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Sanitize 200k Context PDFs, DOCX Files & Stack Traces Locally Before Uploading to Anthropic
A complete step-by-step developer and enterprise guide on how to secure Anthropic Claude 3.5 Sonnet. Learn how to configure privacy preferences, sanitize multi-page PDFs and DOCX files in local WebAssembly memory, intercept ProseMirror inputs, and prevent confidential data leaks.
Use PrivacyScrubber to tokenize sensitive data in your browser before it ever reaches Claude (Anthropic). Zero installation required.
| Security & Privacy Vector | Anthropic Default Cloud Posture | With PrivacyScrubber ZTDS |
|---|---|---|
| 200k Context Document Parsing (PDF/DOCX) | Cloud server document extraction & storage | 100% Local WebAssembly in browser RAM |
| Cloud Data Residency & Retention | US/EU cloud server logging & retention | Ephemeral browser memory (0 bytes stored) |
| Model Fine-Tuning on User Prompts | Requires paid Claude Team/Enterprise terms | Data never transmitted in cleartext |
| ProseMirror Input DOM Interception | Plaintext transmission on submit | Transactional real-time glow shield |
| Massive Server Log & Stack Trace Masking | Cleartext exposure in context window | Deterministic regex tokenization in RAM |
| Reversible Token De-Identification | No reversible token mapping in Claude UI | Yes — instant 1-click in-page restore |
| CISO / SOC 2 Compliance Evidence | Vendor SOC 2 report on request only | Cryptographic Zero-Trust Audit Receipts |
| Zero-Server Network Footprint | Requires external telemetry connections | 100% offline local process (0 external requests) |
Claude is renowned for massive document analysis. PrivacyScrubber uses client-side WebAssembly (PDF.js, Mammoth.js, Tesseract.js) to parse multi-hundred page documents and redact all PII locally before you paste or upload text to Claude.
Claude's web interface utilizes the ProseMirror editor. PrivacyScrubber's in-page extension binds directly to Claude's contentEditable DOM nodes, providing real-time PII detection warnings without breaking rich-text formatting.
Sanitize 100,000-token server logs, database dumps, and cloud infrastructure configs locally before passing them to Claude 3.5 Sonnet for deep architectural debugging.
By executing mathematical tokenization on your client workstation first, you eliminate transit risks and maintain compliance with strict national and corporate data residency mandates.
Safely leveraging Claude's 200k context window for heavy document processing requires local de-identification before context upload:
claude.ai chat inputs for un-redacted trade secrets.Claude's massive 200,000-token context window introduces specific data governance vulnerabilities:
Uploading complete financial audits, legal trial transcripts, or medical clinical study reports into Claude exposes hundreds of pages of un-redacted PII to cloud servers simultaneously.
When Claude generates interactive UI components, SVG diagrams, or markdown tables containing patient names or private employee IDs, those artifacts are cached and rendered across browser sessions.
Developers relying on Claude 3.5 Sonnet for deep debugging paste huge terminal outputs containing production database connection strings, bearer tokens, and internal microservice URIs.
Transmitting raw European citizen data or Australian financial records to US cloud data centers creates GDPR Chapter V compliance liabilities unless payloads are mathematically de-identified prior to egress.
Instead of uploading raw un-redacted PDFs to Claude, drop them into PrivacyScrubber Web. Our client-side WebAssembly engine parses the document in local RAM and tokenizes names, phone numbers, and financial details in under 2 seconds.
The PrivacyScrubber Chrome Extension automatically monitors the ProseMirror editor on claude.ai. When sensitive names or logs are detected, press Alt + Shift + X (Option + Shift + X on Mac) to tokenize before sending.
Because your prompts contain structured tokens like [EMPLOYEE_1], Claude Artifacts render clean, sanitized code and diagrams. Click the Reveal button to view the un-redacted visualization locally in your browser.
Using the new Claude Desktop or Claude Code CLI? Connect @privacyscrubber/mcp-server directly to your claude_desktop_config.json to sanitize files and tools locally through JSON-RPC stdio.
Confirm that zero data is sent to external servers when processing large documents:
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Zero server uploads. All tokenization and OCR run strictly in your local browser memory (RAM). You can disconnect Wi-Fi and verify the tool still scrubs.
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Works with ChatGPT, Claude, Gemini, DeepSeek, and Cursor. Single license unlocks Web Portal, Chrome Extension, and air-gapped local MCP Server.
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Zero-Server · Zero-Trust · 100% Local
Turn off your Wi-Fi right now and try pasting text into the tool below. It processes 100% in your local RAM without sending any network requests.
Cryptographic proof of zero-server local RAM data sanitization