Redact Patient Records
Before AI Sees It.

Paste a document. Redactorr finds every name, account number, and identifier, then masks them before anything leaves your browser. Miss something? Redact it yourself. Build custom patterns for anything the engine doesn't know.

Zero data uploads8-stage detection processStart free — no credit card required.
patient-intake-form.pdf0/4 REDACTED
Patient Name: Sarah Mitchell
DOB: 14/03/1985
Medicare: 2345 67890 1
Diagnosis: Acute bronchitis
Prescribing Doctor: Dr. James Chen

How It Works

Three steps. Zero data exposure. Everything happens locally in your browser.

01

Upload

Paste text or upload a document. Native PDFs, scanned PDFs, images, photos of paper documents, handwritten forms, Word files, or plain text. Every format, entirely in your browser.

02

Detect

3,000+ detection patterns scan for names, emails, phone numbers, tax file numbers, credit cards, and more. 11 stages of detection.

03

Redact

Review every detection. Accept, dismiss, or add your own. Manual redaction for anything the engine doesn't catch. Custom patterns for your business-specific identifiers. The engine proposes. You decide.

The Detection Engine

11 Stages of Detection.
Zero Guesswork.

Most redaction tools run one pass and call it done. Redactorr runs eleven independent stages. Each one catches what the others miss.

01

Document Intake

Your document arrives and enters the system. PDFs, Word documents, images, scanned pages — any format is accepted. The file opens directly in your browser and goes nowhere else. No upload. No server handshake. No waiting. Everything that follows happens entirely on your device.

PDF, DOCX, images
No upload required
Instant processing
Scroll to explore layers
Stage 01: Document Intake
Z1Header / TitleMapped
Z2Table DataMapped
Z3ParagraphMapped
Z4Form FieldsMapped
Z5Signature BlockMapped
01 / 11
Every layer runs in your browser. Nothing leaves your device.
3000+
Detection Patterns
29
Purpose-Built Engines
8
Verification Layers
50+
Countries Covered
0
Data Uploads

Why Redactorr Is Different

Tokenized, Not Blacked Out

Traditional redaction destroys context. Redactorr replaces sensitive data with meaningful tokens that preserve document structure.

Traditional
Dear ████, your salary of ████ has been approved.
Redactorr
Dear [PERSON_NAME_1], your salary of [SALARY_1] has been approved.

100% Client-Side

Nothing leaves your browser. No uploads, no API calls, no server-side processing. Your sensitive data stays on your machine — whether it's a native PDF, a scanned page, a photo of a paper document, a handwritten form, or a Word file.

Your DocumentBrowser
Redacted OutputBrowser
Server UploadsNONEServer

600+ Entity Types

Names, addresses, Tax File Numbers, ABNs, Medicare numbers, credit card numbers, phone numbers, and hundreds more across 29 domains. Built for Australian documents.

[PERSON_NAME][EMAIL][PHONE][ADDRESS][TFN][ABN][CREDIT_CARD][MEDICARE][PASSPORT][BSB][DATE_OF_BIRTH][IP_ADDRESS]

Your Rules, Not Ours

Manual redaction for surgical precision. Custom patterns for your business-specific identifiers. The engine proposes. You decide what gets redacted.

Select any text and redact manually
Build custom patterns for proprietary codes
Accept, dismiss, or reclassify detections
Retag entities to the correct type
DOMAIN PACKS

Built for How You Work

Enable an industry pack for industry-specific detection. Add custom patterns for your organisation's own identifiers. Manually redact anything else. Your data. Your rules.

Healthcare & Medical icon

Healthcare & Medical Pack

Patient records contain the most sensitive data any organisation handles. There is zero margin for error.

WHAT REDACTORR DETECTS
Patient names
Medicare numbers
IHI (Individual Healthcare Identifier)
AHPRA registration
Diagnosis codes (ICD-10)
Medication details
Provider numbers
REAL-WORLD WORKFLOW
A clinical researcher needs AI to summarise 500 patient discharge notes. Redactorr masks every patient identifier, Medicare number, and diagnosis — the AI analyses treatment patterns, not people.
15 specialised patterns|10 entity types
Explore Pack
Finance & Banking icon

Finance & Banking Pack

Account numbers, BSBs, and transaction records are the highest-value targets for data breaches.

WHAT REDACTORR DETECTS
BSB numbers
Account numbers
Credit card numbers (PAN)
ABN/ACN
Transaction references
SWIFT/BIC codes
Superannuation member IDs
REAL-WORLD WORKFLOW
A financial analyst needs AI to identify trends across 12 months of transaction data. Redactorr strips account numbers, BSBs, and customer names — the AI sees patterns, not identities.
14 specialised patterns|9 entity types
Explore Pack
Education icon

Education Pack

Student records, ATAR scores, and enrolment data are protected under privacy legislation. Schools can’t afford leaks.

