README.md

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

pip install -r requirements.txt
python app.py

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