Zero-Trust Data Sanitization

Free PII Removal Tool & Offline PII Scanner: 100% Local Zero-Server Redaction

Free PII Removal Tool & Real-Time Local Data Redaction Engine

100% Local RAM Airplane Mode 0 Bytes Egress
Free to start · $0 Free / $99/mo Teams
PII Detection Engine

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"Free online PII removal tool, PII scrubber, and local scanner. Redact names, SSNs, emails, and API keys in browser RAM before AI prompts with 0 upload."

Ingest Content: Paste text or drop documents. The file is held strictly in your browser's volatile RAM and encrypted locally.
Local PII Scanning: The ZTDS™ appliance executes a deterministic multi-layer entity scanner in local browser RAM to extract personal names, emails, financial cards, and credentials with zero external network calls.
Token Isolation: Sensitive values are swapped for structural surrogate tokens, and the mapping resides strictly in volatile tab-isolated RAM that purges automatically when you close the browser tab.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO
Live Turnkey Simulator · ZTDS Engine

Interactive PII Detection & Sanitization Sandbox

Test real-time client-side RAM tokenization. Choose a specialized preset or paste your own raw prompt to test instant reversible redaction.

Protected in PII Scanner & Removal Tool: CustomerSSNPhone NumbersEmail AddressesPANAPI Access Keys
0 Bytes Server Egress
<1.8ms Latency
Select Industry Test Payload:
Raw Input Payload
0 chars
RAM-Only Isolated Session
1-Click Safe AI Launch:
Automated Detection Classes:
Customer / Employee NamesSSNPhone NumbersEmail AddressesCredit Card Numbers (PAN)API Access Keys / TokensPhysical AddressesInternal Server Hostnames
Enterprise Challenge

The Challenge with AI Data Workflows

Legacy cloud-proxy DLP (Data Loss Prevention) systems and online APIs force you to upload your sensitive data to their servers for inspection. This creates a severe 'Middleman Risk', adds 6-8 weeks of legal BAA/DPA contract reviews, and introduces latency penalties up to 1,500ms for every ChatGPT or Claude prompt.

Zero-Egress Data Protection
Eliminates corporate data leaks before prompts hit external AI models.
Zero-Trust Resolution

How It Works

1

Ingest Content

Paste text or drop documents. The file is held strictly in your browser's volatile RAM and encrypted locally.

2

Local PII Scanning

The ZTDS™ appliance executes a deterministic multi-layer entity scanner in local browser RAM to extract personal names, emails, financial cards, and credentials with zero external network calls.

3

Token Isolation

Sensitive values are swapped for structural surrogate tokens, and the mapping resides strictly in volatile tab-isolated RAM that purges automatically when you close the browser tab.

Supported Formats & Limitations

Supported Formats

TXTCSVJSONMarkdown

System Limitations

  • Single text strings > 5MB are chunked automatically to prevent UI blocking
  • Requires standard Web API support (TextEncoder, crypto.subtle)
  • NLP entity extraction runs single-threaded, optimal for documents under 2,000 pages
Zero-Subprocessor Architecture

Outcome Breakdown: Eliminating the 6-Week Legal Bottleneck

When employees copy internal documents, customer support tickets, financial ledgers, or HR records into ChatGPT, Claude, or Gemini, traditional DLP tools block the request or route the raw prompt through an external cloud proxy. That creates a 6-to-8 week security questionnaire bottleneck and introduces an untrusted third-party vendor into your compliance perimeter.

The Zero-Subprocessor Advantage: 0-Day AI Approval

PrivacyScrubber strips personal identifiers locally inside the browser's volatile RAM before the prompt is sent to any AI server. Because zero PII leaves the endpoint, no third-party data processor relationship is formed, eliminating subprocessor risk and procurement bottlenecks for Data Processing Agreements (DPAs) or Business Associate Agreements (BAAs). Your team can use our PII scrubbing tool to start using AI on day 1 with zero compliance debt.

<1ms
Local RAM Latency

Instant Web Worker tokenization

0 Bytes
Server Data Egress

100% Volatile browser memory

$99/mo
Flat Team Rate

Unlimited seats, zero seat tax

Architecture Comparison

Side-by-Side Comparison: Legacy Cloud Proxy vs. Local Browser Masking

Compare data transit, latency overhead, and vendor risk between cloud middleware and client-side ZTDS.

