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| title: DataAnonymiser | |
| emoji: 🛡️ | |
| colorFrom: blue | |
| colorTo: purple | |
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| # 🛡️ DataAnonymiser | |
| **Local-first PII detection and anonymisation for AI workflows.** | |
| DataAnonymiser helps detect and anonymise sensitive information before documents and data are shared with AI systems. | |
| 🌐 **[dataanonymiser.com](https://dataanonymiser.com)** | |
| ## Privacy before AI | |
| Using AI with confidential information creates a simple problem: sensitive data may leave your device before it is processed. | |
| DataAnonymiser is built around a privacy-first workflow: | |
| **Original data → Detect PII locally → Anonymise → Use with AI** | |
| Personally identifiable information can be removed or replaced before content is shared with services such as ChatGPT, Claude, or other LLMs. | |
| ## What we're working on | |
| * PII detection | |
| * Data anonymisation and pseudonymisation | |
| * Document, PDF, and image redaction | |
| * Privacy-preserving AI workflows | |
| * Local-first processing | |
| * Sensitive data protection for LLM workflows | |
| ## Why local-first? | |
| Sending sensitive information to another cloud service for anonymisation can simply move the privacy problem elsewhere. | |
| DataAnonymiser is designed around processing sensitive information locally before it is shared with external AI services. | |
| ## Our work on Hugging Face | |
| We use this organization to explore and share resources related to: | |
| * PII detection models | |
| * Data anonymisation | |
| * Privacy-preserving AI | |
| * Local inference | |
| * Evaluation and benchmarking | |
| * Document privacy | |
| Models, datasets, demos, and other resources will be added over time. | |
| ## 🛡️ DataAnonymiser | |
| **Protect sensitive data before sharing it with AI.** | |
| 🌐 [Visit dataanonymiser.com](https://dataanonymiser.com) | |