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Open-Source Anonymizacia: LibreOffice

Ako organizacie verejneho sektora pouzivaju LibreOffice s rozsirenm anonym.legal na anonymizaciu dokumentov v sulade s GDPR.

March 10, 20269 min čítania
LibreOffice extensiongovernment anonymizationpublic sector GDPRopen source complianceuniversity data protection

Open-Source Anonymizacia dokumentov s LibreOffice

Vlady EÚ preechadzaju na open-source software. Taliansko, Francuzsko, Nemecko a Spanielsko maju formalne politiky preň. Šlezvicko-Holštajnsko presunulo v roku 2024 25 000 vladnych PC na LibreOffice. Francuzska zandarmeria prevádzkuje 77 000+ pracovnych staníc na GendBuntu. To je Linux build s LibreOffice.

Tieto agentúry potrebuju anonymizaciu v sulade s GDPR. Ale vacsina nastrojov PII funguje iba s Microsoft Office. To vytvara medzeru.

Rozsirenie LibreOffice anonym.legal vyplna tuto medzeru. Deteguje viac ako 285 typov entit vo Writeri, Calcu a Impressi. Bezi na Windows, macOS a Linuxe.

Preco open source vyhovuje verejnemu sektoru

Žiadne zamykanie sa na dodavatela

Microsoft 365 stoji peniaze kazdy rok. LibreOffice je bezplatny. Pre agentúry s mnohymi desktopmi je to velka uspora. Ale náklady nie su jedinym dovodom.

Open-source kod môze byt skontrolovany. Kazda agentúra môze precítat, ako funguje. Pre organy, ktore uchovavaju súbory obcanov, je to pravna potreba. Nie je to volba.

Data zostávaju v EÚ

anonym.legal bezi na serveroch Hetzner v Nemecku. Žiadne subory neopustia EÚ. S LibreOffice neexistuju žiadne prepojenia na Microsoft cloud. Cely pracovny tok zostáva na jednom mieste.

Ochrana sukromia by design

GDPR Clanok 25 vyzaduje ochranu sukromia zabudovanu v kazdom kroku. Kopírovanie textu do externeho nastroja nespĺňa toto pravidlo. Rozsirenie pracuje vnútri editora. Odstranenie osobnych udajov je sucastou kroku editovania. Nie su potrebné žiadne dalsie aplikacie. Žiadne riziko kopírovanía a vkladania.

Tri realne priklady pouzitia

Odpovede vlády na DSAR

Obcania môzu ziadat svoje zaznamy. Agentúry im ich musia zaslat. Ale musia tiez najprv skryt detaily kazdej inej osoby.

S rozsirením:

  1. Otvorte odpoved vo Writeri
  2. Kliknite Analyzovat
  3. Skontrolujte nahliad - zachovajte vlastné detaily obcana, odstranujte vsetky ostatne
  4. Aplikujte a odošlite

Nahliad je klucom. DSAR vyzaduje selektivné odstranenie, nie plné hromadné maskovanie. Kazda entita môze byt prijata alebo preskocena jedna po druhej.

Univerzitne vyskumne subory

Vyskumne timy musia pred zdielanim vysledkov stúdii odstranit mena. Projekt môze zahrnovat:

  • Tabulky Calc s menami a kontaktnymi udajmi
  • Prepisy Writera s citáciami od ucastníkov stúdie
  • Snimky Impress s detailmi ppadov pre prednásku

Jedno rozsirenie zvláda vsetky tri typy suborov. Nastavenia udrzuju rovnake pravidla napriec celym projektom.

Redakcia súdnych dokumentov

Sudy, ktore zverejnuju rozsudky, musia odstranit mena, adresy a ine osobne detaily. Rozsirenie ma tri rezímy:

  • Nahradit: Mena sa stanu PERSON_1, PERSON_2 - rovnaky stitok vzdy
  • Redaktovat: Adresy su plne odstranene
  • Maskovat: Ciastocne skrytie pre datumy alebo cisla ppadov, kde musi niektory kontext zostat

Writer zachovava vsetko formatovanie. Hlavicky, paticka a cisolovane zoznamy zostanu po akychkolvek zmenach.

Ako nasadit

Jednotlivy pouzivatel:

  1. Stiahnite .oxt z anonym.legal/api/download/libreoffice
  2. Dvojitym kliknutim nainštalujte
  3. Restartujte LibreOffice

Nasadenie IT tímom: Zdielajtje .oxt cez sietovy disk, Ansible alebo SCCM. LibreOffice môze instalovat rozsirenia z prikazoveho riadku bez vyziev pouzivatelom. Timy môzu zdielat nastavenia prostredníctvom jedneho uctu anonym.legal. To udrziava pravidla rovnake pre kazdeho pouzivatela v skupine.

Tabulka suladnosti s GDPR

Pravidlo GDPRAko je splnene
Clanok 5(1)(c) - Minimalizacia datMenia sa iba najdene PII; vsetky ostatne text zostáva rovnaky
Clanok 25 - Ochrana sukromia by designOdstranenie prebieha vnútri editora, nie v oddeleném nastroji
Clanok 32 - BezpecnostAES-256-GCM, zero-knowledge auth, servery ISO 27001
Recital 26 - AnonymizaciaNahradit, Redaktovat a Maskovat vyberaju obsah mimo rozsahu GDPR
Clanok 4(5) - PseudonymizaciaRezim Sifrovat dáva reverzibilnu pseudonymizaciu
BDSG oddiel 22Detekcia pokryva zdravotne, biometricke a etnické polia

Zaciatok prace

  1. Stiahnut rozsirenie - bezplatne
  2. Zaregistrujte sa na anonym.legal - bezplatný plan: 200 tokenov za mesiac
  3. Precitajte si uplnu dokumentaciu

Platene plany zacinaju od 3 EUR za mesiac pre 1 000 tokenov. K dispozicii su aj vysie objemy.

Pre agentúry, ktore naraz zvladaju mnozstvo podnetov, pozrite Davkove spracovanie GDPR DSAR v meritku.

Zdroje

  • Strategia open source software Europskej komisie 2020-2023
  • Vláda Šlezvicko-Holštajnska - presun 25 000 PC na LibreOffice (2024)
  • Francuzska zandarmeria - 77 000+ pracovnych staníc GendBuntu (do roku 2019)
  • GDPR Clanky 4(5), 5(1)(c), 25, 32, Recital 26
  • BDSG oddiel 22 - Nemecky spolkovy zákon o ochrane udajov

Súvisiace články

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63% of generic tools fail My Number detection in Japanese documents. My Number uses Verhoeff algorithm — the most complex national ID checksum in Asia.

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HDPA Greece: AFM & AMKA Detection

Greek AFM detected with 52% accuracy by generic tools. HDPA issued 89 decisions in 2024 — up 162% from 2022. Tourism and maritime sectors face distinct.

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NAIH Hungary: TAJ-Szám and Adóazonosító Jel

Hungarian NER accuracy is 67% vs. EU average 82% — NAIH's 2024 assessment. TAJ-szám weighted checksum and adóazonosító jel detection gaps.

Pripravení chrániť vaše údaje?

Začnite anonymizovať PII s 285+ typmi entít v 48 jazykoch.

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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.
  • 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

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.