fraud detectiondocument fraud x-ray

Detect document tampering, forgery, and manipulation with AI analysis

2s
scan time
99.7%
detection rate
15+
fraud types
1M+
docs scanned
uploadscananalyzeresult
documentsalary_cert.pdf
authentic
metadata checkclean
pixel analysisno tampering
font consistencyverified
authenticity score98/100
fraud detectionpaperwork ai

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

1

Upload Document

Upload the document to verify. We accept PDF, PNG, JPG, and TIFF formats.

2

Multi-Layer Analysis

Our AI runs 15+ fraud detection algorithms including pixel analysis, metadata check, and font verification.

3

Risk Assessment

Each finding is scored by severity. Overall document authenticity score calculated.

4

Detailed Report

Receive forensic report with highlighted suspicious areas, risk scores, and evidence.

api

integrate in minutes with our rest api

import requests

response = requests.post(
    "https://api.paperwork.to/v1/fraud/detect",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    files={"document": open("document.pdf", "rb")},
    data={"checks": ["metadata", "pixels", "fonts", "signatures"]}
)

result = response.json()
print(f"Authenticity Score: {result['authenticity_score']}")
print(f"Fraud Indicators: {result['fraud_indicators']}")

compatibility

supported document formats

Bank statements
Salary certificates
Employment letters
Trade licenses
ID documents
Contracts and agreements
Financial statements
Academic certificates

specifications

technical details

Processing Time2-10 seconds
Fraud Types Detected15+
Detection Accuracy99.7%
False Positive Rate<0.5%
Max Resolution600 DPI

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.

ready to get started?

try our demo or contact us for enterprise pricing