TrueOCR
OCR tiếng Việt tốc độ cao trên CPU. Đọc ảnh nhiều dòng hoặc crop một dòng; trả về text, bbox và confidence. Model khoảng 8 MB kèm trong package, chạy offline, không cần GPU hay PyTorch.
Tốc độ CPU
Xeon Platinum 8358P, 1 thread, batch 1, cùng 128 crop × 3 lượt/model @TrueOCR 0.1.0.
| Model | p50, ms/crop ↓ | p95, ms/crop ↓ | p50 / TrueOCR |
|---|---|---|---|
| TrueOCR 0.1.0 | 1.54 | 2.35 | 1.0× |
| Tesseract fast | 5.89 | 15.29 | 3.8× |
| PaddleOCR v6 tiny | 10.76 | 12.29 | 7.0× |
| Tesseract best | 20.24 | 49.06 | 13.2× |
| PaddleOCR v5 Latin mobile | 29.43 | 30.79 | 19.1× |
| EasyOCR latin_g2 | 30.03 | 68.90 | 19.5× |
| VietOCR vgg_seq2seq | 71.77 | 98.01 | 46.7× |
| VietOCR vgg_transformer | 137.85 | 231.45 | 89.7× |
Đo latency của crop recognition, gồm preprocessing, inference và text decoding. Không gồm model loading, image I/O hay text detection cho cả trang. Benchmark setup, baseline config và số liệu từng request.
Quick Start
Python ≥3.10.
pip install trueocr
from trueocr import load_model
model = load_model() # Load một lần, dùng lại cho nhiều ảnh
result = model.predict("anh.jpg")
print(result.text)
Mặc định đọc ảnh nhiều dòng. Với crop một dòng:
model.predict("crop.png", mode="line"). Lấy bbox và confidence qua
result.lines; lưu text, JSON và ảnh bbox bằng result.save("output").
CLI: trueocr anh.jpg --out output/.
Chất lượng và giới hạn
Model dùng cho chữ in tiếng Việt. Handwriting, scene text và font lạ còn yếu; crop quá rộng hoặc chứa nhiều dòng dễ sai. Kết quả theo dataset.
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Total release size: 14.8 MB
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