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Kiendelezi cha Kutokujulikana kwa PII cha LibreOffice

Mwongozo wa hatua kwa hatua wa kutokujulikana PII katika hati za LibreOffice kwa kutumia kiendelezi cha anonym.legal.

March 10, 202610 dakika kusoma
LibreOffice extensiondocument anonymizationPII redactionopen source officeWriter anonymizationformat preservation

Kiendelezi cha Kutokujulikana kwa PII cha LibreOffice

LibreOffice ina watumiaji wanaokadiriwa milioni 200 duniani kote. Serikali, shule, na biashara zote zinategemea programu hii. Wengi wanaitumia kuepuka leseni za programu za gharama. Lakini hadi sasa, watumiaji hawakuwa na zana iliyojengwa ndani ya kutafuta na kuondoa data ya kibinafsi kutoka kwa faili zao.

Suluhisho la zamani lilikuwa la uchungu. Nakili maandishi kwenye programu ya wavuti. Yatokujulikane. Yabandike tena. Hii inaharibu uumbizaji. Inabatilisha meza, mitindo, na mpangilio. Kwa hati ngumu za Writer, hii haifanyi kazi.

Kiendelezi cha anonym.legal kinasolve hili. Kinafanya kazi ndani ya programu. Kinatambua aina 285+ za viumbe katika Writer, Calc, na Impress.

Sakinisha kwa Chini ya Dakika Mbili

Kiendelezi kinajumuishwa kama faili ya .oxt. Hii ndiyo muundo wa kawaida wa viendelezi vyote.

Usakinishaji wa Haraka:

  1. Pakua .oxt kutoka anonym.legal/api/download/libreoffice
  2. Bonyeza mara mbili faili
  3. Thibitisha kisukari
  4. Washa upya

Usakinishaji wa Mkono:

  1. Fungua programu
  2. Nenda kwenye Zana, kisha Meneja wa Viendelezi
  3. Bonyeza Ongeza, kisha chagua faili ya .oxt
  4. Washa upya

Baada ya kuwasha upya, upau wa pembeni wa anonym.legal unaonyesha chini ya Angalia, kisha Upau wa Pembeni. Ingia ili kuanza.

Jinsi Utambuzi Unavyofanya Kazi

Injini mbili zinafanya kazi pamoja kupata PII.

InjiniInapataKujiamini
RegexBarua pepe, SSN, IBAN, kadi za mkopo, nambari za simu1.0
spaCy NLPMajina, mashirika, maeneo0.85+

Utambuzi unafanya kazi kwenye API ya anonym.legal. Maandishi yanakwenda kwenye seva zilizothibitishwa nchini Ujerumani. Seva zinashikilia hali ya ISO 27001. Matokeo yanarudishwa kwenye kiendelezi. Hakuna faili za hati zinazotumwa. Maandishi tu ndio yanayopitishwa.

Kila programu inafanya nini:

  • Writer: Inachimba maandishi kamili au uteuzi tu
  • Calc: Inasoma seli kama maadili yaliyotenganishwa na tabo kwenye karatasi zote
  • Impress: Inasoma vitu vya maandishi kutoka kwa slaidi zote

Mbinu Tano za Kutokujulikana

MbinuMfanoInaweza kugeuzwa?Darasa la GDPR
BadilishaJohn Smith → PERSONHapanaKutokujulikana (Recital 26)
Fichajohn@example.com → j***@e***.comHapanaKutokujulikana
Futa555-0123 → [REDACTED]HapanaKutokujulikana
Piga chapa (SHA-256/512)SSN → a1b2c3d4...HapanaKutokujulikana bandia (WP29)
Simba fiche (AES-256-GCM)Jina → ENC:xyz...NdiyoKutokujulikana bandia (Ibara ya 4(5))

Unaweza kuchanganya mbinu katika upitishaji mmoja. Badilisha majina, lakini simba fiche barua pepe. Kila aina ya viumbe inapata kanuni yake.

Muundo Unabaki Umejaa katika Writer

Hii ndiyo ushindi mkuu dhidi ya kunakili-kubandika. Kiendelezi kinashikilia uumbizaji wote kinapobadilisha maandishi.

