AI-Redact
AI-Powered Document Security

Find Every Piece of Sensitive Data Without Manual Markup

Manually searching documents for social security numbers, email addresses, and patient names is slow, error-prone, and impossible to scale. Our automated detection engine scans your documents in seconds, identifies every category of sensitive data, and highlights it for review — eliminating the risk of human oversight.

Detects 50+ PII categoriesZero manual tagging requiredWorks on any document layoutReview before redacting

Capabilities

Comprehensive Data Detection Categories

Our detection engine covers the full spectrum of sensitive data types, from obvious identifiers to nuanced contextual information.

Name Detection

Identifies personal names across a wide variety of formats and cultural conventions. The AI recognizes first names, last names, middle initials, suffixes (Jr., III), professional titles (Dr., Prof.), and compound surnames. It distinguishes between names of people and names of businesses, products, or locations.

Email & Phone Detection

Finds email addresses and phone numbers in any format — including international dialing codes, extensions, vanity numbers, and non-standard separators. The engine detects emails even when partially obscured (e.g., john[at]example.com) and phone numbers written as words or with inconsistent formatting.

SSN & Government ID Detection

Detects social security numbers, employer identification numbers, tax ID numbers, passport numbers, and driver's license numbers. The engine recognizes these identifiers whether they are formatted with dashes, spaces, or no separators, and regardless of surrounding label text.

Financial Data Detection

Identifies credit card numbers (Visa, Mastercard, Amex, and others via Luhn validation), bank account numbers, routing numbers, IBAN codes, and financial amounts in context. The AI distinguishes between public pricing information and confidential financial figures based on document context.

Medical Term Detection

Recognizes protected health information (PHI) including patient names, medical record numbers, diagnosis codes (ICD-10), prescription details, treatment descriptions, and provider identifiers. Designed to support HIPAA compliance workflows for healthcare organizations and legal teams.

Custom Pattern Detection

Define your own detection patterns for organization-specific identifiers like internal employee IDs, case numbers, policy numbers, or proprietary account formats. Custom patterns supplement the built-in AI detection, ensuring that your unique sensitive data types are caught alongside standard PII categories.

Process

How Automated Detection Works

01

Upload Your Document

Upload any PDF — digital or scanned. The system accepts documents with any combination of text, images, tables, and forms. File size limits depend on your plan tier, but our processing pipeline handles documents of any complexity.

02

Automatic Detection Scan

The AI engine runs a comprehensive detection sweep across every page. Named entity recognition identifies people, organizations, and locations. Pattern matchers find structured data like SSNs and credit cards. Contextual analysis flags sensitive information that does not follow a fixed pattern, like salary figures and medical diagnoses.

03

Review Highlighted Results

Every detected item appears as a color-coded highlight on the document preview, grouped by category. Names appear in one color, financial data in another, and so on. Each detection shows its confidence level. You can accept, reject, or modify individual detections with a single click before proceeding to redaction.

04

Confirm and Download

Once you have reviewed the detections, confirm to apply permanent redactions. The AI replaces detected text with solid redaction marks that cannot be reversed. Download your redacted document knowing that every piece of sensitive data has been identified and removed through a combination of AI analysis and your expert review.

Comparison

Automated Detection vs. Manual Search

FeatureCapabilityAI-Redact AutomatedCtrl+F SearchManual Line-by-Line Review
Detects names in any format
Finds data without exact keywords
Processes 100 pages~3 minutes~30 minutes~4 hours
Catches formatting variationsDepends on reviewer
Categorizes data by type
Confidence scoring
Custom pattern supportExact match only
Scales to large batches

FAQ

Frequently Asked Questions About Automated Detection

Related Resources

Let AI Find What You Might Miss

Automated detection scans every line, every table, and every page — catching sensitive data that manual review overlooks. Upload a document and see what it finds.