By George Curta · Last updated 2026-08-12
Memulakan
Pasang Anonym Anonymizer dan Anonym Files dalam Nextcloud, tetapkan URL API backend, sambungkan token bersfera integrasi untuk mula redak PII hari ini.
Pasang kedua-dua aplikasi
Aplikasi ini belum diterbitkan ke Nextcloud App Store, jadi pemasangan dilakukan secara manual — mekanisme penggantian fail yang sama seperti mana-mana kemas kini aplikasi Nextcloud.
- 1.Muat turun arkib aplikasi Anonym Anonymizer dan Anonym Files dari halaman GitHub releases.
- 2.Ekstrak setiap arkib ke dalam direktori apps/ instans Nextcloud anda, menggantikan mana-mana fail sedia ada bagi aplikasi tersebut.
- 3.Jalankan occ upgrade sebagai pentadbir Nextcloud anda (atau occ app:enable anonym_anonymizer / anonym_files) supaya Nextcloud mengesan aplikasi baharu.
- 4.Aktifkan kedua-dua aplikasi dari senarai aplikasi pentadbir Nextcloud.
Konfigurasikan URL API backend
Kedua-dua aplikasi berkomunikasi dengan API anonym.legal melalui URL yang anda konfigurasikan dalam tetapan peribadi setiap aplikasi. Gunakan hos yang betul untuk persekitaran anda:
https://anonymize.businessDEV: https://anonymize.business — lalai aplikasi Nextcloud semasa integrasi ini masih khusus-dev.https://anonym.legalPengeluaran: https://anonym.legal — beralih ke hos ini sebaik sahaja integrasi aktif untuk akaun anda.
Senarai benar hos yang disahkan pada masa jalan (UrlGuard) menolak mana-mana hos lain, jadi URL yang dikonfigurasikan mesti tepat salah satu daripada dua ini — lihat Penyelesaian Masalah jika permintaan ditolak.
Tampal token bersfera integrasi anda
Janakan token API bersfera integrasi dari tetapan akaun anonym.legal anda, kemudian tampalkannya ke dalam tetapan peribadi aplikasi bersama URL API backend. Kedua-dua aplikasi berkongsi konfigurasi token yang sama secara automatik apabila kedua-duanya dipasang.
Token bersfera integrasi boleh menganalisis dan menganonimkan kandungan, tetapi tidak boleh mendapatkan semula bahan kunci yang dinyahsulit daripada akaun anda — sengaja dihadkan berbanding token API akaun penuh, supaya pelayan Nextcloud yang dikompromi tidak boleh digunakan untuk menyahsulit sejarah penyulitan boleh balik anda.
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.