Document Tampering Detector
DocGuard AI Forensics helps organizations verify the authenticity of PDF and Word documents by analyzing their internal structure, metadata, and content layers for signs of manipulation. Using AI-driven forensic scanning, it detects altered text, forged signatures, spliced images, inconsistent fonts, and broken edit histories.
Ideal for legal, HR, compliance, and fraud-investigation teams, it helps prevent document forgery, contract fraud, and identity manipulation.
Key Features
Metadata Forensics
Inspects document metadata (creation/modification timestamps, author history, producer/software fingerprints) to surface inconsistencies pointing to post-creation edits.
Content & Layer Analysis
Detects spliced or overlaid text, mismatched fonts, misaligned baselines, and re-rendered regions using layout and error-level image analysis.
Digital Signature Verification
Validates embedded digital signatures and certificate chains, flagging revoked, expired, or self-signed certificates and signature-scope mismatches.
Forensic Tampering Report
Generates a structured, evidence-grade report with clear indicators of manipulation (IOMs) for legal review or internal escalation.
Who is Document Tampering Detector this for?
- Verifying authenticity of contracts, invoices, and offer letters before execution
- Screening user-submitted KYC and identity documents for forged edits
- Auditing internal records before use in compliance or legal proceedings
- Investigating suspected document fraud reported by employees or customers
- Automating authenticity checks on high-volume incoming vendor or client paperwork
Why choose Document Tampering Detector ?
- Prevents financial and legal loss caused by forged or altered documents
- Significantly reduces manual forensic review time for compliance and legal teams
- Catches subtle, low-visibility edits that bypass casual visual inspection
- Protects organizations from identity fraud and impersonation via doctored IDs
- Provides court-ready, evidence-grade tampering indicators for escalation
Process
Upload Document
Submit the document you want to verify. The file is handled securely in an isolated, encrypted sandbox environment.
Structural & Metadata Extraction
The engine parses the file structure to extract edit history, metadata fields, embedded fonts, object layers, and signature blocks.
- Document Parsing Engine
- Metadata Extractor
- Signature Block Analyzer
AI Tampering Evaluation
Extracted structure and content are analyzed using error-level analysis, layout-consistency models, and signature/certificate validation.
- Content splicing detection
- Font & layout consistency scoring
- Signature and certificate chain validation
Review Forensic Report
Receive a definitive authenticity assessment indicating whether the document was altered, complete with flagged regions and recommended next steps.
- Downloadable Forensic PDF
- JSON output for case management systems
- Web dashboard view
Specifications
Technical Details
15-25 seconds
30 days (if user opts in)
Security & Privacy
- AES-256 Encryption
- TLS 1.3 Encryption
- GDPR Compliant
- SOC2 Type II Compliant
- ISO/IEC 27001 Compliant
Expected Output
Document Tampering Forensic Report
Format: PDF/HTML/JSONA comprehensive analysis of the document's authenticity, identifying every region of concern and its associated tampering confidence.