LiYing
LiYing is an automated photo processing program designed for automating the post-processing workflow of ID photos in general photo studios. | LiYing 是一套适用于自动化 完成一般照相馆后期证件照处理流程的照片自动处理的程序。
Concise Brief · Core Value & Positioning
Jargon-free breakdown of core value and deliverable form
Automated ID-photo post-processing for studios: background replacement, cropping, compression and print layout in one pipeline.
Media & Images
Library / Core SDK
Python · AGPL-3.0
Next star milestone
5,000 ★
3,907 / 5,000 · 78%
7-day net growth +202
Star history
Tracking 103 verified historical snapshots
Maintenance & community signals
- Last push
- 2026-10-03
- Fork / Star
- 9.5%
- 7-day net stars
- +202
Public metadata does not certify product quality, code safety or authentic stars. Value assessment requires separate evidence.
Geek Clone & Cloud Code Inspector
1-click clone or inspect source code & AI architecture online
Cloning downloads the source; follow the project README for dependencies and installation.
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GitValue · Value evidence
Unscored · Evidence coverage 0%
Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.
Frequently Asked Questions about LiYing
What is aoguai/LiYing (LiYing) and what problem does it solve?
Automated ID-photo post-processing for studios: background replacement, cropping, compression and print layout in one pipeline. Maintained by aoguai and primarily written in Python, it is ranked in the Media & Images category on GitRank.
How fast is LiYing growing on GitHub?
aoguai/LiYing has 3,907 stars and 372 forks in the latest snapshot, with +202 net stars over seven days. These are community and activity signals rather than proof of project quality.
Which related projects can I compare with LiYing?
Related-use or topic candidates include harry0703/MoneyPrinterTurbo, hypit-ai/hypit, HBAI-Ltd/Toonflow-app, ImageMagick/ImageMagick. Related does not mean feature-equivalent; check official documentation and licenses.
How do I install or clone LiYing?
You can clone the repository directly via `git clone https://github.com/aoguai/LiYing.git` and follow the official README instructions on GitHub.