MonOCR Web

A privacy-focused, in-browser OCR tool for the Mon language (mnw), built with Rust and WebAssembly.

Overview

MonOCR Web brings optical character recognition for the Mon script directly to the browser. By leveraging ONNX Runtime Web and a custom Wasm backend, it performs all processing locally on the user's device. This ensures zero data latency and complete privacy—no images are ever sent to a server.

Features

• Local Processing: Runs entirely in the browser using WebAssembly.
• Privacy First: No data collection or server-side processing.
• High Performance: Optimized CRNN models via ONNX Runtime.
• Mon Language Support: Specialized for recognizing Mon script.

Resources

Models & Data

• Hugging Face Models (CKPT, ONNX, TFLite, RTen)

SDKs & Packages

• Unified SDKs
• NPM Package
• PyPI - Raw
• PyPI - ONNX
• Go Package
• Tokenizer

Development

1. Install Dependencies

pnpm install

2. Prepare Local Assets (WASM)

To run locally, we need to copy the pre-built ONNX Runtime WASM files from node_modules to static/wasm/.

pnpm run copy-wasm

3. Start Dev Server

pnpm dev
# Note: This automatically runs copy-wasm before starting

Building for Production

To create a production build (static site):

pnpm build

Note: The build script automatically removes the large monocr.onnx model from the output to comply with Cloudflare's 25MB asset limit. In production, the model is fetched directly from Hugging Face.

Deployment (Cloudflare Pages)

This project is optimized for Cloudflare Pages.

1. Build Command: pnpm build
2. Output Directory: build
3. WASM Assets: Included automatically via static/wasm/ (ensure these are committed to git).
4. Model: Served from Hugging Face (configured in src/lib/config.ts).

Manual Deploy (Wrangler)

If you have wrangler installed/configured:

npx wrangler deploy

(This uses the wrangler.json configuration to deploy the build folder).

License

MIT