WHAT REDACTORR DETECTS
Student IDs
ATAR scores
USI (Unique Student Identifier)
Enrolment numbers
Parent/guardian names
Teacher registration numbers
Academic transcripts
REAL-WORLD WORKFLOW
A university administrator needs AI to analyse enrolment trends across 5 years of records. Redactorr removes student names, IDs, and ATAR scores — the AI works with demographics, not individuals.
8 specialised patterns|7 entity types
Explore Pack
1 / 29Legal & Law Firms Pack
TRUST CENTER

Your Data Never Leaves Your Browser

Watch Redactorr detect and redact every piece of sensitive information — entirely inside your browser. Nothing uploaded. Nothing stored.

patient-intake-form.pdf0/23 REDACTED
Processed Locally
Patient Details
Patient Name: Margaret Elizabeth ThompsonPERSON_NAME[PERSON_NAME]
Date of Birth: 14/03/1987DATE_OF_BIRTH[DATE_OF_BIRTH]
Medicare No: 2951 48376 2MEDICARE_NUMBER[MEDICARE_NUMBER]
TFN: 648 293 517TAX_FILE_NUMBER[TAX_FILE_NUMBER]
Address: 17 Banksia Crescent, Hawthorn VIC 3122HOME_ADDRESS[HOME_ADDRESS]
Phone: 0412 839 274PHONE_NUMBER[PHONE_NUMBER]
Email: m.thompson87@gmail.comEMAIL_ADDRESS[EMAIL_ADDRESS]
Emergency Contact
Name: James Robert ThompsonPERSON_NAME[PERSON_NAME] (Spouse)
Phone: 0438 192 653PHONE_NUMBER[PHONE_NUMBER]
Insurance & Financial
Insurer: Medibank Private #MPH-4829163INSURANCE_ID[INSURANCE_ID]
Employer: BHP Group LtdORGANIZATION[ORGANIZATION]
Bank (claims): BSB 063-241 Acc 1094 7823BANK_ACCOUNT[BANK_ACCOUNT]
Clinical Notes — Dr. Anand PatelPERSON_NAME[PERSON_NAME], 12 March 2026DATE[DATE]
Diagnosis: Type 2 Diabetes MellitusMEDICAL_CONDITION[MEDICAL_CONDITION]
Medication: Metformin 500mg BDMEDICATION[MEDICATION]
Result: HbA1c 7.8%MEDICAL_RESULT[MEDICAL_RESULT] (suboptimal control)
Also treating: chronic lower back painMEDICAL_CONDITION[MEDICAL_CONDITION] at Royal Melbourne HospitalORGANIZATION[ORGANIZATION]
Referred to: Dr. Sarah ChenPERSON_NAME[PERSON_NAME] (Endocrinology)
Next appt: 28/03/2026DATE[DATE] at Hawthorn Medical CentreORGANIZATION[ORGANIZATION]
Licence (ID): VIC 0839274192DRIVERS_LICENCE[DRIVERS_LICENCE]
REDACTORR ENGINE0
PERSON_NAMEMargaret E. Thompson
DATE_OF_BIRTH14/03/1987
MEDICARE_NUMBER2951 48376 2
TAX_FILE_NUMBER648 293 517
HOME_ADDRESS17 Banksia Cres, Hawthorn
PHONE_NUMBER0412 839 274
EMAIL_ADDRESSm.thompson87@gmail.com
PERSON_NAMEJames R. Thompson
PHONE_NUMBER0438 192 653
INSURANCE_IDMPH-4829163
ORGANIZATIONBHP Group Ltd
BANK_ACCOUNTBSB 063-241 / 1094 7823
PERSON_NAMEDr. Anand Patel
DATE12 March 2026
MEDICAL_CONDITIONType 2 Diabetes
MEDICATIONMetformin 500mg BD
MEDICAL_RESULTHbA1c 7.8%
MEDICAL_CONDITIONChronic lower back pain
ORGANIZATIONRoyal Melbourne Hospital
PERSON_NAMEDr. Sarah Chen
DATE28/03/2026
ORGANIZATIONHawthorn Medical Centre
DRIVERS_LICENCEVIC 0839274192
Entities Found0
Categories0
StatusREADY
SCAN
DETECT
REDACT
CLEAN
100% client-side processing
Zero server uploads
We never see your data

Trained on 87 million characters across 29 Australian industries.

See how we measure accuracy →
INDUSTRY SOLUTIONS

Purpose-Built for 29 Industries

Every industry has unique document types and sensitive data. Redactorr ships a dedicated detection engine for each, tuned to the identifiers your industry actually uses.

Free Forever. Pro When You Need It.

The full detection engine is free, including manual redaction. No trials that expire. Upgrade for unlimited scans, document upload, and custom patterns.

Free

Freeforever

No credit card required. No expiry.

5 documents/month
Core Engine, PDF only
10-page max per document
1 AI session/month
Mandatory watermark
Runs in your browser
Community support
Most Popular

Pro

A$99/month

A$82.50/mo billed annually (2 months free)

For professionals who handle sensitive data daily.

Everything in Free, plus:
Unlimited documents, all formats
All 3 engines (Core, Country, Domain)
150 AI sessions/month
BYOK unlimited, 50 custom patterns
Audit trail
Priority support

Team

A$199/month

3 seats included. Additional seats A$69/seat/mo.

Everything in Pro, plus:
150 AI sessions/seat/month
SSO & audit logs
Shared pattern library
Dedicated support
Up to 50 seats (Enterprise above)

Enterprise

Custom

For organisations with compliance requirements.

Everything in Team, plus:
Custom engine builds
Custom deployment
Dedicated support & SLA
Behind the Engine

Zero Uploads. Zero Compromises.
One Relentless Mission.

It started with a simple question: why does every AI tool demand your raw data? That question became an obsession with building the most thorough document redaction engine on the market. 3,000+ detection patterns. 29 purpose-built industry engines. Every edge case hunted down.

Read Our Story