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Persona - Writing Style Obfuscator

ExtensionCommunication
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Overview

Protect your identity by rewriting text with AI-powered personas to combat large-scale deanonymization attacks.

## Persona – Writing Style Obfuscator Persona helps you vary your writing style across different contexts using AI-powered personas that run entirely in your browser. By transforming how you write while preserving what you say, Persona reduces the risk of cross-platform writing style linkage. ### Why Writing Style Matters Recent research shows that large language models can link anonymous posts to real identities by analyzing writing patterns—sentence structure, vocabulary preferences, punctuation habits, and stylistic tics that remain consistent even when you're trying to stay anonymous. Persona addresses this by rewriting your text in different personas, making it harder to connect posts across platforms. ### How It Works 1. **Choose a Persona**: Select from 7 built-in personas (Academic Scholar, Casual Teen, Business Professional, Creative Storyteller, Minimalist, Verbose Elaborator, Tech Enthusiast) or create your own custom persona with specific style instructions. 2. **Transform Text**: Paste or type your text. Persona's local AI model rewrites it according to your selected persona's style while preserving your core message. 3. **Review Quality Metrics**: See divergence scores showing how different the output is from your input, plus risk assessments detecting any remaining identifiable patterns. 4. **Copy or Save**: Copy transformed text to clipboard or save as a draft for later refinement. ### Privacy-First Architecture - **100% Local Processing**: After initial model download, everything runs offline in your browser using WebAssembly and WebGPU acceleration. No API calls, no analytics, no data collection. - **Pre-processing Redaction**: Direct identifiers (emails, phone numbers, SSNs, IPs, etc.) are automatically redacted before text reaches the transformation model. - **Multi-tier Risk Assessment**: Output is scanned for 25+ patterns across three risk tiers (direct identifiers, quasi-identifiers, soft signals) with combination amplifiers that detect clustering. - **Quality-Controlled Iteration**: If initial output is too similar to input (< 70% divergence), the system automatically retries with stronger transformation prompts up to 3 rounds. ### Core Features **Smart Personas** - 7 professionally crafted personas covering diverse communication styles - Random persona mode for variety - Custom persona builder with system prompt control - Persona usage statistics **Website Mappings** - Auto-select personas by website hostname - Different styles for different contexts (work email vs. forum post vs. social media) - Per-site preferences persist across sessions **Draft Management** - Save original + transformed text pairs - Tag drafts with persona used - Store up to 50 recent drafts - Quick-load drafts back into transform interface **Usage Analytics** - Daily transform counts - Characters processed tracking - Per-persona usage breakdowns - Visualized statistics dashboard **Quality Transparency** - Risk score (0-1) for output text - Confidence rating (inverse risk) - Divergence percentage showing stylistic distance - Detected signal inventory with counts - Iteration round reporting ### What Persona Is NOT Persona provides **heuristic privacy assistance**, not cryptographic anonymity. It cannot guarantee protection against: - Sophisticated stylometric analysis with large training corpora - Semantic content linkage (what you say, not how you say it) - Metadata correlation (timestamps, IP addresses, browser fingerprints) - Adversaries with significant resources targeting you specifically Think of Persona as one layer in a privacy stack, not a complete solution. It's most effective for casual privacy (reducing correlation across everyday posts) rather than high-stakes anonymity scenarios. ### Technical Details - **Model**: HuggingFaceTB/SmolLM2-135M-Instruct (quantized to 4-bit for performance) - **Inference**: Transformers.js library with WebGPU (fallback to WASM) - **Framework**: Svelte 5 + TypeScript + Vite 6 - **Extension**: Manifest V3 for Chrome/Chromium browsers - **Permissions**: Storage (save settings), activeTab (detect hostname), clipboardWrite (copy output) - **Open Source**: Full source code available on GitHub ### Privacy Policy Persona collects zero data. All processing happens locally. No analytics, no telemetry, no network requests after model download. Your text never leaves your device. --- **Use Persona when**: You want different writing styles for different contexts, reducing the chance someone could link your various online identities through writing pattern analysis.

Details

  • Version
    1.0.0
  • Updated
    March 5, 2026
  • Offered by
    Matthew Bramer
  • Size
    9.98MiB
  • Languages
    English
  • Developer
    Matthew Bramer
    2259 Morrow Trail Hamilton, OH 45013 US
    Email
    matthewpaulbramer@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

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  • Not being sold to third parties, outside of the approved use cases
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