Local-first DOCX redaction for lawyers and professionals — native macOS, rules + local AI.
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Updated
Sep 1, 2026 - Python
Local-first DOCX redaction for lawyers and professionals — native macOS, rules + local AI.
Free AI-powered PDF redaction and pseudonymisation tool. Permanently redact or de-identify PII in text and images. 100% client-side, BYOK, open source.
Privacy-first Windows app that finds sensitive data before files are shared. Scans locally, supports optional on-device Ollama AI, and creates redacted copies without uploading source files.
Source-backed applied AI and technical-operations portfolio with deployed local-first tools, tests, CI, and verification evidence.
Document redaction microservice.
Browser-based document redaction with verifiable privacy. Files are processed client-side and never uploaded. The detection LLM runs in an AMD SEV-SNP enclave and is called direct from the browser, with per-run hardware attestation. Static site plus three Netlify functions, zero runtime deps.
A Python-based Privacy Redaction Engine that automatically detects and redacts faces using Haar Cascade and handwritten signatures using a custom-trained YOLOv8 model
The free, open-source app that swaps the personal details in any document for realistic fakes. It runs entirely on your machine.
⚡ 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.
Production-focused engineering guides for building, securing & auditing automated legal document redaction — PII detection, structural erasure, GDPR/CCPA/HIPAA/NIST compliance mapping, and immutable audit trails.
A privacy-focused desktop application designed to automatically detect and redact Sensitive Personal Identifiable Information (SPII) and faces from images, and digital documents.
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