upstream-archive/presidio
1
0
Fork 0
mirror of https://github.com/data-privacy-stack/presidio.git synced 2026-07-30 06:40:44 -05:00
Code Issues Packages Projects Releases Wiki Activity
Files
ced3947d0a41dcf1636731daeb655a101dcd20ad
presidio/samples/python/example_pdf_annotation/index.html

2084 lines
59 KiB
HTML
Raw Blame History

<!doctype html>
<html lang="en" class="no-js">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="description" content="PII anonymization for text and images.">
<meta name="author" content="Microsoft">
<link rel="canonical" href="https://microsoft.github.io/presidio/samples/python/example_pdf_annotation/">
<link rel="icon" href="../../../assets/ms_icon.png">
<meta name="generator" content="mkdocs-1.5.3, mkdocs-material-9.5.4">
<title>Example pdf annotation - Microsoft Presidio</title>
<link rel="stylesheet" href="../../../assets/stylesheets/main.50c56a3b.min.css">
<link rel="stylesheet" href="../../../assets/stylesheets/palette.06af60db.min.css">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
<style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
<link rel="stylesheet" href="../../../assets/_mkdocstrings.css">
<link rel="stylesheet" href="../../../css/ansi-colours.css">
<link rel="stylesheet" href="../../../css/jupyter-cells.css">
<link rel="stylesheet" href="../../../css/pandas-dataframe.css">
<script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
<script type="text/javascript">
(function(c,l,a,r,i,t,y){
c[a]=c[a]||function(){(c[a].q=c[a].q||[]).push(arguments)};
t=l.createElement(r);t.async=1;t.src="https://www.clarity.ms/tag/"+i;
y=l.getElementsByTagName(r)[0];y.parentNode.insertBefore(t,y);
})(window, document, "clarity", "script", "5pd40fk720");
</script>
</head>
<body dir="ltr" data-md-color-scheme="default" data-md-color-primary="blue-grey" data-md-color-accent="indigo">
<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
<input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
<label class="md-overlay" for="__drawer"></label>
<div data-md-component="skip">
<a href="#annotating-pii-in-a-pdf" class="md-skip">
Skip to content
</a>
</div>
<div data-md-component="announce">
</div>
<header class="md-header md-header--shadow" data-md-component="header">
<nav class="md-header__inner md-grid" aria-label="Header">
<a href="../../.." title="Microsoft Presidio" class="md-header__button md-logo" aria-label="Microsoft Presidio" data-md-component="logo">
<img src="../../../assets/ms_icon.png" alt="logo">
</a>
<label class="md-header__button md-icon" for="__drawer">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2Z"/></svg>
</label>
<div class="md-header__title" data-md-component="header-title">
<div class="md-header__ellipsis">
<div class="md-header__topic">
<span class="md-ellipsis">
Microsoft Presidio
</span>
</div>
<div class="md-header__topic" data-md-component="header-topic">
<span class="md-ellipsis">
Example pdf annotation
</span>
</div>
</div>
</div>
<label class="md-header__button md-icon" for="__search">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
</label>
<div class="md-search" data-md-component="search" role="dialog">
<label class="md-search__overlay" for="__search"></label>
<div class="md-search__inner" role="search">
<form class="md-search__form" name="search">
<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
<label class="md-search__icon md-icon" for="__search">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
</label>
<nav class="md-search__options" aria-label="Search">
<button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41Z"/></svg>
</button>
</nav>
</form>
<div class="md-search__output">
<div class="md-search__scrollwrap" data-md-scrollfix>
<div class="md-search-result" data-md-component="search-result">
<div class="md-search-result__meta">
Initializing search
</div>
<ol class="md-search-result__list" role="presentation"></ol>
</div>
</div>
</div>
</div>
</div>
<div class="md-header__source">
<a href="https://github.com/microsoft/presidio/" title="Go to repository" class="md-source" data-md-component="source">
<div class="md-source__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"/></svg>
</div>
<div class="md-source__repository">
GitHub
</div>
</a>
</div>
</nav>
</header>
<div class="md-container" data-md-component="container">
<main class="md-main" data-md-component="main">
<div class="md-main__inner md-grid">
<div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
<div class="md-sidebar__scrollwrap">
<div class="md-sidebar__inner">
