By George Curta · Last updated 2026-06-15
anonym.legal vs Redact PDF AI
Redact PDF AI将您的文档上传到Microsoft Azure进行处理，这意味着他们的服务器可以读取您的纯文本文件。anonym.legal在传输前使用客户端AES-256-GCM加密：您的数据永远不会以未加密的形式离开您的设备，我们的服务器在架构上无法解密您的内容。
了解更多关于 Redact PDF AI
功能对比
| 功能 | anonym.legal | Redact PDF AI |
|---|---|---|
| 数据驻留地 | Yes | Microsoft Azure(提供EU地区) |
| 加密模型 | Yes | 仅传输中的HTTPS |
| 提供商可以读取纯文本 | Yes | 是 – 纯文本上传 |
| 数据保留 | Yes | 30天 |
| 符合Schrems II | Yes | 否 |
| CLOUD Act风险 | Yes | 是(Microsoft / US管辖) |
| 定价 | Free to €29/mo | $50-$250+/月 |
| 实体类型 | 285+ | 未记载 |
| 语言支持 | 48 languages | 未记载 |
| 可逆加密 | AES-256-GCM | 否 |
| 检测方法 | Yes | 专有AI(非确定性) |
| 审计追踪 | Yes | 未发现 |
| 桌面应用 | Yes | 否 |
| ISO 27001 | Yes | 未发现 |
本对比基于公开可获得的信息。“未找到”表示产品页面未有相关功能说明。最后更新于2026年2月。
为什么选择anonym.legal
德国Hetzner – 无CLOUD Act风险
所有处理都在德国的ISO 27001认证服务器上运行。美国法律无法强制访问。Redact PDF AI使用受CLOUD Act管辖的Azure基础设施。
零知识架构
Argon2id密钥导出和AES-256-GCM加密在您的浏览器或桌面应用中进行。anonym.legal服务器仅存储他们无法解密的密文。Redact PDF AI接收纯文本上传。
符合Schrems II
向可以访问纯文本的提供商转移违反Schrems II下的GDPR第44条。用户持有密钥的零知识加密可以解决这个问题。纯文本Azure上传不能。
零数据保留
anonym.legal不保留已处理的数据。Redact PDF AI在Azure服务器上保留上传的文档30天。
285+实体类型、48种语言
具有按实体置信度评分和完整审计追踪的确定性3层NLP(Presidio + spaCy + XLM-RoBERTa)。不是专有黑箱AI。
透明定价
免费层级 + €3-€29/月。Redact PDF AI收费$50-$250+/月，没有免费层级。
anonym.legal是正确选择的时候
当以下情况时，anonym.legal是更好的选择：
- 您处理受GDPR、BDSG、NIS2或HIPAA限制的文档，需要符合Schrems II的处理
- 您的法律团队需要一个在架构上无法读取您内容的数据处理者
- 您需要可逆加密 – 为了审计或法院命令解密匿名化数据
- 您以48种语言处理文档，而不仅仅是英语
- 成本很重要 – 透明定价比Redact PDF AI低10倍
常见问题解答
Redact PDF AI是否符合Schrems II和GDPR第44条？
Redact PDF AI上传文档到Microsoft Azure进行处理，这意味着Azure基础设施可以访问纯文本文件。根据Schrems II(ECJ C-311/18)，向可以访问纯文本数据的美国提供商的转移在没有额外保护措施的情况下与GDPR第44条不兼容。anonym.legal的零知识架构 – 传输前的AES-256-GCM加密、用户持有的密钥、德国Hetzner基础设施 – 直接解决了这一问题。
CLOUD Act是什么，为什么它对PDF删除很重要？
美国CLOUD Act(2018)允许美国执法部门强制美国云提供商披露数据，无论数据存储在何处。上传到Azure(美国公司Microsoft)的数据即使存储在欧盟地区，也受CLOUD Act管辖。anonym.legal使用德国公司Hetzner在德国基础设施上运营，零知识加密防止任何方获得纯文本。
Redact PDF AI保留上传的文档多久？
Redact PDF AI在Azure服务器上保留上传的文档30天。anonym.legal实行零数据保留 – 处理后的数据不存储在我们的服务器上。用户可以随时通过账户仪表板删除他们的数据。
anonym.legal是否支持Redact PDF AI缺乏的可逆删除？
是的。anonym.legal使用AES-256-GCM将PII替换为加密的占位符。原始数据可以由持有解密密钥的任何人恢复 – 对法律审计、法院命令披露或内部审查很有用。Redact PDF AI永久删除检测到的内容，没有恢复选项。
检测精度如何比较？
anonym.legal使用确定性3层NLP管道：Presidio(基于规则)、spaCy/Stanza(统计NLP)和XLM-RoBERTa(变换器模型)。结果可重现并可通过按实体置信度评分进行审计。Redact PDF AI使用专有AI，产生非确定性结果 – 同一文档在连续运行中可能产生不同的删除，这对于规定遵守文件来说是有问题的。
About this page
We update this page when our platform or the law changes.
Read our founder note for how we work.
Each change shows up in the timestamp at the top.
Related reading
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
We follow these rules
- GDPR (EU 2016/679).
- ISO/IEC 27001:2022.
- NIS2 (EU 2022/2555).
- HIPAA safe harbor under 45 CFR § 164.514(b)(2).
Our promise
We do not sell your data.
We do not train models on your text.
We store your files in Germany.
You can delete your account at any time.
You own your work.
Where we run
Our servers live in Falkenstein, Germany.
We use Hetzner. They hold ISO 27001 certification.
All data stays in the EU.
Backups run every day.
Need help?
Email support@anonym.legal.
We reply within one business day.
How we test
We run a full check suite on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We track recall and precision on a labelled set.
Bad runs block the deploy.
What we never do
- We never sell your information to third parties.
- We never train models on what you upload.
- We never keep your work after you delete it.
- We never share keys with any outside firm.
- We never run ads inside the product.
Plans in plain words
We sell credits, not seats.
One credit covers one short job.
Long jobs use a few credits each.
You can top up at any time.
Unused credits roll over each month.
Read the plans page for current rates.
Who built this
A small team of engineers and lawyers built this.
We ship from Europe and work in the open.
Our founder note spells out why we started.
Where to start
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
How the parts fit
A browser add-on cleans text inside Chrome.
A Word plug-in handles drafts in Office.
A small desktop tool works on whole folders.
An agent protocol link feeds large models safely.
All four share one core engine and one rule set.
Words from our team
We started this work after a lunch about cookies.
One friend kept getting odd ads on her phone.
We asked why a court file leaked through a draft.
We sketched the first build on a napkin that week.
By month three we had a tiny demo for a friend.
She used it on her first case the next day.
Common questions we hear
Can the tool read scanned PDFs? Yes, with OCR.
Does it work on long files? Yes, in small chunks.
Can I roll my own rule set? Yes, save it as a preset.
Does it run offline? The desktop build runs offline.
Do you keep my files? No, the cloud build wipes after each run.
Will it learn from my work? No, we never train on inputs.
A short tour of the workflow
Upload a file or paste a snippet of prose.
Pick the entities you want gone from the draft.
Choose a method: replace, mask, hash, encrypt, or redact.
Press run and watch the side panel show each hit.
Skim the result and tweak any rule that misfired.
Save the cleaned file or send it to a teammate.