Evaluation FactorLegacy Cloud Proxy DLP PrivacyScrubber Local PII Engine
Data Path & TransitTraverses proxy vendor cloud & third-party inspection APIs
Stays 100% inside local browser RAM (0 Bytes transmitted)
Latency Penalty+200ms to +1,500ms network round-trip overhead <1ms local Web Worker & WASM execution
Legal ProcurementRequires DPA, BAA, and 6-to-8 week vendor security reviewZero Subprocessor — No Data Processor Relationship formed
Breach Exposure Risk$4.88M average enterprise data breach exposure (IBM Cost of Breach)$0 exfiltration payload risk — Only synthetic tokens hit LLMs
Pricing Model$15–$45 per user per month seat tax (annual contracts)$99/mo flat for unlimited team seats — No per-user penalty
Vendor Risk Analysis

Architectural Vulnerabilities: Cloud DSPM & DLP Incumbents

How cloud-based compliance tools create security blind spots and latency bottlenecks for AI users.

Vendor / ArchitectureCore Bottleneck / VulnerabilityLatency & SpeedData Residency / DPA
Skyflow
API Data Privacy Vault
External API dependency (Network hop). Requires sending raw payloads to regional vault clusters.150–350msRequires BAA/DPA. Data leaves local endpoint.
Nightfall AI
Cloud DLP API
Cloud proxy bottleneck. Subject to strict API rate limits (HTTP 429) and network volume throttling.300–1,200msRequires BAA/DPA. Prompts traverse cloud servers.
Cyera
API-First DSPM
Scan-only visibility gap. Lacks real-time inline intervention for interactive prompt masking.N/A (Out-of-band)Cloud IAM access and telemetry ingestion required.
Securiti.ai
Graph-Based DSPM
Alert fatigue and orchestration complexity. Heavy multi-cloud API connector integration needed.N/A (Out-of-band)Deep IAM connector permissions and logs stored externally.
PrivacyScrubber
Zero-Trust Local Execution
None. 100% Client-side RAM execution. Air-gapped deployment verified.<1ms (RAM)0 Bytes egress. Zero subprocessor risk.
Verifiable Security

How Compliance Officers Verify Zero-Trust Execution in 60 Seconds

Security teams should never rely on marketing promises. Run this audit on your own machine in 1 minute:

AIRPLANE MODE COMPLIANT
1

Open DevTools

Press F12 in Chrome or Edge and navigate to the Network tab.

FILTER: FETCH / XHR
2

Activate Offline Mode

Check the Offline box in DevTools or disconnect your operating system Wi-Fi.

ZERO NETWORK DEPENDENCY
3

Execute PII Scrub

Paste confidential text containing names, SSNs, and credit cards, then click Scrub.

<1MS LOCAL PROCESSING
4

Confirm 0 Packets

The Network log remains completely empty. 0 bytes transmitted, 0 cloud calls.

VERIFIED: 0 EGRESS
Deployment Flexibility

Two Ways to Deploy Client-Side Sanitization

Choose between zero-install web workspace or seamless browser extension auto-masking.

Secure Web Workspace

Zero-installation web tool designed for ad-hoc sanitization. Paste text or drop documents (.txt, .csv, .docx, .pdf). Sanitizes in volatile tab RAM with instant 1-click token copy and reverse reveal.

  • 100% Client-side — No login or account required
  • Batch processing for multi-page documents
  • Download signed CISO compliance receipts

Chrome & Edge Extension

Inline protection injected directly into ChatGPT, Claude, Gemini, Notion, and Zendesk. Automatically intercepts typing and highlights to mask sensitive entities in-place before pressing Enter.

  • Zero tab-switching — Mask in-place with hotkey Cmd+Shift+P
  • Live floating cursor shield with instant PII counts
  • Automatic token reveal rehydration in 1 click

Specialized Sanitization Capabilities

Explore purpose-built modules designed for high-security enterprise workflows.

Universal Engine· Cryptographic Parity

Deploy the Zero-Trust Engine Across Your Entire Stack

The exact same deterministic NLP + regex engine powers our Chrome Extension, Developer SDK, and Local MCP Server — guaranteeing 100% token consistency from browser to backend pipelines.