<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
<label class="md-nav__title" for="__drawer">
<a href="../../.." title="Microsoft Presidio" class="md-nav__button md-logo" aria-label="Microsoft Presidio" data-md-component="logo">
<img src="../../../assets/ms_icon.png" alt="logo">
</a>
Microsoft Presidio
</label>
<div class="md-nav__source">
<a href="https://github.com/microsoft/presidio/" title="Go to repository" class="md-source" data-md-component="source">
<div class="md-source__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"/></svg>
</div>
<div class="md-source__repository">
GitHub
</div>
</a>
</div>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../.." class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../installation/" class="md-nav__link">
<span class="md-ellipsis">
Installation
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../getting_started/" class="md-nav__link">
<span class="md-ellipsis">
Quickstart
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4" >
<label class="md-nav__link" for="__nav_4" id="__nav_4_label" tabindex="0">
<span class="md-ellipsis">
Handling text
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4">
<span class="md-nav__icon md-icon"></span>
Handling text
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../text_anonymization/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_2" >
<label class="md-nav__link" for="__nav_4_2" id="__nav_4_2_label" tabindex="0">
<span class="md-ellipsis">
Step by step tutorial
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_2_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4_2">
<span class="md-nav__icon md-icon"></span>
Step by step tutorial
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../tutorial/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/00_getting_started/" class="md-nav__link">
<span class="md-ellipsis">
Getting started
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/01_deny_list/" class="md-nav__link">
<span class="md-ellipsis">
Deny-list recognizers
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/02_regex/" class="md-nav__link">
<span class="md-ellipsis">
Regex recognizers
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/03_rule_based/" class="md-nav__link">
<span class="md-ellipsis">
Rule-based recognizers
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/05_languages/" class="md-nav__link">
<span class="md-ellipsis">
Additional models/languages
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/04_external_services/" class="md-nav__link">
<span class="md-ellipsis">
External services
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/06_context/" class="md-nav__link">
<span class="md-ellipsis">
Context enhancement
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/07_decision_process/" class="md-nav__link">
<span class="md-ellipsis">
Decision process
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/08_no_code/" class="md-nav__link">
<span class="md-ellipsis">
No-code recognizers
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/09_ad_hoc/" class="md-nav__link">
<span class="md-ellipsis">
Ad-hoc recognizers
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/10_simple_anonymization/" class="md-nav__link">
<span class="md-ellipsis">
Simple anonymization
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/11_custom_anonymization/" class="md-nav__link">
<span class="md-ellipsis">
Custom anonymization
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/12_encryption/" class="md-nav__link">
<span class="md-ellipsis">
Encryption/Decryption
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../tutorial/13_allow_list/" class="md-nav__link">
<span class="md-ellipsis">
Allow-lists
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_3" >
<label class="md-nav__link" for="__nav_4_3" id="__nav_4_3_label" tabindex="0">
<span class="md-ellipsis">
Presidio Analyzer
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_3_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4_3">
<span class="md-nav__icon md-icon"></span>
Presidio Analyzer
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../analyzer/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_3_2" >
<label class="md-nav__link" for="__nav_4_3_2" id="__nav_4_3_2_label" tabindex="0">
<span class="md-ellipsis">
Developing PII recognizers
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_4_3_2_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4_3_2">
<span class="md-nav__icon md-icon"></span>
Developing PII recognizers
