AI-Powered Data Masking and Personal Data Anonymization
By detecting personal data within texts, PDF, DOCX and PPTX documents as well as PNG, JPG and JPEG images with AI, Redactra accelerates KVKK-compliant data masking and anonymization processes.
This Service Agreement was concluded on [*], between [*] with National ID No: [*] and [*]; the customer's phone number [*], email address [*] and [*] have been recorded within the scope of carrying out service processes and communication activities.
This Service Agreement was concluded on 11 March 2026, between Ahmet Yılmaz with National ID No: 11111111111 and ABC Teknoloji A.Ş.; the customer's phone number 0532 123 45 67, email address ahmet.yilmaz@example.com and address Barbaros Mahallesi Begonya Sokak No: 12 Daire: 4 Beşiktaş / İstanbul have been recorded within the scope of carrying out service processes and communication activities.
What Can Redactra Detect?
55 Entities Found in Total!
PII Detection (Identification)
It automatically identifies sensitive and personal data in text using advanced algorithms, determining their locations and types.
Sample Detection Fields: Detection of data such as person name, organization, national ID, tax ID, address, phone, license plate, email, identity numbers, payment information, date information, username and IP address.
Changes Made
Redaction / De-Identification
It transforms detected data by masking, labeling or replacing it with realistic fake data, turning the text into a secure and shareable structure. Sensitive areas in visual documents are permanently hidden by covering them with a black bar.
Sample Transformation Methods: Masking (e.g. ***), labeling (e.g. [Full-Name]), replacement with dummy data (e.g. Ahmet Yılmaz → Mehmet Kaya), black-bar redaction on images.
[FULL_NAME]
Name 1
Name 2
Name 3
Policies & Exceptions
It configures the management processes of certain data by customizing data processing rules to your organization's specific needs.
Sample Policy Areas: Adding or removing labels, allowlist/blocklist management (excluding certain brand or organization names), department-based rules and data processing profiles.
Custom Redaction Rules
You have successfully created a rule
Full Control with Custom Prompts
Define the anonymization behavior you want as free text. Industry-specific rules, exception lists and custom processing logic are passed directly to the system through the prompt.
Sample Use Cases: "Do not mask lawyer names but mask client names", "Keep company names but hide individual names", detect custom reference codes.
Discover Redactra's Capability Now!
Want more flexibility in the anonymization options?
Try our detailed demo where you can select the words you do or do not want to anonymize.
How Does Redactra Work?
1
Upload Your Document
Upload your documents in DOCX, PDF, UDF or PPTX format, or your PNG, JPG, JPEG images, to the system; then choose one of the masking, labeling or replacement-with-dummy-data methods.
2
Detect the Data
The system automatically analyzes the personal data fields within the document, classifies them and marks their locations.
3
Get a Secure Output
Depending on the method you choose, get the masked or labeled text and, if you wish, a detailed list of labels.
Sample Analysis
In Which Processes Is Redactra Used?
Call Center and Voice Transcripts
By automatically detecting personal data in call center conversations and voice transcripts, reduce KVKK risks in quality monitoring, summarization and sentiment analysis processes.
Chat and Support Records
By automatically masking personal data in customer chats and support records, use the data safely in business intelligence processes and product analytics work.
Email and CRM Notes
Automatically mask all personal data in the email content and CRM notes of sales and operations teams, and provide a secure data-sharing infrastructure within the organization.
Healthcare, Insurance and Finance Texts
By analyzing documents containing sensitive data in detail, separate personal data and create a secure, controlled and compliant data-sharing process across all departments.
Integrate Redactra into your existing workflow quickly.
Easy Integration with REST API
Thanks to the standard REST API structure, integrate it quickly and securely into your existing systems.
Batch and Real-Time Usage
Provide flexible use in batch data processing and instant data analysis scenarios.
On-Premise and Private Cloud Deployment
Benefit from secure infrastructure options with on-premise deployment or private cloud architectures as needed.
Logging and Traceable System
Ensure operational control thanks to an architecture compatible with logging, monitoring and versioning processes.
Request a sample flow diagram for your industry.
Personal Data Protection Mechanism
Reduces Personal Data Risk
By filtering personal data before analysis and processing, it reduces data leakage and compliance risks.
Purpose Limitation Principle
Thanks to masking profiles, it provides only as much visibility into data as needed, complying with KVKK and data minimization principles.
Consistent and Auditable Output
It always produces the same transformation for the same text and the same policy, ensuring consistency in audit and reporting processes.
FAQ
Share Your Documents Securely!
Let's define your redaction policies together; see the results on your own data with a short demo.