By · Last updated 2026-05-16

Nyaraka

Kila unachohitaji kujua kuhusu anonym.legal. Kuanzia kuanza matumizi hadi vipengele vya juu, pata majibu na miongozo hapa.

Muhtasari wa Jukwaa

Lugha 48

Msaada kamili wa ugunduzi wa PII katika lugha 48 kwa ugunduzi wa lugha kiotomatiki na mbadala wa Kiingereza.

Aina 285+ za Huluki

Tambua majina, barua pepe, nambari za simu, anwani, SSNs, IBANs, kadi za mkopo, na aina nyingine nyingi za PII.

GDPR & ISO 27001

Imetengenezwa kwa ajili ya uzingatiaji wa kanuni za ulinzi wa data za Ulaya na viwango vya kimataifa vya usalama.

Maswali Yanayoulizwa Mara kwa Mara

Ninawezaje kuanza na anonym.legal?

Anza na Mwongozo wa Kuanza Haraka wetu unaokuongoza kuunda akaunti, ufichaji wa taarifa binafsi wako wa kwanza, na uelewa wa mfumo wa tokeni. Unaweza kuanza kufanya kazi chini ya dakika 5 kwa ngazi yetu ya bila malipo.

anonym.legal hutambua aina ngapi za huluki?

anonym.legal hutambua aina 285+ za huluki zikiwemo majina, anwani, nambari za simu, barua pepe, SSNs, kadi za mkopo, IBANs, nambari za rekodi za matibabu, vitambulisho vya nchi maalum, na vingine vingi. Aina zote za huluki zinaunga mkono uthibitishaji wa checksum pale inapowezekana.

Ni lugha gani zinazosaidiwa kwa ugunduzi wa PII?

Tunaunga mkono lugha 48 zikiwemo Kiingereza, Kijerumani, Kifaransa, Kihispania, Kiitaliano, Kireno, Kiholanzi, Kipolandi, Kirusi, Kichina, Kijapani, Kikorea, Kiarabu, Kiebrania, na nyingine nyingi. Kila lugha ina miundo ya NER iliyoboreshwa kwa ugunduzi sahihi.

Je, anonym.legal inazingatia GDPR na ISO 27001?

Ndiyo. anonym.legal imetengenezwa kwa ajili ya uzingatiaji. Data yote inasindikwa kwenye seva zilizoidhinishwa za ISO 27001 nchini Ujerumani. Tunatoa uthibitishaji wa Zero-Knowledge, kutohifadhi maudhui, usimbaji fiche wa TLS 1.2/1.3, na uzingatiaji kamili wa GDPR ukiwa na Mikataba ya Usindikaji wa Data inayopatikana.

Tofauti kati ya Programu ya Wavuti, Programu ya Eneo-kazi, na Kiongezi cha Office ni nini?

Programu ya Wavuti hufanya kazi katika kivinjari chochote kwa ufichaji wa maandishi wa haraka. Programu ya Eneo-kazi (Windows, macOS, Linux) hushughulikia usindikaji wa mafaili kwa mafungu kwa ushughulikiaji wa faili za ndani. Kiongezi cha Office hujumuika moja kwa moja ndani ya Microsoft Word kwa ufichaji wa taarifa ndani ya hati bila nakili-bandika.

Unahitaji Msaada Zaidi?

Huwezi kupata unachotafuta? Angalia FAQ yetu au wasiliana na timu yetu ya usaidizi.

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.