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../analyzer/adding_recognizers/" class="md-nav__link">
<span class="md-ellipsis">
Tutorial
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../analyzer/developing_recognizers/" class="md-nav__link">
<span class="md-ellipsis">
Best practices in developing recognizers
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="../../../analyzer/languages/" class="md-nav__link">
<span class="md-ellipsis">
Multi-language support
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_3_4" >
<label class="md-nav__link" for="__nav_4_3_4" id="__nav_4_3_4_label" tabindex="0">
<span class="md-ellipsis">
Customizing the NLP model
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_4_3_4_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4_3_4">
<span class="md-nav__icon md-icon"></span>
Customizing the NLP model
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../analyzer/customizing_nlp_models/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../analyzer/nlp_engines/spacy_stanza/" class="md-nav__link">
<span class="md-ellipsis">
Spacy/Stanza
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../analyzer/nlp_engines/transformers/" class="md-nav__link">
<span class="md-ellipsis">
Transformers
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="../../../analyzer/decision_process/" class="md-nav__link">
<span class="md-ellipsis">
Tracing the decision process
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_4" >
<label class="md-nav__link" for="__nav_4_4" id="__nav_4_4_label" tabindex="0">
<span class="md-ellipsis">
Presidio Anonymizer
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_4_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_4_4">
<span class="md-nav__icon md-icon"></span>
Presidio Anonymizer
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../anonymizer/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../anonymizer/adding_operators/" class="md-nav__link">
<span class="md-ellipsis">
Developing PII operators
</span>
</a>
</li>
</ul>
</nav>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5" >
<label class="md-nav__link" for="__nav_5" id="__nav_5_label" tabindex="0">
<span class="md-ellipsis">
Handling images
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_5_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_5">
<span class="md-nav__icon md-icon"></span>
Handling images
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../image-redactor/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../image-redactor/evaluating_dicom_redaction/" class="md-nav__link">
<span class="md-ellipsis">
Evaluating DICOM redaction
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="../../" class="md-nav__link">
<span class="md-ellipsis">
Samples
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7" >
<label class="md-nav__link" for="__nav_7" id="__nav_7_label" tabindex="0">
<span class="md-ellipsis">
General
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_7_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_7">
<span class="md-nav__icon md-icon"></span>
General
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../supported_entities/" class="md-nav__link">
<span class="md-ellipsis">
Supported entities
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_2" >
<label class="md-nav__link" for="__nav_7_2" id="__nav_7_2_label" tabindex="0">
<span class="md-ellipsis">
Development and design
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_2_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_7_2">
<span class="md-nav__icon md-icon"></span>
Development and design
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../design/" class="md-nav__link">
<span class="md-ellipsis">
Design
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../development/" class="md-nav__link">
<span class="md-ellipsis">
Setting up a development environment
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../build_release/" class="md-nav__link">
<span class="md-ellipsis">
Build and release process
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../presidio_V2/" class="md-nav__link">
<span class="md-ellipsis">
Changes from V1 to V2
</span>
</a>
</li>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_2_5" >
<label class="md-nav__link" for="__nav_7_2_5" id="__nav_7_2_5_label" tabindex="0">
<span class="md-ellipsis">
Python API reference
</span>
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_2_5_label" aria-expanded="false">
<label class="md-nav__title" for="__nav_7_2_5">
<span class="md-nav__icon md-icon"></span>
