Detect Media Alterations
MediaChecker transitions beyond basic detection filters. We evaluate localized edits, compositing, and frequency-domain structure across six independent forensic engines to distinguish between native captures and synthetic reconstructions.
Forensic Methodology
Compression Analysis
Pixel Forensic Scan
Metadata Integrity
We analyze pixel-level inconsistencies and discrete cosine transform coefficients to identify generational loss and multi-stage re-saving artifacts.
Examination of frequency-domain structures to isolate synthetic textures, diffusion noise patterns, and generative reconstruction anomalies in image headers.
Deep forensic inspection of EXIF, XMP, and IPTC manifests to verify hardware provenance and detect potential stripping of authenticity signatures.
Sensor Reality
Optical capture characteristics remaining in the pixels
Synthetic Indicators
Generative reconstruction and illustration structure
Manipulation Indicators
Localized edits, compositing, inpainting
Generation Originality
How close this file is to a first-generation encode
Secondary Capture
Screen, print, or other intermediary recapture
Provenance Availability
Camera metadata, manifests, identity — not authenticity
Same paddock. Two forensic objects.
A camera still versus an AI artistic transformation of that still. Cropping is not an edit. Reconstruction is.
MediaChecker analysis
LIKELY CAMERA-DERIVED WITH NATIVE PROCESSING
Confidence HIGH · Evidence STRONG
Sensor Reality
Manipulation Indicators
89
16
Synthetic Indicators
Secondary Capture
6
Generation Originality
86
11
Provenance Availability
88
MediaChecker analysis
MATERIALLY TRANSFORMED
Confidence HIGH · Evidence STRONG
Sensor Reality
Synthetic Indicators
Manipulation Indicators
91
21
Generation Originality
72
Secondary Capture
18
Provenance Availability
9
8
Check Before You Believe
Click or drag media here to start forensic check
15 free analyses / month · no media retained