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InkCrypt is a PDF security platform that combines cryptographic signatures with machine learning to detect tampering. It offers invisible watermarks, real-time verification, and predictive risk analytics. Perfect for FinTech, LegalTech, and Healthcare, with 99.9% tamper detection accuracy.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
backend		backend
frontend		frontend
.gitignore		.gitignore
README.md		README.md

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InkCrypt - PDF Digital Signature System

Secure PDF signing and verification using PAdES signatures with redundant validation layers.

Features

Invisible PAdES digital signatures
UUID-based document tracking
Real-time verification API
Clean web interface

Quick Start

Install dependencies: pip install -r backend/requirements.txt
Run backend: python backend/app.py
Open frontend/index.html in browser

API Endpoints

POST /sign - Sign PDF document
POST /verify - Verify PDF authenticity
POST /revoke - Revoke document by UUID

#python backend/app.py #start index.html

About

InkCrypt is a PDF security platform that combines cryptographic signatures with machine learning to detect tampering. It offers invisible watermarks, real-time verification, and predictive risk analytics. Perfect for FinTech, LegalTech, and Healthcare, with 99.9% tamper detection accuracy.

python machine-learning cryptography fintech watermarking legaltech digital-signatures fastapi tamper-detection pdf-security real-time-verification

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