Python API reference
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../../../api/" class="md-nav__link">
<span class="md-ellipsis">
Home
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../api/analyzer_python/" class="md-nav__link">
<span class="md-ellipsis">
Presidio Analyzer Python API
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../api/anonymizer_python/" class="md-nav__link">
<span class="md-ellipsis">
Presidio Anonymizer Python API
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../api/image_redactor_python/" class="md-nav__link">
<span class="md-ellipsis">
Presidio Image Redactor Python API
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="https://microsoft.github.io/presidio/api-docs/api-docs.html" target="_blank" class="md-nav__link">
<span class="md-ellipsis">
REST API reference
</span>
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="../../../community/" class="md-nav__link">
<span class="md-ellipsis">
Community
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../../../faq/" class="md-nav__link">
<span class="md-ellipsis">
FAQ
</span>
</a>
</li>
<li class="md-nav__item">
<a href="https://huggingface.co/spaces/presidio/presidio_demo" target="_blank" class="md-nav__link">
<span class="md-ellipsis">
Demo
</span>
</a>
</li>
</ul>
</nav>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
<div class="md-sidebar__scrollwrap">
<div class="md-sidebar__inner">
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
<label class="md-nav__title" for="__toc">
<span class="md-nav__icon md-icon"></span>
Table of contents
</label>
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
<li class="md-nav__item">
<a href="#prerequisites" class="md-nav__link">
<span class="md-ellipsis">
Prerequisites
</span>
</a>
</li>
<li class="md-nav__item">
<a href="#analyze-the-text-in-the-pdf" class="md-nav__link">
<span class="md-ellipsis">
Analyze the text in the PDF
</span>
</a>
</li>
<li class="md-nav__item">
<a href="#create-phrase-bounding-boxes" class="md-nav__link">
<span class="md-ellipsis">
Create phrase bounding boxes
</span>
</a>
</li>
<li class="md-nav__item">
<a href="#add-highlight-annotations" class="md-nav__link">
<span class="md-ellipsis">
Add highlight annotations
</span>
</a>
</li>
<li class="md-nav__item">
<a href="#result" class="md-nav__link">
<span class="md-ellipsis">
Result
</span>
</a>
</li>
<li class="md-nav__item">
<a href="#note" class="md-nav__link">
<span class="md-ellipsis">
Note
</span>
</a>
<nav class="md-nav" aria-label="Note">
<ul class="md-nav__list">
<li class="md-nav__item">
<a href="#text-extraction" class="md-nav__link">
<span class="md-ellipsis">
Text extraction
</span>
</a>
</li>
</ul>
</nav>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div class="md-content" data-md-component="content">
<article class="md-content__inner md-typeset">
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
<script>
(function() {
function addWidgetsRenderer() {
var requireJsScript = document.createElement('script');
requireJsScript.src = 'https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js';
var mimeElement = document.querySelector('script[type="application/vnd.jupyter.widget-view+json"]');
var jupyterWidgetsScript = document.createElement('script');
var widgetRendererSrc = 'https://unpkg.com/@jupyter-widgets/html-manager@*/dist/embed-amd.js';
var widgetState;
// Fallback for older version:
try {
widgetState = mimeElement && JSON.parse(mimeElement.innerHTML);
if (widgetState && (widgetState.version_major < 2 || !widgetState.version_major)) {
widgetRendererSrc = 'jupyter-js-widgets@*/dist/embed.js';
}
} catch(e) {}
jupyterWidgetsScript.src = widgetRendererSrc;
document.body.appendChild(requireJsScript);
document.body.appendChild(jupyterWidgetsScript);
}
document.addEventListener('DOMContentLoaded', addWidgetsRenderer);
}());
</script>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>Path to notebook: <a href="https://www.github.com/microsoft/presidio/blob/main/docs/samples/python/example_pdf_annotation.ipynb">https://www.github.com/microsoft/presidio/blob/main/docs/samples/python/example_pdf_annotation.ipynb</a></p>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="annotating-pii-in-a-pdf">Annotating PII in a PDF</h1>
<p>This sample takes a PDF as an input, extracts the text, identifies PII using Presidio and annotates the PII using highlight annotations.</p>
<h2 id="prerequisites">Prerequisites</h2>
