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.

Kembali ke Ciri-ciri

Redak PII di Dalam Imej

Ekshibit undang-undang, dokumen pengenalan yang diimbas, dan tangkapan skrin HR sering membawa data peribadi sebagai piksel, bukan teks. Saluran pemprosesan imej kami menjalankan OCR, mengesan PII dalam teks yang diekstrak, dan menutup setiap padanan dengan kotak hitam.

Cuba dalam Aplikasi Web Rujukan API Aplikasi Desktop

Cara Ia Berfungsi

Tiga langkah, dijalankan di sisi pelayan pada imej yang anda muat naik.

1. OCR

Tesseract mengekstrak lapisan teks daripada PNG atau JPG anda, termasuk kedudukannya pada halaman.

2. Kesan

Teks yang diekstrak dijalankan melalui pengesan PII yang sama seperti digunakan untuk dokumen, mengesan nama, nombor ID, tarikh, dan entiti lain dengan skor keyakinan.

3. Redak

Setiap kawasan yang dikesan ditutup dengan kotak hitam pekat (isian lalai) terus di atas imej, dan fail yang diredak dikembalikan untuk dimuat turun.

Di Mana Ini Membantu

Mana-mana dokumen yang diimbas atau difoto di mana PII terletak dalam imej itu sendiri.

Ekshibit Undang-Undang

Redak nama, alamat, dan nombor kes pada ekshibit yang diimbas dan foto keterangan sebelum penghasilan atau pemfailan.

Dokumen Pengenalan

Tutup nombor pasport, lesen memandu, dan nombor pengenalan negara pada dokumen identiti yang difoto atau diimbas.

Imbasan HR

Redak data peribadi pada borang pekerja, lembaran masa, dan dokumen onboarding yang diimbas sebelum dikongsi atau diarkibkan.

Format Disokong

Dua format imej disokong pada masa ini.

Disokong

PNG
JPG / JPEG

Belum Disokong

• Imej halaman PDF (gunakan saluran PDF untuk PDF berlapisan teks sebaliknya)
• Format raster lain (contohnya TIFF, BMP, WebP, GIF)

Pelan Basic ke Atas

Redaksi imej memerlukan pelan Basic atau lebih tinggi. Akaun pelan percuma boleh menganonimkan teks tetapi bukan imej; menaik taraf membuka muat naik PNG/JPG mengikut had saiz fail pelan anda.

Lihat Pelan

Soalan Lazim

Format imej apa yang disokong oleh redaksi imej?

PNG dan JPG (JPEG). Format raster lain seperti TIFF, BMP, WebP, dan GIF tidak disokong pada masa ini.

Adakah redaksi imej memerlukan pelan berbayar?

Ya. Redaksi imej memerlukan pelan Basic atau lebih tinggi. Pelan percuma hanya menyokong penganoniman teks.

Bagaimana ia mengesan PII di dalam imej?

Imej dijalankan melalui OCR (Tesseract) untuk mengekstrak lapisan teksnya dan kedudukan setiap teks, kemudian teks itu dianalisis oleh pengesan PII yang sama seperti digunakan untuk dokumen. Kawasan yang dikesan ditutup dengan kotak hitam pada imej itu sendiri.

Adakah redaksi ini boleh dibalikkan?

Tidak. Redaksi imej menutup kawasan yang dikesan dengan kotak hitam legap terus di atas piksel imej — ini adalah redaksi visual sehala, bukan penyulitan boleh balik seperti yang ditawarkan oleh penganonim teks.

Sejauh mana tepatnya pengesanan berasaskan OCR pada imbasan?

Ketepatan bergantung pada kualiti imbasan, resolusi, dan tulisan tangan berbanding cetakan. Imbasan berkualiti rendah dan teks tulisan tangan menurunkan ketepatan OCR, yang menurunkan ingatan pengesanan — semak output yang diredak sebelum bergantung padanya untuk dokumen bertaruhan tinggi.

Redak PII dalam Imej Anda

Muat naik PNG atau JPG dalam aplikasi web, atau panggil API secara langsung.

Cuba Secara Percuma

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.