VerivaBETA
Media forensics, for everyone

Is it real?
Get the analysis.

Six forensic detectors and four neural specialists scan every pixel, frequency, and byte of metadata — pooling their analysis into a single, unified trust score. Your media is processed securely in memory and instantly destroyed, ensuring total privacy.

forensic detectors
6
forensic detectors
neural specialists
4
neural specialists
pixels retained
0
pixels retained
analyses per scan
10
analyses per scan
Coming soon

Native iOS & Android Apps

Zero-log media scanning directly from your device.

Full-Frame Video Analysis

Temporal deepfake detection and frame-by-frame anomaly scoring.

Analysis report

Synthetic

confidence 96.9%

97%
Neural specialists
100%
Spectral analysis
78%
Compression forensics
45%
Sensor noise
38%
Pixels destroyed 0.4s after analysis · receipt attached
generator-metadata-v1spectral-falloff-v1ela-recompress-v1noise-consistency-v1face-region-consistency-v1vit-deepfake-v1sdxl-detector-v1ai-image-swinv2-v1ai-vs-human-siglip-v1generator-metadata-v1spectral-falloff-v1ela-recompress-v1noise-consistency-v1face-region-consistency-v1vit-deepfake-v1sdxl-detector-v1ai-image-swinv2-v1ai-vs-human-siglip-v1

Five trust levels. Zero guesswork.

Every score is a pooled probability across all detectors — never one model's opinion.

Verified Authentic

signed C2PA credentials

Likely Authentic

0–30% AI probability

Inconclusive

30–55% AI probability

Likely Altered

55–80% AI probability

Synthetic

80–100% AI probability

How the pipeline works

Like a multi-layered security grid — no single anomaly triggers an alert, but combined cryptographic and visual data provide absolute clarity.

01

Zero-Log Fingerprinting

SHA-256 and perceptual hashing run locally before a single byte leaves your device. If the network has already analyzed the media, it returns an instant score — no upload required.

02

Ensemble Detection

Metadata forensics, spectral falloff, compression analysis, and sensor-noise mapping — plus four neural specialists scanning across independent visual domains to catch what the human eye misses.

03

Weighted Consensus

A sophisticated log-odds pooling architecture. Weak signals are filtered out, while compounding evidence from highly confident, uncorrelated models is fused into a single authenticity score.

The next image you doubt — scan it.

Free while in development. Sign in with Google and get a full forensic report in seconds.

Start scanning