Tools/pengchujin/jzsub

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。

583nascentPythonMIT Licensenew this week

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 free

Free: 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.

Self-hosting ops:moderate

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Score
65/100 · B
Adoption8/30
Maintenance25/25
Community7/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

Author also built: pengchujin/esp8266-ai (172 stars)

License: MIT License

Use freely, including commercial. Just keep the license.

Commercial use: ✓ Yes

About

Owner
pengchujin (User)
Stars
583
Forks
70

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