text-anonymizer 0.1.0

A Python library for anonymizing and de-anonymizing text

Text Anonymizer

Text Anonymizer is a Python library that anonymizes text by replacing entities with placeholders and allows for de-anonymization. It uses the spaCy library for natural language processing and entity recognition.

Features

• Text anonymization by replacing entities with placeholders
• De-anonymization to restore original text
• Entity recognition for various types (PERSON, ORGANIZATION, LOCATION, EMAIL, URL, etc.)
• Command-line interface for easy usage

Installation

You can install the Text Anonymizer library using pip:

pip install text-anonymizer

This will also install the required dependencies, including spaCy.

After installation, you need to download the spaCy English language model:

python -m spacy download en_core_web_sm

Usage

As a Python Library

Here's a simple example of how to use the Text Anonymizer in your Python code:

from text_anonymizer import anonymize, deanonymize

# Original text
text = "John Smith from Acme Corporation called me at [e-mail]."

# Anonymize the text
anonymized_text, anonymization_map = anonymize(text)

print("Anonymized text:", anonymized_text)
# Output: [ENTITY_PERSON_1] from [ENTITY_ORG_1] called me at [ENTITY_EMAIL_1].

# De-anonymize the text
original_text = deanonymize(anonymized_text, anonymization_map)

print("Original text:", original_text)
# Output: John Smith from Acme Corporation called me at [e-mail].

Command-line Interface

Text Anonymizer also provides a command-line interface for easy usage:

# Anonymize a text file
text-anonymizer anonymize input.txt output.txt

# De-anonymize a text file
text-anonymizer deanonymize input.txt output.txt --map_file map.json

Documentation

For detailed documentation, including API reference and advanced usage, please visit our documentation page.

Development

To set up the development environment:

1. Clone the repository:

   git clone https://github.com/viktorbezdek/text-anonymizer.git
   cd text-anonymizer
   

2. Install Poetry (if not already installed):

   pip install poetry
   

3. Install dependencies:

   poetry install
   

4. Activate the virtual environment:

   poetry shell
   

5. Run tests:

   pytest
   

Contributing

Contributions are welcome! Please see our Contributing Guide for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

See CHANGELOG.md for a detailed history of changes.