The Privacy Firewall for LLMs
.net pdf parsing library
Python-based PDF redaction tool with GUI.
PDF Redaction API for pdf-redaction.com. Secure your pdf in automated way. Reduce cost for redaction.
Automated PDF translation & redaction with OCR, PyMuPDF, and AI translation. Preserves layout, font, and colors while supporting selective redaction/masking. English ↔ Hindi supported out-of-the-box. Docker-ready.
PDF Redaction Studio is a powerful web-based application for redacting sensitive information from PDF documents.
An easy-to-use Python library for annotating, manipulating and processing PDF files
Privacy-first PII detection and anonymization for German-language documents. Physical PDF redaction, 7 custom recognizers, zero persistence, air-gappable.
Data De-Identification Tools
Pure Go PDF library — text extraction, merge, search, overlay, redaction. No CGo, no dependencies. MIT licensed.
A Streamlit web application for detecting and redacting Personally Identifiable Information (PII) in documents including PDFs, images, and text files. Supports Aadhaar, PAN, Driving License, and Voter ID detection with automated redaction capabilities.
Free AI-powered PDF redaction and pseudonymisation tool. Permanently redact or de-identify PII in text and images. 100% client-side, BYOK, open source.
Standalone Python scripts for protecting your personal data entirely offline. LocalShield gives you readable, auditable privacy tools that run 100% on your machine. No cloud uploads, no external APIs, no telemetry. Every script is plain .py source code you can inspect line-by-line before running.
This repository contains example for redacting PDF document using C#.
'A safe PDF redaction tool' Thesis project in which I aim to create a tool which leaves no traces of the redacted text and keeps the other text intact.
This repository contains various examples to use the PDF redaction annotation
⚡ REDACT V2 is a privacy-first desktop app that automatically detects and redacts PII (Personally Identifiable Information) from text, PDFs, and Word docs. Built with Electron.js & Node.js, it uses Hugging Face NER models for secure offline/online redaction with a clean UI.
An interactive paper anonymizer for PDF and DOC/DOCX files with drag-to-select redaction, metadata removal, and precise word-level editing.
Permanently redact sensitive text from PDF documents — native macOS app with irrecoverable text removal
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