Client-Side ZTDS™ Execution & Conformance Verification

All PII detection and deterministic tokenization execute 100% inside local client memory — eliminating cloud proxies, external subprocessors, and network data egress.

100% Local RAM Airplane Mode Verified IETF RFC Draft
ZTDS™ Verified
ZTDS-CERT-2026-PRIVACYSCRUBBER-WEB-D02DC6
ZTDS™ RFC v1.0 Verified Capability·ZTDS-CERT-2026-PRIVACYSCRUBBER-WEB-D02DC6
Verify Cryptographic Seal

Frequently Asked Questions

Technical Details & Privacy Architecture

How do I remove PII from text online for free?
Open PrivacyScrubber in any browser, paste your text containing names, emails, phone numbers, or credentials, and click 'Scrub'. The tool immediately detects and removes all sensitive identifiers locally in your browser's RAM, replacing them with synthetic tokens ([NAME_1], [EMAIL_1]). Zero data is ever transmitted to a server.
Why is local browser-based PII removal safer than cloud DLP APIs?
Cloud DLP APIs require transmitting your raw, unencrypted data across the internet to a third-party server to detect PII. This introduces network exposure, requires vendor DPA/BAA contracts, and increases breach risk. PrivacyScrubber runs 100% client-side in browser RAM using WebAssembly and Web Workers — your data never leaves your endpoint.
Can this PII removal tool strip names, emails, and financial data simultaneously?
Yes. PrivacyScrubber employs a deterministic ZTDS™ multi-layer architecture in local browser RAM: contextual entity evaluation extracts full names while structural pattern validators simultaneously catch emails, phone numbers, payment card numbers, SSNs, IP addresses, JWTs, and API credentials in parallel.
How does PII removal work before sending prompts to ChatGPT, Claude, or Gemini?
Before copying a prompt into an AI chat interface, paste the raw text into PrivacyScrubber. The tool tokenizes all confidential entities. You then paste the tokenized text into ChatGPT. When ChatGPT answers with the tokens, you can paste the response back into PrivacyScrubber and click 'Reveal' to re-hydrate the original identifiers locally.
How does the engine handle both structured and contextual identifiers?
Structured validators handle deterministic formats: emails, international and local phone numbers, payment cards, SSNs, IP addresses, JWTs, and cloud API keys. Contextual entity evaluation handles context-dependent identifiers such as personal names across business prose. Both layers execute 100% locally in client memory.
What is the token format and can I customize it?
Tokens follow the pattern [TYPE_N] — for example [NAME_1], [EMAIL_2], [PHONE_1]. The type label maps to the entity class. N is a per-session counter incremented for each unique value of that type. PRO users can set a custom prefix (e.g., [EMP_ID_1] via Custom Rules). Token format is consistent within a session and maps 1:1 to the token dictionary.
How does the engine handle overlapping matches?
When multiple entity patterns overlap within the same text span, the ZTDS™ boundary resolver deterministically selects the most specific match while preserving surrounding syntax and character offsets so round-trip de-tokenization remains 100% lossless.
What detection accuracy can I expect for names?
For standard English-language business text, name recall (catching real names) is approximately 94–97%. Precision (not flagging non-names) is approximately 96–98%. Accuracy is lower for unusual name formats, single-word names without context, or names embedded in technical strings. The hybrid NLP+regex approach significantly outperforms regex-only scanners for this entity type.
Does PII detection work offline?
Yes. All detection rules (regex patterns + NLP model) are bundled in the client-side JavaScript assets loaded on first page visit. After initial load, you can switch to airplane mode and the full detection engine remains functional. This is verifiable: open DevTools → Network tab → enable offline mode → run a scan. Zero network requests.
Does the Chrome extension use the same detection engine?
Yes. The Chrome Extension In-Page Shield runs the exact same ZTDS™ sanitization engine as the Secure Web Workspace. Cryptographic parity is enforced on every release — a diff check between the two files is run during CI to ensure they never diverge. Any detection rule added to the Secure Workspace is simultaneously applied to the extension.
100% Zero-Trust Deployment

Protect Your Team's AI Prompts in Under 30 Seconds

No server uploads. No account required. 100% offline in your browser's local RAM.