Mali saba za fonti zilizohifadhiwa:

  • Familia, ukubwa, nzito, mshindo, rangi, kupiga mstari, kupiga mstari wa katikati

Mali nne za aya zilizohifadhiwa:

  • Mpangilio, inden ya mstari wa kwanza, ukingo wa kushoto, ukingo wa kulia

"John Smith" katika Times New Roman nzito ya ukubwa 14 inakuwa "PERSON" katika mtindo huo huo. Meza, vichwa, na visa vya chini vinabaki sawa. Kiendelezi kinafanya kazi ndani ya mfano wa hati. Haiumba na kuingiza tena maandishi.

Kumbuka: Ufuatiliaji wa muundo unatumika kwa Writer tu. Calc na Impress hufanya uingizwaji wa ngazi ya maandishi tu.

Kagua Kabla ya Kutumia

Hakiki inaonyesha hadi viumbe 50 vilivyopatikana. Kila safu inaonyesha:

  • Aina ya viumbe (MTU, ANWANI_YA_BARUA_PEPE, NAMBARI_YA_SIMU, n.k.)
  • Maandishi ya asili
  • Uingizwaji uliopendekezwa
  • Alama ya kujiamini

Kubali au kukataa kila kiumbe kimoja kimoja. Chagua vyote au futa yote kwa kubonyeza mara moja. Hakuna kinachobadilika hadi ubonyeze Tumia. Katika Writer, Ctrl+Z inafuta shughuli ya mwisho.

Violezo Vinavyosawazika Kwenye Vifaa

Hifadhi mipangilio yako kama kiolezo. Chagua aina za viumbe, mbinu, na vizingiti. Kitumie tena kwenye hati zako zote. Kinaokoa muda.

Kwenye mipango ya kulipwa, violezo vinavyosawazika kwenye bidhaa zote za anonym.legal. Sanidi moja kwenye programu ya wavuti. Inaonekana kwenye programu ya mezani na Ziada ya Ofisi ndani ya dakika tano. Funguo za usimbaji fiche hutumia ufunikaji wa maarifa-sifuri. Nenosiri lako tu linaweza kuziondoa usimbaji.

Kwa maelezo zaidi kuhusu jinsi Ziada ya Ofisi inavyoshughulikia mtiririko huo huo katika Word, angalia Ufichiaji wa Ziada ya Word kwa Makampuni ya Kisheria.

LibreOffice dhidi ya Microsoft Office

Viendelezi vyote viwili vinashiriki msingi huo huo. Maandishi sawa yanazalisha matokeo sawa katika Writer na katika Word. Injini ni moja na ile ile.

KipengeleKiendelezi cha LibreOfficeZiada ya Ofisi
Aina za viumbe285+285+
Lugha4848
Mbinu55
Ufuatiliaji wa muundoWriter tuWord tu
HakikiHadi viumbe 50Hadi viumbe 50
Uthibitishaji wa ZKNdiyoNdiyo
Usawaziko wa kiolezoNdiyo (mipango ya kulipwa)Ndiyo (mipango ya kulipwa)
MajukwaaWindows, macOS, LinuxWindows, Mac, Wavuti, iPad

Kwa mwonekano mpana zaidi wa uzingatiaji wa PII kwenye mifumo ya uendeshaji, angalia Uzingatiaji wa PII Kwenye Majukwaa: Mac, Linux, Windows.

Mahitaji ya Mfumo

  • LibreOffice 3.0 au zaidi
  • Python 3 (imejumuishwa na usakinishaji mwingi)
  • Ufikiaji wa Intaneti (kwa API ya utambuzi wa PII)
  • Akaunti ya anonym.legal (ngazi ya bure: tokeni 200/mwezi)

Anza

  1. Pakua kiendelezi
  2. Bonyeza mara mbili ili kusakinisha, kisha washa upya
  3. Fungua Angalia → Upau wa Pembeni → paneli ya anonym.legal
  4. Ingia
  5. Fungua hati, bonyeza Changanua, kagua, bonyeza Tumia

Maandishi kamili: Maandishi ya Kiendelezi cha LibreOffice

Vyanzo

  • The Document Foundation — watumiaji wanaokadiriwa 200M+ wa LibreOffice duniani kote
  • Upimaji wa Utambuzi wa PII wa anonym.legal — usahihi wa 95.5%, majaribio 42/44 ya kujitegemea
  • GDPR Recital 26 — kutokujulikana kunaondoa data kutoka kwenye upeo wa GDPR; Kifungu cha 4(5) — ufafanuzi wa kutokujulikana bandia

Tayari kulinda data yako?

Anza kuanonymisha PII na aina 285+ za vitu katika lugha 48.

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.