Optical Character Recognition for Mon text
Project description
Mon OCR
Optical Character Recognition for Mon (mnw) text.
Installation
pip install monocr | uv add monocr
Quick Start
Python Usage
from monocr import MonOCR
# Initialize
model = MonOCR()
# 1. Read an Image
text = model.read_text("image.png")
print(text)
# 2. Read with Confidence
result = model.predict_with_confidence("image.png")
print(f"Text: {result['text']}")
print(f"Confidence: {result['confidence']:.2%}")
Examples
See the examples/ folder to learn more.
examples/run_ocr.py: A complete script that can process a folder of images or read a full PDF book.- Or a demo notebook to play around with the package
notebooks/demo.ipynb
CLI Usage
You can also use the command line interface:
# Process a single image
monocr read image.png
# Process a folder of images
monocr batch folder/path
# Manually download the model
monocr download
Resources
Development
Release Workflow
uv version --bump patch
uv build
git add .
git commit -m "bump version"
git tag v0.1.19
git push origin main --tags
License
MIT - do whatever you want with it.
Project details
Release history Release notifications | RSS feed
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