<p>Before getting started, make sure the following packages are installed. For detailed documentation, see the <a href="https://microsoft.github.io/presidio/installation">installation docs</a>.</p>
<p>Install from PyPI:</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code><span class="err">!</span><span class="n">pip</span> <span class="n">install</span> <span class="n">presidio_analyzer</span>
<span class="err">!</span><span class="n">pip</span> <span class="n">install</span> <span class="n">presidio_anonymizer</span>
<span class="err">!</span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">spacy</span> <span class="n">download</span> <span class="n">en_core_web_lg</span>
<span class="err">!</span><span class="n">pip</span> <span class="n">install</span> <span class="n">pdfminer</span><span class="o">.</span><span class="n">six</span>
<span class="err">!</span><span class="n">pip</span> <span class="n">install</span> <span class="n">pikepdf</span>
</code></pre></div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code><span class="c1"># For Presidio</span>
<span class="kn">from</span> <span class="nn">presidio_analyzer</span> <span class="kn">import</span> <span class="n">AnalyzerEngine</span><span class="p">,</span> <span class="n">PatternRecognizer</span>
<span class="kn">from</span> <span class="nn">presidio_anonymizer</span> <span class="kn">import</span> <span class="n">AnonymizerEngine</span>
<span class="kn">from</span> <span class="nn">presidio_anonymizer.entities</span> <span class="kn">import</span> <span class="n">OperatorConfig</span>
<span class="c1"># For console output</span>
<span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span>
<span class="c1"># For extracting text</span>
<span class="kn">from</span> <span class="nn">pdfminer.high_level</span> <span class="kn">import</span> <span class="n">extract_text</span><span class="p">,</span> <span class="n">extract_pages</span>
<span class="kn">from</span> <span class="nn">pdfminer.layout</span> <span class="kn">import</span> <span class="n">LTTextContainer</span><span class="p">,</span> <span class="n">LTChar</span><span class="p">,</span> <span class="n">LTTextLine</span>
<span class="c1"># For updating the PDF</span>
<span class="kn">from</span> <span class="nn">pikepdf</span> <span class="kn">import</span> <span class="n">Pdf</span><span class="p">,</span> <span class="n">AttachedFileSpec</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">Dictionary</span><span class="p">,</span> <span class="n">Array</span>
</code></pre></div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="analyze-the-text-in-the-pdf">Analyze the text in the PDF</h2>
<p>To extract the text from the PDF, we use the pdf miner library. We extract the text from the PDF at the text container level. This is roughly equivalent to a paragraph. </p>
<p>We then use Presidio Analyzer to identify the PII and it's location in the text.</p>
<p>The Presidio analyzer is using pre-defined entity recognizers, and offers the option to create custom recognizers.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code><span class="n">analyzer</span> <span class="o">=</span> <span class="n">AnalyzerEngine</span><span class="p">()</span>
<span class="n">analyzed_character_sets</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">page_layout</span> <span class="ow">in</span> <span class="n">extract_pages</span><span class="p">(</span><span class="s2">&quot;./sample_data/sample.pdf&quot;</span><span class="p">):</span>
<span class="k">for</span> <span class="n">text_container</span> <span class="ow">in</span> <span class="n">page_layout</span><span class="p">:</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">text_container</span><span class="p">,</span> <span class="n">LTTextContainer</span><span class="p">):</span>
<span class="c1"># The element is a LTTextContainer, containing a paragraph of text.</span>
<span class="n">text_to_anonymize</span> <span class="o">=</span> <span class="n">text_container</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span>
<span class="c1"># Analyze the text using the analyzer engine</span>
<span class="n">analyzer_results</span> <span class="o">=</span> <span class="n">analyzer</span><span class="o">.</span><span class="n">analyze</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">text_to_anonymize</span><span class="p">,</span> <span class="n">language</span><span class="o">=</span><span class="s1">&#39;en&#39;</span><span class="p">)</span>
