By George Curta · Last updated 2026-08-24
anonym.legal vs Redact PDF AI
Redact PDF AI memuat naik dokumen anda ke Microsoft Azure untuk pemprosesan — bermakna pelayan mereka boleh membaca fail teks biasa anda. anonym.legal memproses teks anda pada pelayannya sendiri di Jerman daripada menyerahkannya kepada awan pihak ketiga, jadi dokumen anda kekal dengan satu pembekal di bawah satu bidang kuasa.
Ketahui lebih lanjut tentang Redact PDF AI
Perbandingan Ciri
| Ciri | anonym.legal | Redact PDF AI |
|---|---|---|
| Kediaman Data | Yes | Microsoft Azure (rantau EU tersedia) |
| Model Penyulitan | Yes | HTTPS semasa transit sahaja |
| Pembekal Boleh Baca Teks Biasa | Yes | Ya — muat naik teks biasa |
| Pengekalan Data | Yes | 30 hari |
| Tiada Pemindahan Ke Penyedia Awan AS | Yes | Tidak |
| Pendedahan CLOUD Act | Yes | Ya (Microsoft / bidang kuasa AS) |
| Harga | Free to €29/mo | $50–$250+/bulan |
| Jenis Entiti | 267+ | Tidak didokumentasikan |
| Sokongan Bahasa | 48 languages | Tidak didokumentasikan |
| Penyulitan Boleh Balik | AES-256-GCM | Tidak |
| Kaedah Pengesanan | Yes | AI proprietari (tidak deterministik) |
| Jejak Audit | Yes | Tidak ditemui |
| Aplikasi Desktop | Yes | Tidak |
| ISO 27001 | Yes | Tidak ditemui |
Perbandingan berdasarkan maklumat yang tersedia secara umum. "Tidak ditemui" bermaksud ciri tidak didokumenkan di halaman produk. Dikemaskini kali terakhir pada Februari 2026.
Mengapa Pilih anonym.legal
Hetzner Jerman
Pelayan ISO 27001 di Jerman.
Kunci Anda Kekal Di Peranti Anda
Kunci akaun anda dihasilkan dalam pelayar atau aplikasi desktop anda dengan Argon2id dan tidak pernah dihantar kepada kami, jadi peti simpanan yang memegang kunci dan sejarah tersimpan anda tidak boleh dibaca oleh kami. Teks yang anda hantar untuk anonimisasi diproses pada pelayan Jerman kami sendiri bukannya diserahkan kepada awan pihak ketiga — Redact PDF AI memuat naiknya ke Azure.
Tiada Pemindahan Ke Penyedia Awan AS
Di bawah Schrems II, pemindahan kepada penyedia yang boleh mengakses teks biasa memerlukan perlindungan tambahan di bawah GDPR Article 44. anonym.legal memproses pada pelayannya sendiri di Jerman dan bukannya memindahkan ke awan AS. Redact PDF AI memuat naik ke Azure.
Tiada Apa Yang Disimpan Kecuali Anda Minta
Teks yang diproses tidak disimpan melainkan anda menghidupkan sejarah — dan kemudian ia disimpan secara tersulit dan anda boleh memadamnya. Redact PDF AI menyimpan dokumen yang dimuat naik selama 30 hari di pelayan Azure.
267+ Jenis, 48 Bahasa
NLP 3-lapisan.
Harga Telus
Gratis + €3–29/bulan.
Apabila tepat
Lebih baik apabila:
- GDPR/HIPAA
- Zero-knowledge
- Boleh balik
- 48 bahasa
- Harga rendah
Soalan Lazim
Schrems II?
Tidak.
CLOUD Act?
Penguatkuasa AS.
Simpan?
30 vs 0.
Boleh balik?
Ya.
Ketepatan?
NLP vs AI.
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
We follow these rules
- GDPR (EU 2016/679).
- ISO/IEC 27001:2022, held by our hosting provider.
- 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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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
Automated checks run on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We test detection against sample documents before each release.
A failing unit or integration run stops the release.
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.
Paid plans can buy top-up credits.
Credits reset at the end of each cycle.
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.