blankit 0.2.0

Detection and redaction of PII using GLiNER

blankit: PII detection and removal in python

A lightweight package for detecting and removing Personally Identifiable Information (PII).

blankit currently uses GLiNER as a backend to remove different types of PII

PII types

Due to the versatility of GLiNER, blankit can essentially detect any PII type, though by default it supports the following:

• Name
• Location
• Ethnicity
• Gender
• Business Name
• Email address
• Phone number

However, you can specify your own PII types for more bespoke applications if needed.

Getting started

Installation

Install the package either from this repo or via your favourite package manager, such as conda or uv

uv add blankit

Detecting PII

Detect and remove PII as follows:

from blankit.scanner import Scanner

text = "My name's gary and i live in fairfield with bruz and mugsy"

scanner = Scanner(pii_types=['Name', 'Location'])

# extract all the pii
entities = scanner.find_pii(text)

# remove pii from the text
text_redacted = scanner.redact(text)