By George Curta · Last updated 2026-08-12
Kako Započeti
Instalirajte Anonym Anonymizer i Anonym Files u Nextcloudu, postavite URL backend API-ja i povežite novi token kako biste danas počeli redigirati PII.
Instalirajte obje aplikacije
Aplikacije još nisu objavljene u Nextcloud App Storeu, stoga je instalacija ručna — ista mehanika zamjene datoteka koju koristi svako ažuriranje Nextcloud aplikacije.
- 1.Preuzmite arhive aplikacija Anonym Anonymizer i Anonym Files sa stranice GitHub releases.
- 2.Izdvojite svaku arhivu u direktorij apps/ vaše instance Nextclouda, zamjenjujući sve postojeće datoteke za tu aplikaciju.
- 3.Pokrenite occ upgrade kao administrator Nextclouda (ili occ app:enable anonym_anonymizer / anonym_files) kako bi Nextcloud prepoznao novu aplikaciju.
- 4.Omogućite obje aplikacije s administratorskog popisa aplikacija Nextclouda.
Konfigurirajte URL backend API-ja
Obje aplikacije komuniciraju s anonym.legal API-jem putem URL-a koji konfigurirate u osobnim postavkama svake aplikacije. Koristite ispravnog domaćina za svoje okruženje:
https://anonymize.businessDEV: https://anonymize.business — zadano za Nextcloud aplikacije dok je ova integracija samo za razvoj.https://anonym.legalProdukcija: https://anonym.legal — prijeđite na ovog domaćina čim integracija bude aktivna za vaš račun.
Popis dopuštenih domaćina koji se provjerava tijekom izvođenja (UrlGuard) odbija svakog drugog domaćina, stoga konfigurirani URL mora biti točno jedan od ova dva — pogledajte Rješavanje problema ako je zahtjev odbijen.
Zalijepite svoj token ograničenog opsega za integracije
Generirajte API token ograničenog opsega za integracije u postavkama svog anonym.legal računa, a zatim ga zalijepite u osobne postavke aplikacije uz URL backend API-ja. Obje aplikacije automatski dijele istu konfiguraciju tokena kada su obje instalirane.
Token ograničenog opsega za integracije može analizirati i anonimizirati sadržaj, ali ne može dohvatiti dešifrirani ključni materijal iz vašeg računa — namjerno je ograničeniji od punog API tokena računa, tako da se kompromitirani Nextcloud poslužitelj ne može koristiti za dešifriranje vaše povijesti reverzibilne enkripcije.
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.