# Dots.OCR Service - Hugging Face Spaces Deployment Guide

## ✅ Ready for Deployment

The dots-ocr service is now fully self-contained and ready for deployment to Hugging Face Spaces.

## Files Updated

- **`app.py`** - Fixed import paths to be self-contained
- **`models.py`** - Created local data structures (ExtractedField, IdCardFields, MRZData)
- **`field_extraction.py`** - Created local field extraction module
- **`Dockerfile`** - Updated for HF compliance with proper user permissions
- **`README.md`** - Updated with proper HF Spaces configuration

## Deployment Steps

### 1. Create Hugging Face Space

```bash
# Login to Hugging Face
huggingface-cli login

# Create a new Space
huggingface-cli repo create dots-ocr-idcard --type space --space_sdk docker --organization algoryn
```

### 2. Deploy to HF Space

```bash
# Clone the space locally
git clone https://huggingface.co/spaces/algoryn/dots-ocr-idcard
cd dots-ocr-idcard

# Copy all files from this repository
cp /Users/tmulder/Sources/Algoryn/kybtech-dots-ocr/* .

# Commit and push
git add .
git commit -m "Deploy Dots.OCR text extraction service"
git push
```

### 3. Test the Deployment

Once deployed (usually takes 5-10 minutes), test with:

```bash
# Basic OCR test
curl -X POST https://algoryn-dots-ocr-idcard.hf.space/v1/id/ocr \
  -H "Authorization: Bearer YOUR_HF_TOKEN" \
  -F "file=@test_image.jpg"

# With ROI (region of interest)
curl -X POST https://algoryn-dots-ocr-idcard.hf.space/v1/id/ocr \
  -H "Authorization: Bearer YOUR_HF_TOKEN" \
  -F "file=@test_image.jpg" \
  -F 'roi={"x1":0.1,"y1":0.1,"x2":0.9,"y2":0.9}'
```

## Features

- **Self-contained**: No external dependencies on parent repository
- **HF Compliant**: Follows Hugging Face Docker Spaces best practices
- **Mock Mode**: Falls back to mock implementation if Dots.OCR fails to load
- **ROI Support**: Process pre-cropped images or full images with ROI coordinates
- **Field Extraction**: Structured field extraction with confidence scores
- **MRZ Detection**: Machine Readable Zone data extraction

## API Endpoints

- `GET /health` - Health check
- `POST /v1/id/ocr` - Text extraction with optional ROI

## Environment Variables

No special environment variables needed. The service runs on port 7860 by default.

## Performance

- **GPU**: 300-900ms processing time
- **CPU**: 3-8s processing time
- **Memory**: ~6GB per instance

## Privacy

This endpoint processes images temporarily and does not store or log personal information. All field values are redacted in logs for privacy protection.