Text Privacy Processing

Detects names, phone numbers, addresses and ID numbers in mixed Chinese and English text; the exact scope is confirmed on samples.

Mixed languages

Chinese, English and digits in the same passage are recognised together.

Entity types

Names, addresses, mobile numbers, ID numbers, emails.

Batch and structured

Process text in batches with results returned by field.

Try it

This demo runs simple rules in your browser to highlight and mask; it does not represent the production API.

0/500 characters
The result appears here

Example Text:

"I am Zhang San, currently living at No. 88 Jianguo Road, Chaoyang District, Beijing. My phone number is 13812345678, and my ID number is 110101199001011234. Please contact me at zhangsan@email.com if needed."

How It Works

Entity scope and output format are fixed on samples

Entity Recognition

Names, phone numbers, addresses, ID numbers and more; coverage is validated on your samples.

Custom Rules

Word lists and regular expressions for industry-specific identifiers and fields.

Redaction Methods

Masking, replacement or generalisation; the format is fixed before integration.

Common text

Three text types that come up in scoping; the scope follows the assessment.

Business Records and Tickets

Contact details and ID numbers in support records, tickets and form exports, masked by field.

Accompanying text

Personal information in captions, subtitles and annotations that come with images and video.

Survey and Interview Records

Personal information in questionnaires and interview transcripts.

Assess your text redaction needs

Describe text type, volume and output requirements; scope is confirmed before integration.

Request an assessment