# OCR Quality Assessment Pipeline Demo

This demo showcases the **OCR Quality Assessment Pipeline** from the Impresso project, which analyzes and improves text extracted from OCR (Optical Character Recognition).

## Features

- **OCR Error Detection**: Identifies common OCR mistakes and artifacts
- **Quality Assessment**: Evaluates the overall quality of OCR text  
- **Text Correction**: Suggests improvements for detected errors
- **Interactive Interface**: User-friendly Gradio web interface

## Usage

The demo accepts OCR text input and provides:
- Quality assessment scores
- Detected OCR errors
- Suggested corrections
- Processed/improved text

## Example

Try the provided German text example that contains typical OCR errors like:
- Character misrecognition (e.g., "Zaubrisch" instead of "Zauberisch")
- Spacing issues (e.g., "nacb" instead of "nach")
- Punctuation errors (e.g., "d:m" instead of "dem")

## Installation

```bash
pip install -r requirements.txt
python app.py
```

The demo will be available at `http://localhost:7860`