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.

Rudi kwa Vipengele

Ficha PII Ndani ya Picha

Vielelezo vya kisheria, hati za utambulisho zilizoskani, na picha za skrini za HR mara nyingi hubeba taarifa binafsi kama pikseli, si maandishi. Mfumo wetu wa uchakataji wa picha huendesha OCR, hugundua PII kwenye maandishi yaliyotolewa, na hufunika kila mfanano kwa sanduku jeusi.

Jaribu kwenye Programu ya Wavuti Rejeleo la API Programu ya Desktop

Jinsi Inavyofanya Kazi

Hatua tatu, zinazoendeshwa upande wa seva kwenye picha yako iliyopakiwa.

1. OCR

Tesseract hutoa safu ya maandishi kutoka kwenye PNG au JPG yako, ikiwa ni pamoja na nafasi yake kwenye ukurasa.

2. Ugunduzi

Maandishi yaliyotolewa hupitia kigunduzi kile kile cha PII kinachotumika kwa nyaraka, kikitambua majina, namba za vitambulisho, tarehe, na vyuo vingine pamoja na alama ya uhakika.

3. Ufichaji

Kila eneo lililogunduliwa hufunikwa kwa sanduku thabiti jeusi (ujazaji chaguo-msingi) moja kwa moja kwenye picha, na faili iliyofichwa hurejeshwa kwa upakuaji.

Mahali Hii Inasaidia

Hati yoyote iliyoskani au kupigwa picha ambapo PII zipo moja kwa moja kwenye picha.

Vielelezo vya Kisheria

Ficha majina, anwani, na namba za kesi kwenye vielelezo vilivyoskani na picha za ushahidi kabla ya kuwasilisha au kufungua kesi.

Hati za Utambulisho

Funika namba za pasipoti, leseni za udereva, na vitambulisho vya taifa kwenye hati za utambulisho zilizopigwa picha au kuskaniwa.

Skani za HR

Ficha taarifa binafsi kwenye fomu za wafanyakazi zilizoskani, karatasi za muda, na hati za kuingiza kazini kabla ya kushiriki au kuhifadhi.

Miundo Inayoungwa Mkono

Miundo miwili ya picha inaungwa mkono hivi sasa.

Inaungwa Mkono

PNG
JPG / JPEG

Bado Haijaungwa Mkono

• Picha za kurasa za PDF (tumia mfumo wa PDF kwa PDF zenye safu ya maandishi badala yake)
• Miundo mingine ya raster (mfano TIFF, BMP, WebP, GIF)

Mpango wa Basic na Zaidi

Ufichaji wa picha unahitaji mpango wa Basic au zaidi. Akaunti za mpango wa bure zinaweza kuficha maandishi lakini si picha; kuboresha hufungua upakiaji wa PNG/JPG hadi kikomo cha ukubwa wa faili cha mpango wako.

Angalia Mipango

Maswali Yanayoulizwa Mara kwa Mara

Ni miundo gani ya picha inayoungwa mkono na ufichaji wa picha?

PNG na JPG (JPEG). Miundo mingine ya raster kama TIFF, BMP, WebP, na GIF haiungwi mkono kwa sasa.

Je, ufichaji wa picha unahitaji mpango wa kulipia?

Ndiyo. Ufichaji wa picha unahitaji mpango wa Basic au zaidi. Mpango wa bure unaunga mkono uanonimishaji wa maandishi tu.

Inapataje PII ndani ya picha?

Picha hupitishwa kwenye OCR (Tesseract) kutoa safu yake ya maandishi na nafasi ya kila sehemu ya maandishi, kisha maandishi hayo huchambuliwa na kigunduzi kile kile cha PII kinachotumika kwa nyaraka. Maeneo yaliyogunduliwa hufunikwa kwa sanduku jeusi moja kwa moja kwenye picha.

Je, ufichaji unaweza kutenduliwa?

Hapana. Ufichaji wa picha hufunika eneo lililogunduliwa kwa sanduku jeusi lisilopenyeza moja kwa moja kwenye pikseli za picha — huu ni ufichaji wa mwelekeo mmoja, wa kuonekana, si usimbaji fiche unaoweza kutenduliwa kama unavyotoa kifaa cha kuanonimisha maandishi.

Ugunduzi unaotegemea OCR una usahihi kiasi gani kwenye skani?

Usahihi hutegemea ubora wa skani, mwonekano, na kama ni maandishi ya mkono au yaliyochapishwa. Skani za ubora duni na maandishi ya mkono hupunguza usahihi wa OCR, jambo linalopunguza kiwango cha kukamata ugunduzi — kagua matokeo yaliyofichwa kabla ya kuyategemea kwa nyaraka zenye hatari kubwa.

Ficha PII kwenye Picha Zako

Pakia PNG au JPG kwenye programu ya wavuti, au piga simu API moja kwa moja.

Jaribu Bure

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.