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Presidio

Presidio

In one line:Presidio 是一个自动找出并抹掉文本里的姓名、电话、证件号等敏感信息,能。

自动找出并抹掉文本里的姓名、电话、证件号等敏感信息。

Official source

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Official icon for Presidio data-privacy-stackhttps://github.com/data-privacy-stack/presidioOpen official page
Official sourceYou are leaving AIWorksWell for data-privacy-stack. That site is not under our control; its content, privacy and security are its own responsibility. Please judge for yourself.

Install prompt

Copy it, paste it into your AI (Claude Code, Codex, ChatGPT…), and it installs and verifies for you.

48 lines
我需要你帮我在我的机器上安装并运行一个软件。

【软件信息】
名称:Presidio
用途:自动找出并抹掉文本里的姓名、电话、证件号等敏感信息。
官方来源:https://github.com/data-privacy-stack/presidio
许可:MIT
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1589 chars

Copy → paste into your own AI → it installs for you

Contact the original author (data-privacy-stack)

Bugs in the software itself go to the author's own official channel — that is where they actually receive them. We pass things on; we do not answer for the author.

Install failed?

Paste the raw error — once triaged and verified it is written back here, so the next person's AI avoids it. No login needed.

Official visuals

检测流程:从正则/NER 识别到匿名化
检测流程:从正则/NER 识别到匿名化 · 官方文档

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About this entry

它是什么

Presidio 是 MIT 许可的敏感信息(PII)检测与脱敏框架:从自由文本、图片与结构化数据里找出姓名、电话、邮箱、证件号、银行卡号等个人可识别信息,并按你的策略改写、遮盖或匿名化。对"要把真实材料交给模型处理"的法律、医疗、金融场景,它常被用作上线前的一道数据闸门。来源:https://github.com/data-privacy-stack/presidiohttps://github.com/data-privacy-stack/presidio

怎么用起来

主推「复制提示词」——让 AI 按官方文档装好分析器与匿名化组件,跑通一个英文样例。人工兜底:pip install 两个包 → 用官方示例识别一段文本里的 PII → 配置脱敏策略验证输出。来源:https://github.com/data-privacy-stack/presidiohttps://github.com/data-privacy-stack/presidio

以上坑来自 https://github.com/data-privacy-stack/presidiohttps://github.com/data-privacy-stack/presidio 与官方文档。

来源与署名

Mentioned from:https://github.com/data-privacy-stack/presidiohttps://github.com/data-privacy-stack/presidio · 原作者 data-privacy-stack(MIT)。

Summary for AI

Presidio 是微软开源栈里的 PII 脱敏工具(MIT),能自动识别并抹掉文本中的姓名、电话、证件号等敏感信息。

A self-contained answer paragraph — this is the part AI search quotes. · Page reviewed 2026-10-06

FAQ

它识别的准吗?

自动识别会有漏检与误报,重要场景需人工复核。

许可能商用吗?

标的是 MIT,可按 MIT 条款使用。

Pitfalls / known issues

All recorded from real installs, and injected into the prompt above.

  • •检测不保证 100% 覆盖,任何时候都不要把"过了脱敏"当成"可以随便外传"。
  • •中文文本的 PII 识别默认较弱,需额外配置,否则会大量漏检。
  • •误报会把正常词也抹掉,脱敏策略要先用真实样本调优。

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