features
what makes our document fraud x-ray powerful
Pixel Analysis
Detect copy-paste manipulations, cloning, and image splicing at the pixel level. Identify areas that have been modified.
Metadata Forensics
Analyze PDF metadata, creation dates, modification history, and software signatures. Detect backdated documents.
Font Consistency
Identify text added with different fonts or rendering engines. Detect cut-and-paste text modifications.
Signature Verification
Compare signatures against known samples. Detect traced, copied, or digitally generated signatures.
Compression Analysis
Detect double compression artifacts indicating image manipulation. Identify spliced content from different sources.
how it works
simple integration, powerful results
Upload Document
Upload the document to verify. We accept PDF, PNG, JPG, and TIFF formats.
Multi-Layer Analysis
Our AI runs 15+ fraud detection algorithms including pixel analysis, metadata check, and font verification.
Risk Assessment
Each finding is scored by severity. Overall document authenticity score calculated.
Detailed Report
Receive forensic report with highlighted suspicious areas, risk scores, and evidence.
api
integrate in minutes with our rest api
compatibility
supported document formats
specifications
technical details
faq
frequently asked questions
What types of fraud can you detect?
We detect 15+ fraud types including: copy-paste manipulation, text modification, signature forgery, metadata tampering, date changes, amount alterations, logo replacement, stamp forgery, and more.
How do you handle false positives?
Our system provides confidence scores for each finding. Low-confidence findings are flagged for manual review. You can tune sensitivity thresholds per document type.
Can you detect AI-generated documents?
Yes, we have specialized detection for AI-generated content including synthetic text, GAN-generated images, and deepfake elements in documents.
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ready to get started?
try our demo or contact us for enterprise pricing