
jzsub
JZSub — 一条视频链接,自动交付最高画质、封面和 GPT 双语字幕 MP4。
The Lens
jzsub takes a video link and hands back a finished MP4: highest quality available, cover art, and bilingual subtitles burned in, translated by GPT. It works across YouTube, Bilibili, TikTok, Vimeo, and anything else yt-dlp can reach. MIT licensed and free; you bring your own LLM key for the translation step.
The setup is the tax. Python 3.10+, yt-dlp, Deno, and an FFmpeg build compiled with libass for subtitle rendering, plus a specific font. That FFmpeg requirement is what trips people up. The docs are Chinese-first, so English speakers are translating as they go.
Use it if you archive or localize video with dual-language captions and want one command instead of a four-tool pipeline. For plain downloads, yt-dlp alone is simpler. For transcription without the download step, Whisper-based tools do the job.
The catch: this is one maintainer's pipeline, tuned to their workflow. If your FFmpeg build or font doesn't match, you're debugging the plumbing yourself.
Free vs Self-Hosted vs Paid
fully freeFree: The whole pipeline: download, cover art, subtitle generation, translation, and burn-in.
Self-hosted: It's a local CLI. The dependency chain is the real cost: Python 3.10+, yt-dlp, Deno, FFmpeg with libass, and the MiSans Bold font.
Paid: No paid tier. The GPT translation step bills against your own API key.
Free and open source. Subtitle translation costs whatever your own LLM API charges.
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Trust Signals
License: MIT License
Use freely, including commercial. Just keep the license.
Commercial use: ✓ Yes
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