简单、透明的定价
仅为您所用的付费。没有隐藏费用,没有惊喜。
Choose Your Plan
免费
非常适合试用
200个令牌/周期
30天 • 无充值
基础版
适合个人
1,000个令牌/周期
31天 • 可充值
+250个令牌,€1
专业版
适合专业人士
4,000个令牌/周期
31天 • 可充值
+300个令牌,€1
企业版
适合团队和企业
10,000个令牌/周期
31天 • 可充值
+350个令牌,€1
完整功能比较
| Feature | Free | Basic | Pro | Business |
|---|---|---|---|---|
| 每月令牌数 | 200 | 1,000 | 4,000 | 10,000 |
| 周期长度 | 30 days | 31 days | 31 days | 31 days |
| 最大批量大小 | 2 | 5 | 10 | 50 |
| 令牌充值 | €1/250 | €1/300 | €1/350 | |
| API访问 | ||||
| MCP服务器 | ||||
| 公共预设 | ||||
| 优先支持 | ||||
| 文件上传限制 | ||||
| 最大文件大小 | 1 MB | 5 MB | 10 MB | 20 MB |
| 每批文件数 | 2 | 5 | 10 | 20 |
| 每日上传 | 5 | 50 | Unlimited | Unlimited |
| 每月上传 | 20 | 500 | Unlimited | Unlimited |
| 支持的文件类型 | TXT | PDF, DOCX, TXT, CSV | All types | All types |
理解令牌
将令牌视为游戏币。每次操作(分析或匿名化文本)根据文本长度、检测到的实体和应用的操作消耗令牌。
典型令牌费用:
短文本:1-3个令牌,中等文本:3-5个令牌,长文本:5-15个令牌
匿名化的费用略高于分析,因为需要额外的操作
重要说明:
• 令牌在每个周期结束时重置
• 未使用的令牌不会累积
• 充值的令牌在周期重置时过期
• AI实体创建每次请求消耗50个令牌
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.