Which image formats does image redaction support?

PNG and JPG (JPEG). Other raster formats such as TIFF, BMP, WebP, and GIF are not currently supported.

Does image redaction require a paid plan?

Yes. Image redaction requires a Basic plan or higher. The free plan supports text anonymization only.

How does it find PII inside an image?

The image is run through OCR (Tesseract) to extract its text layer and each piece of text's position, then that text is analyzed by the same PII detector used for documents. Detected regions are covered with a black box on the image itself.

Is the redaction reversible?

No. Image redaction covers the detected region with an opaque black box directly on the image pixels — this is a one-way, visual redaction, not a reversible encryption like the text anonymizer offers.

How accurate is OCR-based detection on scans?

Accuracy depends on scan quality, resolution, and handwriting versus print. Low-quality scans and handwritten text lower OCR accuracy, which lowers detection recall — review redacted output before relying on it for high-stakes documents.

Nazaj na funkcije

Prikrijte PII znotraj slik

Sodni dokazi, skenirani osebni dokumenti in posnetki zaslona iz kadrovske službe pogosto vsebujejo osebne podatke kot slikovne pike, ne kot besedilo. Naš cevovod za obdelavo slik izvede OCR, zazna PII v izluščenem besedilu in vsako ujemanje prekrije s črnim poljem.

Preizkusite v spletni aplikaciji Referenca API Namizna aplikacija

Kako deluje

Trije koraki, izvedeni na strežniku nad naloženo sliko.

1. OCR

Tesseract izlušči besedilno plast iz vaše slike PNG ali JPG, vključno z njenim položajem na strani.

2. Zaznavanje

Izluščeno besedilo gre skozi isti detektor PII, ki se uporablja za dokumente, in poišče imena, identifikacijske številke, datume in druge entitete z oceno zanesljivosti.

3. Prikrivanje

Vsako zaznano območje se prekrije s polnim črnim poljem (privzeto polnilo) neposredno na sliki, prikrita datoteka pa se vrne za prenos.

Kje to pomaga

Vsak skeniran ali fotografiran dokument, pri katerem se PII nahajajo neposredno na sliki.

Sodni dokazi

Prikrijte imena, naslove in številke zadev na skeniranih dokazih in fotografijah pred predložitvijo ali vložitvijo.

Osebni dokumenti

Prekrijte številke potnih listov, vozniških dovoljenj in osebnih izkaznic na fotografiranih ali skeniranih osebnih dokumentih.

Kadrovski skenirani dokumenti

Prikrijte osebne podatke na skeniranih obrazcih zaposlenih, evidencah delovnega časa in dokumentih za uvajanje pred deljenjem ali arhiviranjem.

Podprti formati

Trenutno sta podprta dva formata slik.

Podprto

PNG
JPG / JPEG

Še ni podprto

• Slike strani PDF (namesto tega uporabite cevovod PDF za PDF-je z besedilno plastjo)
• Drugi rastrski formati (npr. TIFF, BMP, WebP, GIF)

Načrt Basic in višji

Prikrivanje na slikah zahteva načrt Basic ali višji. Računi na brezplačnem načrtu lahko anonimizirajo besedilo, ne pa tudi slik; nadgradnja odklene nalaganje PNG/JPG do omejitve velikosti datoteke vašega načrta.

Ogled načrtov

Pogosta vprašanja

Katere formate slik podpira prikrivanje na slikah?

PNG in JPG (JPEG). Drugi rastrski formati, kot so TIFF, BMP, WebP in GIF, trenutno niso podprti.

Ali prikrivanje na slikah zahteva plačljiv načrt?

Da. Prikrivanje na slikah zahteva načrt Basic ali višji. Brezplačni načrt podpira samo anonimizacijo besedila.

Kako najde PII znotraj slike?

Slika gre skozi OCR (Tesseract), da se izlušči njena besedilna plast in položaj vsakega dela besedila, nato pa to besedilo analizira isti detektor PII, ki se uporablja za dokumente. Zaznana območja se prekrijejo s črnim poljem neposredno na sliki.

Ali je prikrivanje mogoče razveljaviti?

Ne. Prikrivanje na slikah prekrije zaznano območje z neprosojnim črnim poljem neposredno na slikovnih pikah slike — gre za enosmerno, vizualno prikrivanje, ne za povratno šifriranje, kakršno ponuja anonimizator besedila.

Kako natančno je zaznavanje na podlagi OCR pri skeniranih dokumentih?

Natančnost je odvisna od kakovosti skena, ločljivosti ter tega, ali gre za ročno pisavo ali tiskano besedilo. Nizka kakovost skena in ročno pisano besedilo zmanjšata natančnost OCR, kar zmanjša priklic zaznavanja — preverite prikrit rezultat, preden se nanj zanesete pri dokumentih z visokim tveganjem.

Prikrijte PII na svojih slikah

Naložite PNG ali JPG v spletni aplikaciji ali pokličite API neposredno.

Preizkusite brezplačno

Limitations / Important note

OCR-based text extraction is probabilistic; low-quality scans and handwriting lower detection recall.
Redaction is a visual, one-way black box over the detected region — not reversible encryption.
This page is informational and is not legal advice.

How we measure — our methodology

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.

We follow these rules

GDPR (EU 2016/679).
ISO/IEC 27001:2022, held by our hosting provider.
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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds 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

Automated checks run on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We test detection against sample documents before each release.

A failing unit or integration run stops the release.

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.

Paid plans can buy top-up credits.

Credits reset at the end of each cycle.

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.