Introducing AnonDocs - Open Source Document Anonymization Made Simple
We're thrilled to introduce AnonDocs, an open-source document anonymization tool designed to help you protect privacy while sharing knowledge. Proudly developed by AI SmartTalk, AnonDocs empowers individuals and organizations to remove sensitive information from documents before sharing them, ensuring compliance with privacy regulations like GDPR while maintaining document readability and structure.
Why AnonDocs?
In today's data-driven world, sharing documents often means exposing Personally Identifiable Information (PII) such as names, email addresses, phone numbers, addresses, and ID numbers. Whether you're sharing research data, legal documents, or business reports, protecting this sensitive information is crucial.
Traditional anonymization methods are time-consuming, error-prone, and often require manual review. AnonDocs automates this process using advanced AI models, making document anonymization fast, accurate, and accessible to everyone.
Key Features
🔒 Privacy-First Architecture
- All processing happens locally on your infrastructure
- No data ever leaves your control
- Self-hostable for maximum privacy and compliance
🤖 AI-Powered Anonymization
- Supports multiple AI providers (Ollama, OpenAI)
- Intelligent detection of various PII types
- Preserves document structure and formatting
📄 Multi-Format Support
- PDF documents - Anonymize scanned and native PDFs
- Word documents - Process DOCX files while maintaining formatting
- Plain text - Quick anonymization for text snippets
⚡ Real-Time Progress
- Server-Sent Events (SSE) for live progress updates
- Streaming anonymization for instant feedback
- Chunk-by-chunk processing for large documents
🌍 Open Source
- Fully open-source under a permissive license
- Community-driven development
- Transparent and auditable codebase
How It Works
AnonDocs uses a microservice architecture that can be deployed on your own infrastructure. The anonymization process:
- Upload your document or paste text
- Analyze using AI models to detect PII
- Anonymize by replacing sensitive data with generic placeholders
- Review detected information before finalizing
- Download your anonymized document
The entire process respects your privacy - data is processed locally and never sent to third-party services (unless you explicitly configure an external AI provider).
Architecture Overview
AnonDocs follows a clean architecture pattern with clear separation between input handling and processing:
Request Flow
Anonymization Process
Key Components:
- Frontend Application: Web interface for document upload and text input
- File Endpoint: Handles PDF, DOCX, and TXT file uploads
- Document Parser: Extracts text content from various file formats
- Text Endpoint: Processes raw text input directly
- Anonymization Service: Orchestrates the anonymization workflow
- LLM Provider: AI models (Ollama or OpenAI) for PII detection and anonymization
Get Started
Try It Online
Visit anondocs.org/anonymize to try AnonDocs directly in your browser. No installation required - just upload your document and get instant results.
Self-Host Your Own Instance
For organizations requiring maximum control and privacy, AnonDocs can be self-hosted on your infrastructure. Check out our Self-Hosting Guide for detailed deployment instructions.
Integrate with Your Applications
AnonDocs provides a comprehensive REST API for integrating anonymization capabilities into your own applications. See our API Reference for complete documentation.
Use Cases
- Research & Academia: Share research data without exposing participant information
- Legal & Compliance: Prepare documents for public disclosure while protecting client privacy
- Healthcare: Anonymize medical records for research or training purposes
- Business Intelligence: Share reports and analyses without revealing sensitive business data
- Journalism: Protect sources and subjects in investigative reporting
Built with Privacy in Mind
At AI SmartTalk, we understand that privacy isn't optional - it's essential. AnonDocs is designed from the ground up to prioritize user privacy:
- Local Processing: Run the entire stack on your servers
- No Telemetry: Zero tracking, zero analytics, zero data collection
- GDPR Compliant: Designed with European privacy regulations in mind
- Open Source: Review every line of code yourself
Contributing
AnonDocs is an open-source project, and we welcome contributions from the community. Whether you're fixing bugs, adding features, improving documentation, or spreading the word - every contribution helps make document anonymization more accessible to everyone.
Visit our GitHub repository to get started.
What's Next?
We're just getting started. Our roadmap includes:
- Additional document format support
- Enhanced AI model integration
- Batch processing capabilities
- Advanced anonymization strategies
- And much more based on community feedback
Join the Community
- GitHub: github.com/AI-SmartTalk/AnonDocs
- Discussions: Share ideas and get help in our GitHub Discussions
- Issues: Report bugs and request features on GitHub Issues
AnonDocs - Protect Privacy, Share Knowledge. Open source document anonymization by AI SmartTalk.
AI SmartTalk