René's URL Explorer Experiment


Title: Index - Presidio

Description: PII anonymization for text, images, and structured data.

Mail addresses
presidio@dataprivacystack.org
presidio@dataprivacystack.org

Generator: zensical-0.0.46

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Domain: data-privacy-stack.github.io

authorData Privacy Stack
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Links:

Skip to content https://data-privacy-stack.github.io/presidio#goals
https://data-privacy-stack.github.io/presidio
GitHub https://github.com/data-privacy-stack/presidio/
Presidio https://data-privacy-stack.github.io/presidio
Quick start https://data-privacy-stack.github.io/getting_started/
Learn Presidio https://data-privacy-stack.github.io/learn_presidio/
Resources https://data-privacy-stack.github.io/supported_entities/
Recipes https://data-privacy-stack.github.io/recipes/
Samples https://data-privacy-stack.github.io/samples/
https://data-privacy-stack.github.io/presidio
GitHub https://github.com/data-privacy-stack/presidio/
Home https://data-privacy-stack.github.io/presidio
Goals https://data-privacy-stack.github.io/presidio#goals
How it works https://data-privacy-stack.github.io/presidio#how-it-works
Main features https://data-privacy-stack.github.io/presidio#main-features
Demo https://data-privacy-stack.github.io/presidio#demo
Presidio's modules https://data-privacy-stack.github.io/presidio#presidios-modules
Installing Presidio https://data-privacy-stack.github.io/presidio#installing-presidio
Running Presidio https://data-privacy-stack.github.io/presidio#running-presidio
Support https://data-privacy-stack.github.io/presidio#support
Installation https://data-privacy-stack.github.io/installation/
FAQ https://data-privacy-stack.github.io/faq/
Home https://data-privacy-stack.github.io/getting_started/
Text https://data-privacy-stack.github.io/getting_started/getting_started_text/
Images https://data-privacy-stack.github.io/getting_started/getting_started_images/
Semi/Structured data https://data-privacy-stack.github.io/getting_started/getting_started_structured/
Home https://data-privacy-stack.github.io/learn_presidio/
Concepts https://data-privacy-stack.github.io/learn_presidio/concepts/
Home https://data-privacy-stack.github.io/tutorial/
Getting started https://data-privacy-stack.github.io/tutorial/00_getting_started/
Deny-list recognizers https://data-privacy-stack.github.io/tutorial/01_deny_list/
Regex recognizers https://data-privacy-stack.github.io/tutorial/02_regex/
Rule-based recognizers https://data-privacy-stack.github.io/tutorial/03_rule_based/
Additional models/languages https://data-privacy-stack.github.io/tutorial/05_languages/
External services https://data-privacy-stack.github.io/tutorial/04_external_services/
Context enhancement https://data-privacy-stack.github.io/tutorial/06_context/
Decision process https://data-privacy-stack.github.io/tutorial/07_decision_process/
No-code recognizers https://data-privacy-stack.github.io/tutorial/08_no_code/
Ad-hoc recognizers https://data-privacy-stack.github.io/tutorial/09_ad_hoc/
Simple anonymization https://data-privacy-stack.github.io/tutorial/10_simple_anonymization/
Custom anonymization https://data-privacy-stack.github.io/tutorial/11_custom_anonymization/
Encryption/Decryption https://data-privacy-stack.github.io/tutorial/12_encryption/
Allow-lists https://data-privacy-stack.github.io/tutorial/13_allow_list/
Home https://data-privacy-stack.github.io/text_anonymization/
Home https://data-privacy-stack.github.io/analyzer/
Tutorial https://data-privacy-stack.github.io/analyzer/adding_recognizers/
Best practices https://data-privacy-stack.github.io/analyzer/developing_recognizers/
Recognizer registry from file https://data-privacy-stack.github.io/analyzer/recognizer_registry_provider/
Filtering recognizers by country https://data-privacy-stack.github.io/analyzer/filtering_by_country/
Multi-language support https://data-privacy-stack.github.io/analyzer/languages/
Home https://data-privacy-stack.github.io/analyzer/customizing_nlp_models/
Spacy/Stanza https://data-privacy-stack.github.io/analyzer/nlp_engines/spacy_stanza/
Transformers https://data-privacy-stack.github.io/analyzer/nlp_engines/transformers/
GPU Acceleration https://data-privacy-stack.github.io/analyzer/nlp_engines/gpu_usage/
Tracing the decision process https://data-privacy-stack.github.io/analyzer/decision_process/
