Metadata-Version: 2.4
Name: Imeti
Version: 1.0.2
Summary: Imeti - Local Image Privacy Tool
Author: Astrosp
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: customtkinter>=5.2.0
Requires-Dist: Pillow>=10.0.0
Requires-Dist: opencv-python>=4.8.0
Requires-Dist: piexif>=1.1.3
Requires-Dist: numpy>=1.24.0
Requires-Dist: tkintermapview>=1.29
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

<div align="center">
  <img src="imeti/assets/icon.png" alt="Imeti Logo" width="120" />
</div>

<h1 align="center">Imeti</h1>
<h3 align="center">Local Image Privacy Tool</h3>

<div align="center">

[![Python](https://img.shields.io/badge/Python-3.10+-blue?logo=python&style=for-the-badge)](https://python.org)
[![Platform](https://img.shields.io/badge/Platform-Windows%20%7C%20macOS%20%7C%20Linux-green?style=for-the-badge)](#installation)

**Protect your identity. Scrub your footprint. Keep it local.**

</div>

---

## Overview

**Imeti** is a fully local desktop application for image privacy and forensic analysis. It provides a suite of redaction and analysis tools that run entirely on your machine, with no data sent to the cloud.

It is intended for journalists protecting sources, security researchers analyzing suspicious files, and anyone who wants control over what their images reveal.

---

## Features

### Privacy & Redaction
- **Face Anonymization**: AI-powered face detection with four anonymization methods — Gaussian blur, pixelation, black bar, and solid fill.
- **Text Redaction**: Automatically detects text regions in an image and redacts them using the EAST model.
- **Metadata Scrubbing**: Remove all metadata or selectively strip EXIF, IPTC, XMP, GPS data, ICC profiles, and hidden thumbnails.
- **Batch Processing**: Anonymize and clean entire folders of images at once.

### Forensic Analysis
- **Steganography Scanner**: Detects hidden data payloads using LSB analysis, chi-square tests, and entropy analysis.
- **Watermark Detection**: Frequency-domain analysis to flag invisible watermarks.
- **Cryptographic Hashing**: Computes SHA-256, SHA-1, and MD5 hashes for file integrity verification.
- **Metadata Injection**: Deliberately inject custom or fake EXIF data to mislead trackers.

---

## Installation & Setup

### Prerequisites
- Python 3.10+

### 1. Clone & Install

```bash
# Clone the repository
git clone https://github.com/Astrosp/Imeti.git
cd Imeti

# Install dependencies
pip install -r requirements.txt
```

### 2. Run Imeti

```bash
python main.py
```

> **Note:** The first time you use Face Detection or Text Redaction, Imeti will briefly connect to the internet to download the required pre-trained AI models (~100MB). These are cached locally in the `models/` directory afterward.

---

## Usage Guide

1. **Load Media** — Drag and drop an image, click "Open Image," or select "Batch" to process a folder.
2. **Configure Options** — Use the sidebar to enable or disable Face Anonymization, Text Redaction, or Metadata Stripping.
3. **Analyze** — Run Steganography or Watermark scans from the forensic tools section.
4. **Process** — Click "Process" to apply the selected redactions.
5. **Save** — Click "Save" to export the sanitized image to disk.

---

## Privacy Guarantee

Imeti is designed to operate entirely offline:
- No telemetry
- No analytics
- No cloud APIs

Your data never leaves your computer.

---

## License

This project is licensed under the **MIT License**, free for personal use only. See the `LICENSE` file for details.
