🔍 Document Tampering Detection
Upload a document image to detect forged or tampered regions using Hedi model.
How it works:
- The model analyzes JPEG compression artifacts
- Red regions indicate potential tampering
- Works best on JPEG images of documents
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Examples
| Upload Document Image | JPEG Quality for DCT Analysis |
|---|
ℹ️ About
** Document Tampering Detector** is a deep learning model designed to detect forged text in document images.
Features:
- Analyzes JPEG compression artifacts using DCT (Discrete Cosine Transform)
- Detects copy-paste, splicing, and text manipulation
- Works on scanned documents, photos of documents, and digital documents
Limitations:
- Requires JPEG images for DCT analysis
- May produce false positives on low-quality scans
- Performance varies with JPEG compression quality