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.

Tilbage til Funktioner

Skjul PII inde i billeder

Juridiske bilag, scannede ID-dokumenter og HR-skærmbilleder indeholder ofte personoplysninger som pixels, ikke tekst. Vores billedpipeline kører OCR, detekterer PII i den udtrukne tekst og dækker hvert match med en sort boks.

Prøv i Web-appen API-reference Desktop-app

Sådan Fungerer Det

Tre trin, kørt server-side på dit uploadede billede.

1. OCR

Tesseract udtrækker tekstlaget fra din PNG eller JPG, inklusive dets placering på siden.

2. Detektér

Den udtrukne tekst køres gennem den samme PII-detektor, der bruges til dokumenter, og finder navne, ID-numre, datoer og andre enheder med en tillidsscore.

3. Skjul

Hvert detekteret område dækkes med en massiv sort boks (standardudfyldningen) direkte på billedet, og den redigerede fil returneres til download.

Hvor Dette Hjælper

Ethvert scannet eller fotograferet dokument, hvor PII sidder i selve billedet.

Juridiske Bilag

Skjul navne, adresser og sagsnumre på scannede bilag og bevisfotos før fremlæggelse eller indgivelse.

ID-dokumenter

Dæk pas-, kørekort- og nationale ID-numre på fotograferede eller scannede identitetsdokumenter.

HR-scanninger

Skjul personoplysninger på scannede medarbejderformularer, timesedler og onboarding-papirer før deling eller arkivering.

Understøttede Formater

To billedformater understøttes i dag.

Understøttet

PNG
JPG / JPEG

Endnu Ikke Understøttet

• PDF-sidebilleder (brug PDF-pipelinen til PDF'er med tekstlag i stedet)
• Andre rasterformater (f.eks. TIFF, BMP, WebP, GIF)

Basic-plan og opefter

Billedredigering kræver en Basic-plan eller højere. Gratis-plan-konti kan anonymisere tekst, men ikke billeder; opgradering låser op for PNG/JPG-uploads op til din plans filstørrelsesgrænse.

Se Priser

Ofte Stillede Spørgsmål

Hvilke billedformater understøtter billedredigering?

PNG og JPG (JPEG). Andre rasterformater som TIFF, BMP, WebP og GIF understøttes ikke i øjeblikket.

Kræver billedredigering en betalt plan?

Ja. Billedredigering kræver en Basic-plan eller højere. Den gratis plan understøtter kun tekstanonymisering.

Hvordan finder det PII inde i et billede?

Billedet køres gennem OCR (Tesseract) for at udtrække tekstlaget og hver tekstdels placering, hvorefter denne tekst analyseres af den samme PII-detektor, der bruges til dokumenter. Detekterede områder dækkes med en sort boks direkte på billedet.

Er redigeringen reversibel?

Nej. Billedredigering dækker det detekterede område med en uigennemsigtig sort boks direkte på billedets pixels — dette er en envejs, visuel redigering, ikke en reversibel kryptering som tekstanonymisatoren tilbyder.

Hvor præcis er OCR-baseret detektion på scanninger?

Nøjagtigheden afhænger af scanningskvalitet, opløsning og håndskrift versus tryk. Scanninger af lav kvalitet og håndskrevet tekst sænker OCR-nøjagtigheden, hvilket sænker detektionens genkaldelse — gennemgå det redigerede output, før du stoler på det til dokumenter med høj risiko.

Skjul PII i Dine Billeder

Upload en PNG eller JPG i web-appen, eller kald API'et direkte.

Prøv Det Gratis

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.