<span class="k">if</span> <span class="n">text_to_anonymize</span><span class="o">.</span><span class="n">isspace</span><span class="p">()</span> <span class="o">==</span> <span class="kc">False</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="n">text_to_anonymize</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">analyzer_results</span><span class="p">)</span>
<span class="n">characters</span> <span class="o">=</span> <span class="nb">list</span><span class="p">([])</span>
<span class="c1"># Grab the characters from the PDF</span>
<span class="k">for</span> <span class="n">text_line</span> <span class="ow">in</span> <span class="nb">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">LTTextLine</span><span class="p">),</span> <span class="n">text_container</span><span class="p">):</span>
<span class="k">for</span> <span class="n">character</span> <span class="ow">in</span> <span class="nb">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">LTChar</span><span class="p">),</span> <span class="n">text_line</span><span class="p">):</span>
<span class="n">characters</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">character</span><span class="p">)</span>
<span class="c1"># Slice out the characters that match the analyzer results.</span>
<span class="k">for</span> <span class="n">result</span> <span class="ow">in</span> <span class="n">analyzer_results</span><span class="p">:</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">result</span><span class="o">.</span><span class="n">start</span>
<span class="n">end</span> <span class="o">=</span> <span class="n">result</span><span class="o">.</span><span class="n">end</span>
<span class="n">analyzed_character_sets</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s2">&quot;characters&quot;</span><span class="p">:</span> <span class="n">characters</span><span class="p">[</span><span class="n">start</span><span class="p">:</span><span class="n">end</span><span class="p">],</span> <span class="s2">&quot;result&quot;</span><span class="p">:</span> <span class="n">result</span><span class="p">})</span>
</code></pre></div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="output_subarea output_stream output_stdout output_text">
<pre>
<code>This is a test PDF, created by Microsoft Word.
[]
Hi my name is Charles Darwin and my email is cdarwin@hmsbeagle.org
[type: EMAIL_ADDRESS, start: 45, end: 66, score: 1.0, type: PERSON, start: 14, end: 28, score: 0.85, type: URL, start: 53, end: 66, score: 0.5]
You can contact me on 01234 567890.
[type: PHONE_NUMBER, start: 22, end: 34, score: 0.4, type: US_DRIVER_LICENSE, start: 28, end: 34, score: 0.01]
</code>
</pre>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="create-phrase-bounding-boxes">Create phrase bounding boxes</h2>
<p>The next task is to take the character data, and inflate it into full phrase bounding boxes.</p>
<p>For example, for an email address, we'll turn the bounding boxes for each character in the email address into one single bounding box.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code><span class="c1"># Combine the bounding boxes into a single bounding box.</span>
<span class="k">def</span> <span class="nf">combine_rect</span><span class="p">(</span><span class="n">rectA</span><span class="p">,</span> <span class="n">rectB</span><span class="p">):</span>
<span class="n">a</span><span class="p">,</span> <span class="n">b</span> <span class="o">=</span> <span class="n">rectA</span><span class="p">,</span> <span class="n">rectB</span>
<span class="n">startX</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span> <span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">b</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="p">)</span>
<span class="n">startY</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span> <span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">b</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="p">)</span>
<span class="n">endX</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span> <span class="n">a</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">b</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="p">)</span>
<span class="n">endY</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span> <span class="n">a</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span> <span class="n">b</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="p">)</span>
<span class="k">return</span> <span class="p">(</span><span class="n">startX</span><span class="p">,</span> <span class="n">startY</span><span class="p">,</span> <span class="n">endX</span><span class="p">,</span> <span class="n">endY</span><span class="p">)</span>
