Protect data, preserve utility.
Anonymyzr creates anonymized files optimized for large language models: reduced token counts, preserved data structure, and retained context so models can work effectively on your data while keeping your sensitive data safe.
Anonymyzr intelligently removes personal information while maintaining analytical and structural integrity for AI processing.
Key Capabilities
- Automatic PII detection and removal (names, emails, phone, SSN, etc.)
- Custom anonymization rules and AI instructions
- Token count optimization for your chosen model
- Data structure preservation for analysis and processing
- Your AI model, your prompt, your control
Why Anonymyzr?
Protect Privacy
Automatically detect and redact sensitive information from documents, databases, and files. Keep PII out of your LLM workflows.
Reduce Costs
Smaller, optimized files mean lower token counts and reduced API costs when processing with language models.
Maintain Context
Preserve data relationships, structure, and meaning while removing sensitive details—models still understand the full picture.
Choose Your Model
Works with any LLM: OpenAI, Google, Anthropic, or open-source. Supply your own API keys and prompts.
How It Works
Feed documents, CSVs, databases, or raw text into Anonymyzr.
Set anonymization policies: remove names, mask emails, redact IDs, hash references.
Automatically create AI-friendly instructions that travel with your anonymized file.
Use the cleaned data with OpenAI, Claude, Gemini, or any LLM you choose.
Use Cases
Legal & Compliance
Analyze contracts, agreements, and policies with LLMs without exposing client names or sensitive terms.
Healthcare
Process patient records and research data while maintaining HIPAA compliance and data privacy.
Financial Services
Analyze account data, transactions, and reports while removing personally identifiable information.
HR & Recruitment
Screen resumes, applications, and employee records while protecting candidate and employee privacy.
Customer Support
Analyze support tickets and chat logs without exposing customer names, emails, or personal details.
Research & Data Science
Prepare datasets for LLM-powered analysis and machine learning while preserving data integrity.
What You Get
Anonymyzr Includes:
- Web dashboard for uploading, configuring, and managing anonymization jobs
- Multi-format support (CSV, JSON, PDF, TXT, SQL dumps, databases)
- Smart PII detection with customizable patterns and rules
- AI instruction generator that travels with your anonymized file
- API access for programmatic anonymization workflows
- Audit logs and compliance reports for regulated environments
- Your choice of model and API keys (no vendor lock-in)
Frequently Asked Questions
How does Anonymyzr detect PII?
We use a combination of pattern matching (regex), machine learning models, and entity recognition to detect common PII types: names, emails, phone numbers, SSNs, credit cards, IP addresses, URLs, and more. You can customize detection rules and add custom patterns.
Will my data remain private?
Yes. Your data is processed securely, never stored longer than necessary, and never used to train models or shared with third parties. You control anonymization rules and have full audit logs of what was processed.
Which file formats are supported?
Anonymyzr supports CSV, JSON, TXT, XML, PDF, SQL dumps, and direct database connections. We're continuously adding formats based on user feedback.
Can I use Anonymyzr with any LLM?
Absolutely. The anonymized files and auto-generated instructions work with OpenAI, Google Gemini, Anthropic Claude, Mistral, open-source models on Hugging Face, and any API-based LLM. You supply your own API keys.
How much does it cost?
Pricing is based on data volume, anonymization complexity, and feature tier. Early access participants receive special pricing and can help shape our pricing model.
Can I integrate Anonymyzr with my existing workflows?
Yes. Anonymyzr offers REST API and Python SDK for programmatic access, CI/CD integration, and automation. You can build anonymization into your data pipelines.
