By George Curta · Last updated 2026-06-15
anonym.legal vs Caviard.ai
Caviard.ai is 'n Chrome-uitbreiding wat regex-patrone vir PII-opsporing gebruik en bereik 60–75% herroeping met 15–30% valse positiewe koerse — onvoldoende vir gereglementeerde naleveringswerk. anonym.legal se 3-laag NLP-enjin lewer 92–98% herroeping oor 48 tale met deterministiese, ouditsbare resultate op web, desktopaanwending, Office Add-in, en alle blaaiers.
Meer oor Caviard.ai
Kenmerkvergelyking
| Kenmerk | anonym.legal | Caviard.ai |
|---|---|---|
| Opsporingtegnologie | Yes | Slegs regex-patrone |
| Entity Types | 285+ | ~30–50 patrone |
| Taalondersteuning | 48 languages | Beperkt (regex-gapings op nie-ASCII) |
| Platformondersteuning | Yes | Slegs Chrome-uitbreiding |
| Per-Entiteit Vertrouenswaardigheidsgradering | Yes | Nee |
| Deterministiese Resultate | Yes | Patroon-gebaseerd alleenlik |
| Herroepingskoers | Yes | 60–75% |
| Valse Positiewe Koers | Yes | 15–30% |
| ISO 27001 | Yes | Nie gedokumenteer nie |
| Naleveringsouditspoor | Yes | Nee |
| Omkeerbare Versleuteling | AES-256-GCM | Nee (plaaslike blaaierverwerking) |
| Office Add-in | Yes | Nee |
| Prysstelling | Free to €29/mo | Nie gepubliseer nie |
Vergelyking gebaseer op publiek beskikbare inligting. "Nie gevind nie" dui aan dat kenmerk nie op produkblad gedokumenteer is nie. Laas opgedateer Februarie 2026.
Hoekom Kies anonym.legal
Alle Blaaiers + Desktopaanwending — Nie Slegs Chrome
anonym.legal werk in Chrome, Firefox, Edge, Safari, en as desktopaanwending. Caviard.ai is 'n Chrome-uitbreiding — personeel wat ander blaaiers gebruik, kry geen beskerming nie.
Deterministiese NLP vs. Regex-Patrone
anonym.legal gebruik 3-laag NLP (Presidio + spaCy + XLM-RoBERTa-transformatore). Regex kan konteks nie verstaan nie: dit mis ligging-entiteite, verwar maatskappyname met teks, en misluk op alle nie-ASCII-skrifte.
ISO 27001-Gesertifiseerde Infrastruktuur
anonym.legal loop op Hetzner Germany met ISO 27001-sertifikering. Caviard.ai het geen gedokumenteerde veiligheidssertifiseringe nie.
48 Tale vs. Regex-Gapings
Regex-gebaseerde opsporing misluk op Duitse omlawte, Arabies, Chinees, Hebreeus, en ander nie-ASCII-karakters. anonym.legal se meertalige NLP dek 48 tale inheems.
Per-Entiteit Vertrouenswaardigheidsgradering
Elke opsporing sluit 'n 0–100% vertrouenswaardigheidsgradering en die reël/model wat dit geaktiveer het in — vereis vir regsverantwording en HIPAA-ouditspore. Caviard.ai bied geen vertrouenswaardigheidsgradering nie.
285+ Entity Types
Land-spesifieke ID's met somtoetsvalidering, 48-taal NER, mediesiese rekordsommers, finansiële identifiseerders. Caviard.ai dek ~30–50 regex-patrone.
Wanneer anonym.legal die regte keuse is
anonym.legal oortref Caviard.ai wanneer:
- Jy benodig naleveringsgraad herroeping (92–98%) eerder as basiese patroonmatchering (60–75%)
- Jou span Firefox, Edge, Safari, of desktopaanwendings gebruik — nie slegs Chrome nie
- Jy verwerk meertalige inhoud: Duits, Frans, Arabies, Chinees, Hebreeus, of enige van 48 tale
- Jy benodig per-entiteit vertrouenswaardigheidsgrade en ouditspore vir HIPAA, GDPR, of e-discovery
- Jy benodig omkeerbare anonimisering — ontsleutel plekhoueers wanneer vereis deur wet
Gereelde Vrae
Wat is die verskil tussen regex-gebaseerde en NLP-gebaseerde PII-opsporing?
Regex-patrone pas vaste tekstrukture (bv. SSN-formaat). Hulle mis konteksafhanklike PII: name in sinne, ligging-entiteite, en enige patroon wat effens varieer. NLP-modelle verstaan taalmarkering — anonym.legal se 3-laag pyplying (Presidio + spaCy + XLM-RoBERTa) bereik 92–98% herroeping vs. 60–75% vir regex-alleenlik-gereedskap soos Caviard.ai.
Werk Caviard.ai in Firefox, Edge, of Safari?
Nee. Caviard.ai is 'n Chrome-uitbreiding en werk slegs in Chrome-gebaseerde blaaiers. anonym.legal werk in alle hoof-blaaiers via die webtoepassing, bied toewydings-Chrome- en Edge-uitbreidings, en sluit 'n alleenstaande Desktopaanwending vir Windows, macOS, en Linux in.
Watter veiligheidssertifiseringe het Caviard.ai?
Caviard.ai publiseer nie ISO 27001 of SOC 2-sertifiseringe nie. anonym.legal loop op Hetzner Germany-infrastruktuur met ISO 27001-sertifikering, GDPR-versoenbare dataverwerkingooreenkome, en zero-knowledge-verifikasie deur onafhanklike veiligheidsoudit.
Hoe hanteer anonym.legal meertalige PII wat Caviard.ai mis?
Regex-patrone misluk op nie-ASCII-karakters: Duitse omlawte (ä, ö, ü), Arabiese skrif, Chinese karakters, Hebreeuese letters. anonym.legal se NLP-modelle word opgelei op 48 tale en hanteer karakternormalisering, Unicode-grense, en taal-spesifieke ID-formate (Duitse Personalausweis, Franse NIR, Arabiese nasionale ID's, ens.).
Watter valse positiewe koerse kan ek verwag?
Caviard.ai se regex-benadering lewer 15–30% valse positiewe koerse — 'n vlag nie-PII-teks as sensitief. Dit skep onnodig redigeering van legitieme inhoud. anonym.legal se NLP-pyplying verminder valse positiewe tot minder as 5% deur kontekstuele begrip, vertrouensgraad-drempels, en per-entiteit oorskryf-kontroles.
Bied anonym.legal ouditspore vir nalewing?
Ja. Elke opsporing sluit die entiteitsoort, vertrouengraad, opsporingmetode (reël-ID of modelnaam), en tydstempel in — wat 'n verdedigbare ouditspoor vir HIPAA, GDPR, en e-discovery-vereistes skep. Caviard.ai bied nie per-opsporing ouditspore nie.
Enterprise NLP PII-Opsporing
92–98% herroeping. 48 tale. Alle blaaiers + Desktopaanwending. ISO 27001. Gratis om te begin.
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.