<span class="n">analyzed_bounding_boxes</span> <span class="o">=</span> <span class="p">[]</span>
<span class="c1"># For each character set, combine the bounding boxes into a single bounding box.</span>
<span class="k">for</span> <span class="n">analyzed_character_set</span> <span class="ow">in</span> <span class="n">analyzed_character_sets</span><span class="p">:</span>
<span class="n">completeBoundingBox</span> <span class="o">=</span> <span class="n">analyzed_character_set</span><span class="p">[</span><span class="s2">&quot;characters&quot;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">bbox</span>
<span class="k">for</span> <span class="n">character</span> <span class="ow">in</span> <span class="n">analyzed_character_set</span><span class="p">[</span><span class="s2">&quot;characters&quot;</span><span class="p">]:</span>
<span class="n">completeBoundingBox</span> <span class="o">=</span> <span class="n">combine_rect</span><span class="p">(</span><span class="n">completeBoundingBox</span><span class="p">,</span> <span class="n">character</span><span class="o">.</span><span class="n">bbox</span><span class="p">)</span>
<span class="n">analyzed_bounding_boxes</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s2">&quot;boundingBox&quot;</span><span class="p">:</span> <span class="n">completeBoundingBox</span><span class="p">,</span> <span class="s2">&quot;result&quot;</span><span class="p">:</span> <span class="n">analyzed_character_set</span><span class="p">[</span><span class="s2">&quot;result&quot;</span><span class="p">]})</span>
</code></pre></div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="add-highlight-annotations">Add highlight annotations</h2>
<p>We finally iterate through all the analyzed bounding boxes and create highlight annotations for all of them.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code><span class="n">pdf</span> <span class="o">=</span> <span class="n">Pdf</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">&quot;./sample_data/sample.pdf&quot;</span><span class="p">)</span>
<span class="n">annotations</span> <span class="o">=</span> <span class="p">[]</span>
<span class="c1"># Create a highlight annotation for each bounding box.</span>
<span class="k">for</span> <span class="n">analyzed_bounding_box</span> <span class="ow">in</span> <span class="n">analyzed_bounding_boxes</span><span class="p">:</span>
<span class="n">boundingBox</span> <span class="o">=</span> <span class="n">analyzed_bounding_box</span><span class="p">[</span><span class="s2">&quot;boundingBox&quot;</span><span class="p">]</span>
<span class="c1"># Create the annotation. </span>
<span class="c1"># We could also create a redaction annotation if the ongoing workflows supports them.</span>
<span class="n">highlight</span> <span class="o">=</span> <span class="n">Dictionary</span><span class="p">(</span>
<span class="n">Type</span><span class="o">=</span><span class="n">Name</span><span class="o">.</span><span class="n">Annot</span><span class="p">,</span>
<span class="n">Subtype</span><span class="o">=</span><span class="n">Name</span><span class="o">.</span><span class="n">Highlight</span><span class="p">,</span>
<span class="n">QuadPoints</span><span class="o">=</span><span class="p">[</span><span class="n">boundingBox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span>
<span class="n">boundingBox</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span>
<span class="n">boundingBox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
<span class="n">boundingBox</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span>
<span class="n">Rect</span><span class="o">=</span><span class="p">[</span><span class="n">boundingBox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">boundingBox</span><span class="p">[</span><span class="mi">3</span><span class="p">]],</span>
<span class="n">C</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
<span class="n">CA</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
<span class="n">T</span><span class="o">=</span><span class="n">analyzed_bounding_box</span><span class="p">[</span><span class="s2">&quot;result&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">entity_type</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">annotations</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">highlight</span><span class="p">)</span>
<span class="c1"># Add the annotations to the PDF.</span>
