{"repo":"AgenticA5/A5-PII-Anonymizer","free":true,"listed":false,"github":"https://github.com/AgenticA5/A5-PII-Anonymizer","clone":"git clone https://github.com/AgenticA5/A5-PII-Anonymizer.git","description":"Desktop App with Built-In LLM for Removing Personal Identifiable Information in Documents","language":"JavaScript","stars":66,"topics":["ai","ai-safety","alm","anonymisation","anonymity","anonymization","artificial-intelligence","desktop-application","gdpr","hipaa"],"license":"MIT","category":"ai-agents","readme_excerpt":"A5 PII Anonymizer Built-In LLM Desktop App Preview: This repository provides an Electron desktop application for locally anonymizing documents before sending them to advanced Large Language Models (LLMs). By stripping out personal or identifiable information using a context-aware model, you can safely train or query external LLMs (e.g., OpenAI’s o3 model) with minimal privacy risk. Motivation - PII Removal : Traditional RegEx-based anonymization often fails on nuanced data. With an ONNX-based model, you gain context-aware detection for names, addresses, phone numbers, etc. - Safe LLM Usage : Many companies need to keep real customer or employee data internal but still want to leverage powerful external LLMs. This tool helps them do so by anonymizing data on their end first. - Flexible : Supports .txt , .docx , .xls(x) , .csv , .pdf , and more. Converts text, merges tokens, and replaces them with consistent pseudonyms. Key Features 1. Electron App : Cross-platform desktop UI built on HTML/CSS/JS. 2. Daily Limit : 100 documents per day for the free tier (by default). You can raise or remove it if you prefer—this is open source. 3. Context-Aware : Relies on a local ONNX model downloaded separately (due to GitHub’s file-size constraints). 4. Mapping (Pro Mode): If you enable Pro, the app can produce a JSON file mapping each original entity (e.g., “John Smith”) to its anonymized token (e.g., “NAME 1”). 5. MIT License : Free to modify and distribute. We welcome contributions. Getti","default_branch":null,"files":null,"tree":[],"storefront":"/r/AgenticA5","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AgenticA5/A5-PII-Anonymizer/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}