Configure from file https://data-privacy-stack.github.io/analyzer/analyzer_engine_provider/
Home https://data-privacy-stack.github.io/anonymizer/
Developing PII anonymization operators https://data-privacy-stack.github.io/anonymizer/adding_operators/
Azure Health Data Services de-identification service integration https://data-privacy-stack.github.io/ahds_integration/
Home https://data-privacy-stack.github.io/image-redactor/
Evaluating DICOM redaction https://data-privacy-stack.github.io/image-redactor/evaluating_dicom_redaction/
Home https://data-privacy-stack.github.io/structured/
PII detection evaluation https://data-privacy-stack.github.io/evaluation/
Supported entities https://data-privacy-stack.github.io/supported_entities/
Project transition update https://data-privacy-stack.github.io/project_transition/
Community https://data-privacy-stack.github.io/community/
Change log https://github.com/data-privacy-stack/presidio/blob/main/CHANGELOG.md
Setting up a development environment https://data-privacy-stack.github.io/development/
Build and release process https://data-privacy-stack.github.io/build_release/
Changes from V1 to V2 https://data-privacy-stack.github.io/presidio_V2/
Home https://data-privacy-stack.github.io/api/
Presidio Analyzer Python API https://data-privacy-stack.github.io/api/analyzer_python/
Presidio Anonymizer Python API https://data-privacy-stack.github.io/api/anonymizer_python/
Presidio Image Redactor Python API https://data-privacy-stack.github.io/api/image_redactor_python/
Presidio Structured Python API https://data-privacy-stack.github.io/api/structured_python/
REST API reference https://data-privacy-stack.github.io/presidio/api-docs/api-docs.html
Home https://data-privacy-stack.github.io/recipes/
Contributing https://data-privacy-stack.github.io/recipes/CONTRIBUTING/
Template https://data-privacy-stack.github.io/recipes/template/
Home https://data-privacy-stack.github.io/samples/
Presidio Basic Usage Notebook https://data-privacy-stack.github.io/samples/python/presidio_notebook/
Customizing Presidio Analyzer https://data-privacy-stack.github.io/samples/python/customizing_presidio_analyzer/
Configuring The NLP engine https://data-privacy-stack.github.io/samples/python/ner_model_configuration/
Encrypting and Decrypting identified entities https://data-privacy-stack.github.io/samples/python/encrypt_decrypt/
Getting the identified entity value using a custom Operator https://data-privacy-stack.github.io/samples/python/getting_entity_values/
Anonymizing known values https://data-privacy-stack.github.io/samples/python/Anonymizing%20known%20values/
Keeping some entities from being anonymized https://data-privacy-stack.github.io/samples/python/keep_entities/
Integrating with external services https://data-privacy-stack.github.io/samples/python/integrating_with_external_services/
Remote Recognizer https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_remote_recognizer.py
Azure AI Language as a Remote Recognizer https://data-privacy-stack.github.io/samples/python/text_analytics/
Azure Health DataServices De-identification as a Remote Recognizer https://data-privacy-stack.github.io/samples/python/ahds/
Using Flair as an external PII model https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/flair_recognizer.py
Using Span Marker as an external PII model https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/span_marker_recognizer.py
Using Transformers as an external PII model https://data-privacy-stack.github.io/samples/python/transformers_recognizer/
Using GLiNER as an external PII model https://data-privacy-stack.github.io/samples/python/gliner/
Pseudonymization (replace PII values using mappings) https://data-privacy-stack.github.io/samples/python/pseudonymization/
Passing a lambda as a Presidio anonymizer using Faker https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_custom_lambda_anonymizer.py
Synthetic data generation with OpenAI https://data-privacy-stack.github.io/samples/python/synth_data_with_openai/
YAML based no-code configuration https://data-privacy-stack.github.io/samples/python/no_code_config/
Analyzing structured / semi-structured data in batch https://data-privacy-stack.github.io/samples/python/batch_processing/
Presidio Structured Basic Usage Notebook https://data-privacy-stack.github.io/samples/python/example_structured/
