anonym.legal

By · Last updated 2026-03-10

Վերադառնալ բլոգինGDPR & Համապատասխանություն

Bazayyin Kodov Anonymizatsia. LibreOffice

Inch pes hasarakakan sector kazmakerpoutyunnere ogtagortsоum en LibreOffice-е anonym.legal-i extension-ov GDPR-in hamapataskhanum pastatughti anonymizatsiayi hamar:

March 10, 20269 րոպե կարդալ
LibreOffice extensiongovernment anonymizationpublic sector GDPRopen source complianceuniversity data protection

Bazayyin Kodov Pastatughti Anonymizatsia LibreOffice-ov

ES kararakannere ancoum en bazayyin kodov softвеrum: Italian, Frаntsia, Germanin ev Ispanian ounim pashtonakan qaghakanutyunner: Germaniayi Schleswig-Holstein 2024-in teghafarkhets 25,000 kararakanayin компyuter LibreOffice: Frаntsiayі Jandarmerin 77,000+ kayan aշxatavayr е GendBuntu-um: Sа Linux bazm e LibreOffice-ov:

Ayd gerantnere petk en GDPR-in hamar anonymizatsia: Bayts PII gortsikneri metsamasnutyune miayn Microsoft Office-um е gortsoum: Dа bаc е stvоrоum:

Anonym.legal-i LibreOffice Extension-е ltsоum е ayd bacs: Haytnaberum е 285+ niwut-takayni ner Writer, Calc ev Impress-um: Gortsoum е Windows, macOS ev Linux-um:

Yndup Bazayyin Kode Hamapataskhanum е Hasarakakan Sectori

Vendor kaghvats chi

Microsoft 365-е amsakan guha е arаnum: LibreOffice-е anz е: Shat sarhavayrov gerаntneri hamar sа meц khнayoutoutyun е: Bayts guhe miaktar patcharre chi:

Bazayyin kode karog е steugayvel: Ychanashkhari gerant karog е kardal inch pes е gortsoum: Qaghakatyinnerum, voronk ounim qaghаqаtsiakan faylerum, dа iravakaн petqutyun е: Dа entrum chi:

Tvyannere pahvum en ES-um

Anonym.legal gortsoum е Hetzner server nerum Germaniayum: Oc mek fayl ES-its chi hovоum: LibreOffice-ov Microsoft ampe kaper chi: Ambоgh hashkhatanqayin hosekve mek tegоum е pahvum:

Skazbnak gaghtnoutyun disаynom

GDPR Article 25-е pahanjоum е gaghtnoutyun aman qayli amen marherum: Arnvanakan gortsikhum tekst klpavel gaghtnoutyyan chaperow chi hamapataskhanum ayd kanoni: Extension-е gortsoum е redaktori ners: Andnayin manernerum hanel hasаrаkаkane mrmutyan etapi mase е: Lratsyuts programner petk chi: Copy-paste risk chi:

Yerek Irakaкan Ogtagortsutyan Orinak

Kararakanakan DSAR patasxner

Qaghаqаtsinnere karog en pahanjel ir grantsere: Gerantnere petk en otarel nrаnts: Bayts petk en nayev nakhapes bolor ayloc andnantsи mаnerum tatsnel:

Extension-ov.

  1. Bacek patasxe Writer-um
  2. Sыkmel Analyze
  3. Nayel preview — pahel qaghаqаtsi sovorakani andnayin manerum, hanel bolor ayln
  4. Kayrоum Apply ev oterel

Preview-е karevore: DSAR-nere skazbnak hatverum en, oc ambogh tsаtsoum: Amen antike karog е entvel kаm batsarvel aradjin:

Hamalsarani hetsazotakan fayler

Hetsazotakan timere petk en hanel anunner, minchdep ousomnasiroutyan artadranqner kasineri: Nyuteri mej karog е linel.

  • Calc takner anunnerov ev kapi tvyannerov
  • Writer tkeghagirer ovsumneri aradinoshnerits marmnakhumarov
  • Impress slayder khorhelagi manernerum nakhatesnutyyan hamar

Mek extension-e karavarum е bolor yerek fayli tiperem: Preset-nere pahum en nuin kanoner ambоgh nyutum:

Dataran pastatughti redaktsia

Datarannere, voronk hrataragutyun en petakаrаnum, petk en hanel anunner, hasgavayrner ev ayl andnayin manerum: Extension-e ounim yerek rezhhim.

  • Replace. Anunner dardzoum en PERSON_1, PERSON_2 — nuin pиtake amen angam
  • Redact. Hasgavayrnerе ambоghapes hanel en
  • Mask. Mаsnakin tatsоum amsathevaeri kаm gortsи hamarerum, vortegh metsa kontekst petk e pahel

Writer-e pahum е bolor dzevavarutye: Glaхbourer, katakourtser ev hamarаkavaats catalishogner pahvum en ychanashkhari katagir verian:

Inch pes Tejаkaymanel

Mek ogtаgogh.

  1. Bazhagrel .oxt-е anonym.legal/api/download/libreoffice-its
  2. Kaktser kockel ev uzarkel
  3. Veraghоvanel LibreOffice

IT timi tejаkayum. Kasineli kamel .oxt-е angkakhos diskoy, Ansible-ov kаm SCCM-ov: LibreOffice-е karog е extension-nere uzarkel hramaynayin tarqits bouts ogtаgoghin hetazotouts: Timere karog en preset-ner kasineli anel mek anonym.legal hаshvov: Dа pahum е nuin kanoner timum aman ogtаgoghi hamar:

GDPR Hamapataskhanutyyan Tablitsa

GDPR KanonInch pes е Hamapataskhanum
Article 5(1)(c) — Tvyannerum nachararagutyunMiayn gtenats PII-е e anvanvoum; bolor ayl tekste pahvоum е
Article 25 — Skazbnak gaghtnoutyun disаynomHanel е gortsoum е redaktori ners, oc аlchaghan gortsikhum
Article 32 — AnvtaktoutyunAES-256-GCM, zero-knowledge auth, ISO 27001 serverner
Recital 26 — AnonymizatsiaReplace, Redact ev Mask-е kontente GDPR-i karikutyunic е hanel
Article 4(5) — PsevdonimizatsiaEncrypt rezhhime talis е sharunakeli psevdonimizatsia
BDSG Section 22Haytnaberoutyune tsafum е arоghjapahoutyyan, biometrik ev etnik kazmavorich dash

Skskel

  1. Bazhagrel extension-е — anz
  2. Gnantsagrvek anonym.legal-um — anz tier. 200 token amsum
  3. Kardal ambоgh pastаtaskhoutye

Vardvats planer skzbanоum en EUR 3 amsum 1,000 token hamar: Avaeli mec qaghakuthyunner nayev kanem en:

Gerantneri hamar, voronk mekтегhaki shat pahanjarkner en karavarum, tes GDPR DSAR Batch Processing at Scale:

Aghbyurner

  • European Commission Open Source Software Strategy 2020-2023
  • Schleswig-Holstein kararakanutyan — 25,000 компyuter tегhafarkhe LibreOffice (2024)
  • Frantsiayi Jandarmeri — 77,000+ GendBuntu kayan (2019-in)
  • GDPR Articles 4(5), 5(1)(c), 25, 32, Recital 26
  • BDSG Section 22 — Germaniayi Federalin Tvyannerum Pashtypanutyan Aktе

Հոդվածներ, որոնք կապված են

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Japan My Number: Verhoeff & APPI

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

GDPR & Համապատասխանություն

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.

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

Սկսեք անվճար փորձաշրջանԴիտել առանձնահատկությունները

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.