慢

输出 JSON 包含逐词时间戳,用于后续 SRT 生成。


字幕规范

规则说明
一屏一行不换行,不堆叠
≤15字/行超过15字必须拆分(4:3竖屏)
句尾无标点你好 不是 你好。
句中保留标点先点这里,再点那里

词典纠错

读取 词典.txt,每行一个正确写法:

skills
Claude
iPhone

我自动识别变体:claude → Claude


字幕稿格式

我给用户的(纯文本,≤15字/行):

今天给大家分享一个技巧
很多人可能不知道
其实这个功能
藏在设置里面
你只要点击这里
就能看到了

用户修改后给回我,我再匹配时间戳生成 SRT。


样式

默认:24号白字、黑色描边、底部居中

可选样式:

样式说明
默认白字黑边
黄字黄字黑边(醒目)

用户可说:

  • "字大一点" → 32号
  • "放顶部" → 顶部居中
  • "黄色字幕" → 黄字黑边

输出

01-xxx_字幕稿.txt   # 纯文本,用户编辑
01-xxx.srt          # 字幕文件
01-xxx-字幕.mp4     # 带字幕视频
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Categories
AI & Agent BuildingVideo & Audio Editing
First SeenJun 3, 2026
View on GitHub

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