DeepTrace ELA — Free Online Image Forensics Tool

By Shaheer Ul Hassan (Muhammad Shaheer) — Agentic AI & Systems Engineer

Upload any image to detect digital tampering, forgery, and JPEG compression anomalies using Error Level Analysis (ELA). Free, open-source, no signup required.

What is Error Level Analysis?

Error Level Analysis (ELA) is a digital image forensics technique that identifies regions with different compression levels within a JPEG image. When an image is modified (spliced, cloned, or airbrushed), the altered region carries a mismatched JPEG compression history. This tool re-compresses the uploaded image and computes pixel-level differences to highlight potential manipulation.

How to Use

Upload a JPEG, PNG, or WebP image (up to 10 MB)
Click "Run Forensic Analysis" to process the image
Review the ELA heatmap, verdict, and anomaly regions

Open Source Engine

Powered by deeptrace-ela — install via pip install deeptrace-ela. Read the full engineering breakdown: Engineering an NIST-Grade ELA Forensics Engine in Python →