Update README.md

README.md

@@ -1,5 +1,5 @@
-```markdown
 ---
+
 title: DataAnonymiser
 emoji: 🛡️
 colorFrom: blue
@@ -8,11 +8,11 @@ sdk: static
 pinned: false
 ---
 
-# DataAnonymiser
+# 🛡️ DataAnonymiser
 
 **Local-first PII detection and anonymisation for AI workflows.**
 
-DataAnonymiser helps you detect and anonymise sensitive information before documents and data are shared with AI systems.
+DataAnonymiser helps detect and anonymise sensitive information before documents and data are shared with AI systems.
 
 🌐 **[dataanonymiser.com](https://dataanonymiser.com)**
 
@@ -20,7 +20,7 @@ DataAnonymiser helps you detect and anonymise sensitive information before docum
 
 Using AI with confidential information creates a simple problem: sensitive data may leave your device before it is processed.
 
-DataAnonymiser is built around a different workflow:
+DataAnonymiser is built around a privacy-first workflow:
 
 **Original data → Detect PII locally → Anonymise → Use with AI**
 
@@ -28,36 +28,34 @@ Personally identifiable information can be removed or replaced before content is
 
 ## What we're working on
 
-Our work focuses on:
-
-- PII detection
-- Data anonymisation and pseudonymisation
-- Document and PDF redaction
-- Privacy-preserving AI workflows
-- Local-first processing
-- Sensitive data protection for LLM workflows
+* 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?
 
-Anonymising sensitive information through another cloud service can simply move the privacy problem elsewhere.
+Sending sensitive information to another cloud service for anonymisation can simply move the privacy problem elsewhere.
 
-DataAnonymiser is designed so that sensitive-data detection and anonymisation can happen locally before information is shared with external AI services.
+DataAnonymiser is designed around processing sensitive information locally before it is shared with external AI services.
 
-## Hugging Face
+## Our work on Hugging Face
 
 We use this organization to explore and share resources related to:
 
-- PII detection models
-- Anonymisation techniques
-- Privacy-focused AI
-- Evaluation and benchmarking
-- Local inference
-- Document privacy
+* 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.
 
-More resources and demos will be added over time.
+## 🛡️ DataAnonymiser
 
-## Learn more
+**Protect sensitive data before sharing it with AI.**
 
-🛡️ **DataAnonymiser**  
-[https://dataanonymiser.com](https://dataanonymiser.com)
-```
+🌐 [Visit dataanonymiser.com](https://dataanonymiser.com)