By George Curta · Last updated 2026-04-07
Vipengele & Mchakato
Jifunze jinsi ya kutumia vipengele vyote vya programu ya desktop ya anonym.legal kwa ajili ya kuficha taarifa.
Mchakato wa Kuficha Taarifa za Hati
Kipengele kikuu cha programu ya desktop. Pitia hati katika hatua 6 rahisi:
Vuta na uachie faili kwenye eneo la kupakua au bonyeza kuchunguza. Inasaidia PDF, DOCX, XLSX, TXT, CSV, JSON, XML.
Chagua mipangilio ya kugundua inayofaa kwa matumizi yako: GDPR, HIPAA, Fedha, Maendeleo, au ya kawaida.
Bonyeza "Anza Uchambuzi" ili kutoa maandiko kwa ndani na kuyatumia kwa API kwa ajili ya kugundua PII.
Kagua vitu vilivyogunduliwa vilivyopangwa kwa aina. Ondoa vitu visivyo sahihi au ongeza mbadala za kawaida.
Chagua mfumo wa matokeo (sawa na ingizo, PDF, DOCX, au TXT) na njia ya kuficha.
Bonyeza "Hifadhi kama Faili Mpya" au "Badilisha Asili" kukamilisha kuficha.
Mipangilio ya Kugundua
Mipangilio ya awali ni wasifu wa kugundua ulioandaliwa kwa ajili ya mahitaji tofauti ya kufuata sheria na matumizi.
Kugundua PII kwa Jumla
Kiwango: 0.85Kugundua kwa kina kwa aina za kawaida za PII. Mahali pazuri pa kuanzia kwa hati nyingi.
Kufuata GDPR
Kiwango: 0.90Mahitaji ya ulinzi wa data ya Ulaya yenye kiwango cha juu cha kuaminika.
HIPAA ya Tiba
Kiwango: 0.90Ulinzi wa PHI wa huduma za afya za Marekani kwa data ya wagonjwa.
Huduma za Fedha
Kiwango: 0.95Data za benki na fedha zenye kiwango cha juu cha kuaminika.
Maendeleo & Upimaji
Kiwango: 0.70Mipangilio nyepesi kwa mazingira ya maendeleo yenye kiwango cha chini.
Mipangilio ya Kawaida
Unda mipangilio ya kawaida kwenye programu ya wavuti katika anonym.legal/app/presets. Inasawazishwa kiotomatiki na programu yako ya desktop unapojisajili.
Funguo za Kuficha
Funguo za kuficha zinawezesha kuficha kwa njia inayoweza kurejeshwa. Ni wewe pekee unayeweza kushikilia funguo, hivyo ni wewe pekee unaweza kufichua.
Kazi Zao
- Ficha PII iliyogunduliwa kwa AES-256-GCM
- Hifadhi funguo kwa ndani kwenye hazina yako iliyofichwa
- Fichua baadaye kwa kutumia njia ya Kurejesha Utambulisho
- Sawasisha kati ya vifaa kupitia akaunti yako
Jinsi ya Kutumia
- Nenda kwenye Mipangilio > Usalama
- Unda funguo mpya au sawasisha kutoka kwenye akaunti
- Wakati wa kuchakata, chagua njia ya "Ficha"
- Chagua funguo yako ya kuficha
- Hifadhi - PII sasa imefichwa, sio kubadilishwa
Kurejesha Utambulisho (Fichua)
Rejesha thamani za asili kutoka kwa hati ambazo zilifichwa kwa kutumia opereta ya "ficha".
Jinsi ya Kurejesha Utambulisho
- 1
Switch to Deanonymize Mode
Tumia kitufe cha kubadili kwenye kichwa cha programu kubadili kutoka "Ficha" hadi "Kurejesha Utambulisho"
- 2
Bandika au Chagua Maandishi
Bandika maandiko yaliyofichwa moja kwa moja au chagua kutoka kwenye historia yako ya uchakataji
- 3
Ingiza Funguo ya Kuficha
Chagua funguo ile ile ya kuficha iliyotumika wakati wa kuficha
- 4
Bonyeza "Kurejesha Utambulisho"
Thamani za asili zinarudishwa kwenye matokeo
Kumbuka: Kurejesha utambulisho kunafanya kazi tu na hati ambazo zilifichwa kwa kutumia opereta ya "ficha" na funguo unayo. Hati zinazotumia "badilisha", "ficha", "hash", au "ficha" haziwezi kurejeshwa.
Historia ya Uchakataji
Tazama na simamia historia yako ya kuficha, yote yakiwa yamehifadhiwa ndani kwenye hazina yako iliyofichwa.
Vipengele
- Tazama faili zote zilizochakatwa na alama za muda
- Angalia idadi ya vitu na tokeni zilizotumika
- Nakili maandiko ya asili au yaliyofichwa
- Tumia kwa ajili ya kurejesha utambulisho
- Yamehifadhiwa ndani kwenye hazina iliyofichwa
Faragha
- Yamehifadhiwa kwenye hazina iliyofichwa (AES-256-GCM)
- Kamwe hayajapakiwa kwenye seva
- Futa wakati wowote - kufutwa kwa kudumu
- Linalindwa na PIN yako/neno la urejelezi
Mifumo ya Faili Inayosaidiwa
| Mfumo | Ukubwa wa Juu | Ingizo | Matokeo |
|---|---|---|---|
| 50 MB | |||
| DOCX | 30 MB | ||
| XLSX | 20 MB / 100k rows | Kama TXT | |
| TXT | 50 MB | ||
| CSV | 30 MB | Kama TXT | |
| JSON | 30 MB | Kama TXT | |
| XML | 30 MB | Kama TXT |
Msaada wa Lugha
Lugha 48 za UI
Kiolesura cha programu kinapatikana kwa lugha 48. Badilisha mara moja kutoka kwenye orodha ya kichwa.
Kugundua kwa Lugha Nyingi
Kugundua vitu kunafanya kazi katika lugha zote 48 ikiwa ni pamoja na msaada wa RTL kwa Kiarabu, Kiebrania, Kifarsi, na Kiswahili.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- 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.