<span class="n">pdf</span><span class="o">.</span><span class="n">pages</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">Annots</span> <span class="o">=</span> <span class="n">pdf</span><span class="o">.</span><span class="n">make_indirect</span><span class="p">(</span><span class="n">annotations</span><span class="p">)</span>
<span class="c1"># And save.</span>
<span class="n">pdf</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s2">&quot;./sample_data/sample_annotated.pdf&quot;</span><span class="p">)</span>
</code></pre></div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="result">Result</h2>
<p>The output from the samples above creates a new PDF. This contains the original content, with text highlight annotations where the PII has been found.</p>
<p>Each text annotation contains the name of the entity found.</p>
<h2 id="note">Note</h2>
<p>Before relying on this methodology to detect or markup PII from a PDF, please be aware of the following:</p>
<h3 id="text-extraction">Text extraction</h3>
<p>We purposely use a different library specifically for extracting text from the PDF. This is because text extraction is hard to get right, and it's worth using a library specifically developed with the purpose in mind.</p>
<p>For more details, see:</p>
<p><a href="https://pdfminersix.readthedocs.io/en/latest/topic/converting_pdf_to_text.html">https://pdfminersix.readthedocs.io/en/latest/topic/converting_pdf_to_text.html</a></p>
<p>That said, even with a purpose built library, there may be occasions where PII is present and visible in a PDF, but it is not detected by the sample code.</p>
<p>This includes, but is not limited to:</p>
<ul>
<li>Text that cannot be reliable extracted to be analyzed. (e.g. incorrect spacing, wrong reading order)</li>
<li>Text present in previous iterations of the PDF which is hidden from text extraction. (See incremental editing)</li>
<li>Text present in images. (requires OCRing)</li>
<li>Text present in annotations.</li>
</ul>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="highlight"><pre><span></span><code>
</code></pre></div>
</div>
</div>
</article>
</div>
<script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var tab,labels=set.querySelector(".tabbed-labels");for(tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script>
<script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>
</div>
</main>
<footer class="md-footer">
<div class="md-footer-meta md-typeset">
<div class="md-footer-meta__inner md-grid">
<div class="md-copyright">
Made with
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
Material for MkDocs
</a>
</div>
<div class="md-social">
<a href="https://github.com/microsoft/presidio" target="_blank" rel="noopener" title="github.com" class="md-social__link">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg>
</a>
<a href="https://hub.docker.com/_/microsoft-presidio" target="_blank" rel="noopener" title="hub.docker.com" class="md-social__link">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M349.9 236.3h-66.1v-59.4h66.1v59.4zm0-204.3h-66.1v60.7h66.1V32zm78.2 144.8H362v59.4h66.1v-59.4zm-156.3-72.1h-66.1v60.1h66.1v-60.1zm78.1 0h-66.1v60.1h66.1v-60.1zm276.8 100c-14.4-9.7-47.6-13.2-73.1-8.4-3.3-24-16.7-44.9-41.1-63.7l-14-9.3-9.3 14c-18.4 27.8-23.4 73.6-3.7 103.8-8.7 4.7-25.8 11.1-48.4 10.7H2.4c-8.7 50.8 5.8 116.8 44 162.1 37.1 43.9 92.7 66.2 165.4 66.2 157.4 0 273.9-72.5 328.4-204.2 21.4.4 67.6.1 91.3-45.2 1.5-2.5 6.6-13.2 8.5-17.1l-13.3-8.9zm-511.1-27.9h-66v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm-78.1-72.1h-66.1v60.1h66.1v-60.1z"/></svg>
</a>
<a href="mailto:presidio@microsoft.com" target="_blank" rel="noopener" title="" class="md-social__link">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M48 64C21.5 64 0 85.5 0 112c0 15.1 7.1 29.3 19.2 38.4l217.6 163.2c11.4 8.5 27 8.5 38.4 0l217.6-163.2c12.1-9.1 19.2-23.3 19.2-38.4 0-26.5-21.5-48-48-48H48zM0 176v208c0 35.3 28.7 64 64 64h384c35.3 0 64-28.7 64-64V176L294.4 339.2a63.9 63.9 0 0 1-76.8 0L0 176z"/></svg>
</a>
</div>
</div>
</div>
</footer>
</div>
<div class="md-dialog" data-md-component="dialog">
<div class="md-dialog__inner md-typeset"></div>
</div>
<script id="__config" type="application/json">{"base": "../../..", "features": ["navigation.instant", "content.tabs.link"], "search": "../../../assets/javascripts/workers/search.c011b7c0.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
<script src="../../../assets/javascripts/bundle.7389ff0e.min.js"></script>
</body>
</html>
Reference in New Issue View Git Blame Copy Permalink