Detect manipulated and AI-generated images at scale
VERDAT analyzes images for signs of artificial generation, digital manipulation, and metadata inconsistencies. Get probabilistic confidence scores and audit-ready forensic reports.
Forensic analysis combining metadata, visual, and AI detection signals
Every score backed by specific detected signals and evidence
Calibrated confidence scores, not binary verdicts
Structured reports designed for compliance review
Image fraud is accelerating
AI-generation tools and sophisticated editing software have made it trivial to create convincing fake images. Traditional validation methods cannot keep pace.
Exponential growth in synthetic media
Generative AI tools have democratized image synthesis. Creating photorealistic fake images now requires no technical expertise.
Manual review does not scale
Human analysts cannot keep up with claim volumes. Review backlogs grow while fraudulent submissions slip through.
Legacy tools are insufficient
Metadata checks and basic hash comparisons miss sophisticated manipulations. Modern fraud requires modern detection.
Multi-layer forensic analysis
VERDAT combines multiple detection methodologies to provide comprehensive image authenticity assessment. Evidence-based scoring, not binary verdicts.
Metadata inspection
Analyzes EXIF data, file structure, and encoding patterns for inconsistencies that suggest manipulation or synthetic origin.
Visual forensic signals
Detects compression artifacts, clone regions, lighting inconsistencies, and pixel-level anomalies indicative of editing.
AI-generation detection
Identifies patterns characteristic of diffusion models, GANs, and other generative architectures across major AI image generators.
Probabilistic scoring
Returns calibrated confidence scores rather than binary classifications. Supports risk-based decision thresholds for your workflow.
Structured reports
Generates audit-friendly documentation with detailed findings, supporting evidence, and reproducible analysis methodology.
Explainable results
Every score is backed by specific detected signals. Understand exactly why an image was flagged for further review.
How it works
Integrate image authenticity verification into your existing workflows with a single API call.
Submit image
Send an image to the VERDAT API via URL or base64-encoded data. Supports JPEG, PNG, WebP, and HEIC formats.
Analyze signals
VERDAT examines metadata, visual artifacts, and AI-generation patterns using versioned detection models.
Receive report
Get a structured JSON response with confidence scores, detected anomalies, and supporting evidence for each finding.
{
"analysis_id": "ver_a1b2c3d4e5f6",
"model_version": "2024.12.1",
"confidence_scores": {
"ai_generated": 0.12,
"digitally_edited": 0.87,
"metadata_anomaly": 0.65
},
"detected_signals": [
{
"type": "clone_region",
"confidence": 0.91,
"location": {"x": 240, "y": 180, "w": 120, "h": 80}
},
{
"type": "exif_inconsistency",
"confidence": 0.78,
"details": "Software field indicates editing tool"
}
],
"audit_report_url": "https://api.verdat.net/reports/ver_a1b2c3d4e5f6"
}Built for fraud prevention teams
VERDAT integrates into existing risk and compliance workflows across industries where image evidence drives decisions.
Insurance claims
Validate damage photos submitted with property, auto, and liability claims. Detect manipulated evidence before payouts are approved.
- Pre-screen claim images at submission
- Flag AI-generated damage evidence
- Generate audit trails for SIU review
Delivery disputes
Verify photo evidence for missing or damaged package claims. Reduce fraudulent refund requests with automated image analysis.
- Analyze delivery confirmation photos
- Detect edited or synthetic complaint images
- Score dispute legitimacy automatically
E-commerce returns
Validate product condition photos in return and chargeback workflows. Identify patterns of return abuse across customer accounts.
- Screen return request images
- Compare against original product photos
- Integrate with chargeback dispute flows
Built for compliance and audit requirements
VERDAT is designed to meet the documentation, reproducibility, and traceability standards required by legal, risk, and compliance teams.
Versioned detection models
Every analysis includes the specific model version used. Historical results can be referenced and compared as detection capabilities evolve.
Reproducible results
Given the same image and model version, VERDAT returns identical results. Deterministic analysis supports legal and audit proceedings.
Audit-ready documentation
Detailed reports include methodology explanations, detected signals, and confidence calibration data. Ready for regulatory examination.
Data security and privacy
Images are processed in isolated environments and are not retained after analysis unless explicitly requested. Infrastructure designed to support enterprise security requirements.
Developer-first API design
Integrate VERDAT into your existing fraud detection pipeline with minimal engineering effort. Clean REST API with comprehensive documentation.
JSON-based responses
Structured response format designed for programmatic processing and workflow automation.
Designed for low latency
Architecture optimized for fast response times. Async endpoints available for batch processing workloads.
Flexible integration
Works with existing fraud tools, case management systems, and decision engines via REST or webhooks.
Comprehensive documentation
API reference, integration guides, and sample code in Python, Node.js, Go, and Java.
import verdat
client = verdat.Client(
api_key="vdt_...",
base_url="https://api.verdat.net"
)
# Analyze an image
result = client.analyze(
image_url="https://example.com/claim-photo.jpg",
include_signals=True
)
# Check confidence scores
if result.scores.digitally_edited > 0.7:
print("High likelihood of manipulation")
for signal in result.detected_signals:
print(f" - {signal.type}: {signal.confidence}")
# Generate audit report
report = client.generate_report(result.analysis_id)
print(f"Report URL: {report.url}")Start verifying image authenticity
Join fraud prevention teams using VERDAT to detect manipulated and AI-generated images. Request API access to begin your integration.
No credit card required. Sandbox access included.