AI-powered deep learning models to detect document tampering, AI generation, copy-move attacks, and ensure document authenticity with visual analysis and detailed reports.
Comprehensive document authenticity verification
Detect AI-generated documents using advanced frequency analysis, noise analysis, and statistical pattern recognition to identify synthetic content.
Identify document tampering through Error Level Analysis (ELA), copy-move detection, and resampling analysis to spot manipulated regions.
Generate heatmaps and visual overlays highlighting tampered regions, anomalies, and areas of interest for easy identification.
Comprehensive risk assessment with confidence scores for each detection method, providing actionable insights for decision-making.
Support for PDF, PNG, JPG, and JPEG formats with automatic format detection and optimized processing for each file type.
Secure document processing with encrypted storage, restricted access, and compliance with data privacy regulations.
Simple 4-step document analysis process
Upload your document (PDF, PNG, JPG, JPEG) through our secure interface. Select document type and analysis preferences including visual overlay generation.
Advanced AI models analyze the document using multiple detection methods including frequency analysis, noise analysis, ELA, copy-move detection, and resampling analysis.
Generate visual representations including heatmaps showing anomaly patterns and document overlays highlighting tampered regions with detailed annotations.
Receive detailed analysis report with overall verdict, risk score, detection confidence levels, method-specific results, and visual evidence for review.
Comprehensive document authenticity verification
Detects documents created or modified using AI tools through frequency and statistical analysis
Identifies modified text, dates, numbers, and other content through error level analysis
Detects regions that have been copied and moved within the document
Identifies resampling, compression artifacts, and image-based tampering
Detects forged signatures and stamps through pattern analysis
Identifies document layers that have been modified or reconstructed
Detects inconsistencies in compression patterns indicating manipulation
Identifies discrepancies in document metadata and creation information
Where DocuGuard AI makes a difference
Verify educational certificates, employment letters, and professional documents during candidate screening
Authenticate contracts, agreements, and legal documents for compliance and fraud prevention
Verify degrees, transcripts, and academic certificates for admissions and employment
Authenticate invoices, bank statements, and financial documents for audits and compliance
Verify ID cards, passports, and identity documents for KYC and onboarding processes
Authenticate professional certificates, licenses, and credentials for regulatory compliance
Start analyzing documents for tampering and AI generation detection today