Fraud Detection
OfficialFREEDetect fraudulent transactions and documents using Veriafy vectors.
📄 pdf🖼️ images📧 email
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2 weeks ago
Description
The Fraud Detection model is trained on millions of financial documents to identify
potentially fraudulent transactions, invoices, and financial records. Using Veriafy's patented
vector-based classification, it analyzes document patterns without accessing sensitive content.
This model is ideal for:
- Financial institutions processing high volumes of transactions
- Insurance companies detecting fraudulent claims
- E-commerce platforms identifying fake orders
- Accounts payable departments screening invoices
Quick Start
Install via CLI:
veriafy pull veriafy/fraud-detectionUse in Python:
from veriafy import Veriafy
client = Veriafy()
result = client.classify("document.pdf", model="veriafy/fraud-detection")
print(result.categories) # Classification results
print(result.confidence) # Confidence scoreClassification Categories
legitimateAuthentic document or transaction
suspiciousRequires manual review
fraudulentHigh confidence fraud indicator
Benchmarks
99.2%
Accuracy
98.9%
Precision
99.4%
Recall
99.1%
F1 Score
Model Information
- Version
- 2.3.1
- Size
- 127 MB
- License
- Apache 2.0
- Created
- March 2024
- Updated
- 2 weeks ago
Requirements
- CPU
- 2 cores
- RAM
- 4 GB
- GPU
- Optional
Tags
fraudfinancedocumentscompliance