Documentation
Everything you need to classify files with Veriafy while maintaining complete privacy.
Getting Started
Core Concepts
Integration
Advanced
Deployment
Quick Start Guide
Start classifying files with Veriafy in minutes
1. Install Veriafy
Install via our installation script or package manager:
curl -fsSL https://get.veriafy.com/install.sh | sh2. Initialize Veriafy
Set up your local environment:
veriafy init3. Download a Model
Pull a classification model from the marketplace:
veriafy pull fraud-detection4. Classify a File
Run classification on any file — Veriafy never sees the content:
veriafy classify document.pdf --model fraud-detectionOutput: vector_id, categories, confidence scores, and recommended action
5. Use the Python SDK
Integrate Veriafy into your applications:
from veriafy import Veriafy
client = Veriafy() # Local mode, no API key needed
result = client.classify("document.pdf", model="fraud-detection")
print(result.vector_id) # Unique hash identifier
print(result.categories) # {'fraud': 0.92, 'legitimate': 0.08}
print(result.action) # 'flag'