AI-Assisted
Real-Time Data Anonymization
Enter Your Email Address to Continue
Please enter your email address to use the anonymization tool.
Original Text
Anonymized Text
This tool may not capture all sensitive information. Please review the output before sharing to ensure all private information has been completely removed.
Detected Entities (0)
How Does Smart Data Anonymization Work?
Paste Your Text
Automated Detection
Smart Masking
Instant Download
What Data Types Can Be Masked?
AI-powered data anonymization tool supports the following data types to ensure full privacy and compliance:
Personal Information
- Full Name
- Dates of Birth
- Age Information
- Gender Information
Identification Data
- National ID Numbers
- Passport Numbers
- Driver’s License Numbers
- Tax Identification Numbers
Contact Information
- Email Addresses
- Phone Numbers
- Fax Numbers
- Postal Codes / Zip Codes
Financial Data
- IBAN Numbers
- Credit Card Information
- Bank Account Numbers
- Financial Amounts
Digital Data
- IP Addresses
- MAC Addresses
- URLs
- Usernames
Corporate Information
- Company Names
- Organization Names
- Department Information
- Job Titles / Positions
Location Data
- Street Addresses
- City & Country Information
- Postal Codes / Zip Codes
- GPS Coordinates
Other Sensitive Data
- Social Security Numbers
- Health Record Numbers
- License Plate Numbers
- Unique Identifiers
Unlocking Efficiency with Smart Numbering
Conventional systems hide all names under a single generic label. In contrast, our AI-powered data anonymization tool distinguishes each entity using smart counters, preserving the text’s meaning and internal relationships.
When the same person or data point recurs, the system recognizes it and applies a consistent label, ensuring data integrity remains intact throughout the anonymized text.
Input: Ahmet Yılmaz
Output: [NAME1]
Input: Ayşe Kaya
Output: [NAME2]
Input: Ahmet Yılmaz (Tekrar)
Output: [NAME1]
Frequently Asked Questions
1. What is the Data Anonymization Tool and How Does It Work?
AI-powered data anonymization solution that automatically detects and masks personally identifiable information (PII) and sensitive data within text. It identifies critical data such as National ID numbers (TCKN), phone numbers, email addresses, IBANs, and names without the need for manual intervention. By applying consistent masking, it preserves the context of the text while ensuring secure, GDPR and KVKK-compliant data utilization.
2. Why Should Organizations Work with Anonymized Data Instead of Raw Data?
3. Who Should Use Data Anonymization?
Data anonymization has a wide range of applications, from teams analyzing support tickets and customer messages to small, medium, and large-scale enterprises. It enables IT teams to secure logs and system records while allowing product teams to operate in demo and test environments without using real data. Furthermore, it empowers professionals sharing data for legal, educational, or reporting purposes to utilize information securely by protecting personal and sensitive details.
4. Is SPIDYA’s text anonymizer compliant with KVKK, GDPR, and HIPAA?
Yes, SPIDYA is engineered to streamline compliance with global mandates like GDPR and KVKK. Our data anonymization engine permanently obscures sensitive identifiers, effectively eliminating re-identification risks. In highly regulated industries such as healthcare, SPIDYA provides the secure, anonymized outputs necessary to meet strict privacy standards and internal audit requirements.
5. How is my data protected during anonymization?
6. How is data utility and information loss managed?
By leveraging AI-driven data anonymization, the tool aims to protect the contextual integrity of the text. This process maintains the data’s utility for reporting and testing purposes, ensuring that while sensitive identifiers are masked, the overall business intelligence and meaning are preserved with minimal information loss.