Universal MonOCR package with ONNX bindings
Project description
MonOCR (Python SDK)
The official Python SDK for Mon language OCR, powered by ONNX Runtime. Optimized for high-throughput batch processing and production server environments.
Installation
pip install monocr-onnx
Features
- Parallel Processing: Native support for multithreaded batch OCR.
- Auto-Model Discovery: Automated caching of model weights from MonDevHub/monocr.
- Comprehensive API: Unified methods for images, PDFs, and accuracy benchmarking.
- Production CLI: Feature-rich command-line interface for rapid deployment.
Quick Start
from monocr_onnx import read_image, read_images
# Recognize single image
text = read_image("document.png")
# Parallel batch recognition
results = read_images(["img1.jpg", "img2.jpg"], workers=8)
API Reference
read_image(image_path, [options]) -> str
Recognize text from a single image file.
read_images(image_paths, [workers=4]) -> list[str]
Recognize text from a list of images in parallel.
read_pdf(pdf_path) -> list[str]
Extract text from all pages of a PDF document.
read_image_with_accuracy(image_path, ground_truth) -> dict
Performance benchmarking with Levenshtein-based accuracy metrics.
CLI Usage
# Recognize an image
monocr image input.jpg
# High-performance PDF conversion
monocr pdf document.pdf
# Batch directory processing
monocr batch ./input -o results.json
Maintenance
Maintained by MonDevHub.
License
MIT
- Python 3.9+
- poppler-utils (for PDF support via
pdf2image)
Release history Release notifications | RSS feed
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