Artefex¶
Neural forensic restoration - diagnose and reverse media degradation chains.
Every image on the internet has been through hell: screenshotted, re-compressed, platform-resized, color-shifted, watermarked, and re-shared dozens of times. Existing tools blindly upscale or denoise. Artefex is different - it first diagnoses what happened to your media, then reverses each step specifically.
Think of it as git log for media degradation, followed by intelligent undo.
Why Artefex?¶
| Other tools | Artefex | |
|---|---|---|
| Approach | Blindly upscale/denoise everything | Diagnose first, then reverse each degradation step |
| Analysis | None | 13 forensic detectors - JPEG artifacts, platform fingerprinting, AI detection, steganography, forgery |
| Restoration | One-size-fits-all filter | Targeted fix per degradation - neural (ONNX) with classical fallback |
| Extensibility | Closed | Plugin system for custom detectors and restorers |
| Interface | Usually GUI-only | CLI + Python API + Web UI + Docker |
Quick start¶
pip install artefex[all]
# Diagnose what happened to an image
artefex analyze photo.jpg
# Get a quality grade (A-F)
artefex grade photo.jpg
# Reverse the degradation chain
artefex restore photo.jpg
# Full forensic audit
artefex audit photo.jpg
Next steps¶
- Getting Started - installation options and first steps
- CLI Reference - all 31 commands
- Python API - programmatic usage
- Detectors - what Artefex can detect and how
- Architecture - how the system works
- Contributing - how to get involved