Bilingual Subtitles — Development skill for Claude Code
Burn beautiful bilingual (CJK over Latin) subtitles into video.
How to install Bilingual Subtitles
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open zarazhangrui/bilingual-subtitles and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Bilingual Subtitles does
Burn beautiful bilingual (CJK over Latin) subtitles into video. A Claude skill, no libass required.
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README
bilingual-video-subtitles
A [Claude Code](https://claude.com/claude-code) / Claude Agent skill that burns beautiful **bilingual subtitles** into a video: one language on top (say Chinese) in a rounded box, the other below it (say English, bold), white text, centered or shifted to clear a corner webcam.
It was built for Chinese over English, but it works for any CJK over Latin pair.
Why it exists
Most subtitle tutorials tell you to use ffmpeg's `subtitles=` or `ass=` filter. That filter needs **libass**, and many ffmpeg builds (including Homebrew's slim `ffmpeg`) ship without it, so the command just fails.
This skill sidesteps that entirely. It renders each caption as a transparent PNG with Pillow, then composites the PNGs onto the video with ffmpeg's `overlay` filter, which every build has. Bonus: you get pixel perfect rounded boxes and true bold CJK that libass cannot easily produce.
No libass, no cloud service, no API keys.
What it handles for you
- Two stacked caption boxes, styled and auto scaled to the video's resolution.
- Smart wrapping: an embedded Latin word (Claude, HTML, Figma, Lissajous) is treated as atomic and never breaks across lines.
- Chinese line head rules (行首禁则): punctuation never starts a line, it hangs on the previous line.
- Auto splitting of any caption that would orphan a single word or run past 3 lines, into shorter timed cues at a clause boundary.
- Fake bold for the CJK line so its weight matches a bold Latin font.
Requirements
python3with Pillow (pip install pillow)ffmpegandffprobeon your PATH- Optional, only if you start from a video with no transcript:
faster-whisper
(
pip install faster-whisper) for the transcription step. The burn engine itself needs neither this nor any network.
Install as a skill
Clone into your Claude skills folder:
git clone https://github.com/zarazhangrui/bilingual-subtitles.git
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