DayBreak-u/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 83
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2379
- days_rel: n/a
- days_push: 107
- n_releases_24m: 0
Adoption not part of the score
12339 stars · 2276 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An ultra-lightweight Chinese OCR toolkit combining DBNet text detection, CRNN text recognition, and an angle classifier, with total model size of only 4.7M. It runs on CPU via ONNX Runtime and provides a Python CLI, a Tornado web service, and reference demos for C++, JVM, Android, and .NET.
Use cases
- extract Chinese text from images
- recognize vertical Chinese text in photos
- run OCR on CPU without a GPU
- batch-OCR images from scripts or agents with JSON output
- embed OCR into Android or C++ applications
- self-host a web OCR service
When to choose
- you need Chinese OCR with a very small model footprint
- you must run OCR on CPU-only machines or mobile devices
- you want a CLI with stable JSON output for automation
- you need multi-platform demos (C++, JVM, Android, .NET)
When to avoid
- you need high-accuracy OCR for complex layouts or many languages
- you require GPU-accelerated large-scale OCR pipelines
- you need handwriting recognition or table extraction
- GPL-2.0 licensing is incompatible with your project
Facets
library · maturity active
ocr image-processing machine-learning http-server cli computer-vision image-processing developer-tools python cpp jvm dotnet cross-platform windows chinese-ocr onnx-runtime ncnn dbnet crnn lightweight-models vertical-text text-detection text-recognition natural-language-processing android linux macos
1 source
- readme: https://github.com/DayBreak-u/chineseocr_lite · fetched 2026-08-28 · cdabf9ed91aa
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DayBreak-u/chineseocr_lite | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="DayBreak-u/chineseocr_lite")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem