Skip to main content

Presidio Analyzer package

Project description

Presidio analyzer

Description

The Presidio analyzer is a Python based service for detecting PII entities in text.

During analysis, it runs a set of different PII Recognizers, each one in charge of detecting one or more PII entities using different mechanisms.

Presidio analyzer comes with a set of predefined recognizers, but can easily be extended with other types of custom recognizers. Predefined and custom recognizers leverage regex, Named Entity Recognition and other types of logic to detect PII in unstructured text.

Deploy Presidio analyzer to Azure

Use the following button to deploy presidio analyzer to your Azure subscription.

Deploy to Azure

Simple usage example

from presidio_analyzer import AnalyzerEngine

# Set up the engine, loads the NLP module (spaCy model by default) and other PII recognizers
analyzer = AnalyzerEngine()

# Call analyzer to get results
results = analyzer.analyze(text="My phone number is 212-555-5555",
                           entities=["PHONE_NUMBER"],
                           language='en')
print(results)

Documentation

Additional documentation on installation, usage and extending the Analyzer can be found under the Analyzer section of Presidio Documentation

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

presidio_analyzer-2.2.358-py3-none-any.whl (114.9 kB view details)

Uploaded Python 3

File details

Details for the file presidio_analyzer-2.2.358-py3-none-any.whl.

File metadata

File hashes

Hashes for presidio_analyzer-2.2.358-py3-none-any.whl
Algorithm Hash digest
SHA256 21f0b56feb61c91f80a50662da4446a040080bb8989b20bccf9cb826189e4b93
MD5 7b9ae2deec789e3996289f38e7c0834c
BLAKE2b-256 938fc691f303d7ff181aee0c858467bdcfc2f6d79e4301527eb7102ae6773374

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page