MonOCR: Production-Ready Mon Language OCR

MonOCR is an Optical Character Recognition (OCR) model engineered for the Mon language (mnw). Optimized for performance and accuracy, it accurately recognizes Mon characters from documents, digital texts, and scene images.

This repository serves as the official distribution point for MonOCR model weights in deployment-ready formats.

Software Development Kits

Unified SDKs are available for seamless integration into existing applications. These SDKs handle model caching, image preprocessing, and inference out-of-the-box.

SDK	Platform	Registry
monocr-onnx	Python	PyPI
monocr	Node.js	npm
monocr-go	Go	GitHub

Model Checkpoints

Format	Path	Intended Use Case
ONNX	onnx/monocr.onnx	Standard deployments (Server/Desktop).
TFLite (int8)	tflite/monocr.tflite	Extreme edge/mobile (Low latency, minimized size).
TFLite (fp16)	tflite/float16.tflite	High-efficiency mobile GPU acceleration.
TFLite (fp32)	tflite/float32.tflite	High-precision mobile inference.
PyTorch	pytorch/monocr.ckpt	Training, fine-tuning, and research.

Technical Specification

• Core Architecture: ResNet-18 Backbone + 2-layer BiLSTM + Linear CTC Head.
• Input Tensors: Grayscale (1-channel), 64px Height, Variable Width.
• Image Preprocessing: Aspect-ratio preserving resize to 64px height, followed by [0, 1] pixel normalization.
• Decoding Strategy: Connectionist Temporal Classification (CTC) Greedy Decoding.
• Vocabulary: 224 Mon characters, punctuation, and formatting symbols (see charset.txt).

Integration Guidelines

For developers building custom drivers:

1. Refer to charset.txt for the index-to-character mapping (Index 0 is reserved for <blank>).
2. Ensure input images are high-contrast and properly scaled to 64px height.
3. ONNX models use dynamic axes for width to support varying word lengths without padding.

License

All model weights and metadata are provided under the MIT License.

Citation

@software{monocr2026,
  author = {Janakh},
  title = {MonOCR: Production-Ready OCR for Mon Language},
  year = {2026},
  url = {https://huggingface.co/janakhpon/monocr}
}