Analyze and Anonymize CSV file https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/process_csv_file.py
Redacting Text PII from DICOM images https://data-privacy-stack.github.io/samples/python/example_dicom_image_redactor/
Using an allow list with image redaction https://data-privacy-stack.github.io/samples/python/image_redaction_allow_list_approach/
Plot custom bounding boxes https://data-privacy-stack.github.io/samples/python/plot_custom_bboxes/
Example DICOM redaction evaluation https://data-privacy-stack.github.io/samples/python/example_dicom_redactor_evaluation/
Annotating PII in a PDF https://data-privacy-stack.github.io/samples/python/example_pdf_annotation/
Presidio with App Service https://data-privacy-stack.github.io/samples/deployments/app-service/
Presidio with Kubernetes https://data-privacy-stack.github.io/samples/deployments/k8s/
Presidio with Spark https://data-privacy-stack.github.io/samples/deployments/spark/
Presidio with Fabric https://data-privacy-stack.github.io/samples/fabric/
Redacting Telemetry with Presidio https://data-privacy-stack.github.io/samples/deployments/redacting-telemetry/
ETL using AppService/Databricks https://data-privacy-stack.github.io/samples/deployments/data-factory/presidio-data-factory/
Add Presidio as an HTTP service to your Azure Data Factory https://data-privacy-stack.github.io/samples/deployments/data-factory/presidio-data-factory-template-gallery-http/
Add Presidio on Databricks to your Azure Data Factory https://data-privacy-stack.github.io/samples/deployments/data-factory/presidio-data-factory-template-gallery-databricks/
PII Masking LLM calls using LiteLLM proxy https://data-privacy-stack.github.io/samples/docker/litellm/
Create a simple demo app using Streamlit https://data-privacy-stack.github.io/samples/python/streamlit/
Goals https://data-privacy-stack.github.io/presidio#goals
How it works https://data-privacy-stack.github.io/presidio#how-it-works
Main features https://data-privacy-stack.github.io/presidio#main-features
Demo https://data-privacy-stack.github.io/presidio#demo
Presidio's modules https://data-privacy-stack.github.io/presidio#presidios-modules
Installing Presidio https://data-privacy-stack.github.io/presidio#installing-presidio
Running Presidio https://data-privacy-stack.github.io/presidio#running-presidio
Support https://data-privacy-stack.github.io/presidio#support
herehttps://data-privacy-stack.github.io/project_transition/
https://huggingface.co/spaces/presidio/presidio_demohttps://huggingface.co/spaces/presidio/presidio_demo
Presidio analyzerhttps://data-privacy-stack.github.io/analyzer/
Presidio anonymizerhttps://data-privacy-stack.github.io/anonymizer/
Presidio image redactorhttps://data-privacy-stack.github.io/image-redactor/
Presidio structuredhttps://data-privacy-stack.github.io/structured/
Supported Python Versionshttps://data-privacy-stack.github.io/installation/#supported-python-versions
Using piphttps://data-privacy-stack.github.io/installation/#using-pip
Using Dockerhttps://data-privacy-stack.github.io/installation/#using-docker
From sourcehttps://data-privacy-stack.github.io/installation/#install-from-source
Migrating from V1 to V2https://data-privacy-stack.github.io/presidio_V2/
Samples for running Presidio via codehttps://data-privacy-stack.github.io/samples/
Running Presidio as an HTTP servicehttps://data-privacy-stack.github.io/samples/docker/
Setting up a development environmenthttps://data-privacy-stack.github.io/development/
Perform PII identification using presidio-analyzerhttps://data-privacy-stack.github.io/analyzer/
Perform PII de-identification using presidio-anonymizerhttps://data-privacy-stack.github.io/anonymizer/
Perform PII identification and redaction in images using presidio-image-redactorhttps://data-privacy-stack.github.io/image-redactor/
Example deploymentshttps://data-privacy-stack.github.io/samples/deployments/
GitHub repo's discussion boardhttps://github.com/data-privacy-stack/presidio/discussions
GitHub issuehttps://github.com/data-privacy-stack/presidio/issues
Next Installation https://data-privacy-stack.github.io/installation/
Data Privacy Stackhttps://dataprivacystack.org/
Zensical https://zensical.org/
https://github.com/data-privacy-stack/presidio
https://discord.gg/MewtBGFquB
https://github.com/orgs/data-privacy-stack/packages
https://huggingface.co/spaces/presidio/presidio_demo

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