Detect AI Images
Forensic-level analysis for digital media authenticity. Detect deepfakes and AI artifacts instantly.
Advertisement
See the Invisible
Our advanced AI analysis reveals hidden artifacts and manipulation traces that the naked eye misses.
Surface Analysis
Instantly identify AI-generated textures and unnatural smoothness typical of generative models like Midjourney and DALL-E 3.
Error Level Analysis
Detect manipulation through invisible compression inconsistencies and digital fingerprinting artifacts.
Metadata Verification
Analyze hidden EXIF data and C2PA credentials to verify the deep source history of the image.
Advanced Forensic Capabilities
AuthenticXT combines proprietary neural networks with traditional digital forensics.
Neural Artifact Detection
Identifies subtle pixel-level inconsistencies left by diffusion models (Stable Diffusion, Midjourney).
Metadata Deep Scan
Analyzes EXIF, XMP, and C2PA provenance data to verify camera signatures and edit history.
Error Level Analysis
Visualizes compression artifacts to detect manipulated regions and inserted objects.
Shadow Consistency
Verifies light source direction and shadow fall-off to detect composited elements.
Enterprise API
High-throughput REST API for integrating forensic checks into your own platforms.
Privacy First
Images are processed in memory and encrypted. We do not train on customer data.
Detailed Reporting
Generate comprehensive PDF forensic reports suitable for compliance and evidence.
Format Agnostic
Supports analysis of JPEG, PNG, WebP, HEIC, and RAW camera formats.
Advanced AI forensics optimized for high-resolution verification.
How It Works
Neural Forensic Core
Deep analysis of noise distributions and statistical anomalies inherent in transformer-based generators.
Metadata Validation
Cross-referencing EXIF headers and internal software signatures against known authentic camera profiles.
Pattern Recognition
Frequency domain analysis to reveal hidden artifacts in GAN-generated upscaling and texture mapping.
Featured Insights
Deep dives into forensic technology and AI detection.
The Hidden Tells: How Diffusion Model Artifacts Reveal AI Images
How 8x8 grid patterns and gradient statistics reveal AI generation even without metadata.
Building a PRNU Database for Camera Fingerprinting at Scale
Lessons learned scaling camera fingerprinting to 12,000+ devices using PostgreSQL and pgvector.
Forensic Analysis of JPEG Ghosts: Detecting Multiple Compressions
Detecting manipulation through double-compression artifacts and quantization matrix analysis.
Intelligence Briefing (FAQ)
Model Accuracy Thresholds
Our neural forensics provide statistical probability. While highly accurate for identifying synthetic patterns, we recommend multiple validation passes for high-stakes verification.
Generative Support Spectrum
Full coverage for DALL-E 3, Midjourney v6, Stable Diffusion XL, and custom GAN architectures. We update our weights weekly to track the latest generative advances.
Data Isolation Protocol
Media is analyzed in zero-persistence memory buffers. No permanent storage or model training is conducted on user-provided assets.
Unlock Your Analysis Dashboard
Connect your account to save analysis history, download batch reports, and access advanced forensic insights across all your devices.
Joined by 1,000+ professionals
Analyzing Image...
Initializing analysis...