WikiANN

Docx Anonymizer: Open-Source Chrome Extension Uses Fine-Tuned rubert-tiny2 to Anonymize Personal Data Before AI Uploads

A Russian developer has released Docx Anonymizer, a browser extension that automatically detects and replaces personal data in documents using a lightweight NER model before they reach public AI services such as ChatGPT. The tool was created to help organizations comply with Russia’s 152-FZ personal data protection law while avoiding the risks of uploading contracts and other sensitive files to cloud-based LLMs. It runs entirely locally via ONNX Runtime and WebAssembly, requires no network calls, and supports any AI chat interface. The underlying model, rubert-tiny2, was further trained through knowledge distillation on WikiANN, factRuEval, and synthetic business documents, reaching strong F1 scores for person and organization entities after int8 quantization. The extension intercepts text on the fly, performs named-entity recognition in under two seconds for typical contracts, and replaces detected entities with placeholders. The project is fully open source and designed for minimal user friction, addressing the growing problem of employees inadvertently leaking corporate and personal data to public AI platforms.