Document Redaction

Clean a document before you share it.

Open a PDF, review what BeeSensible found, and redact it for good. Then share it or hand it to AI for analysis, with the names, IBANs and BSNs gone.

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app.beesensible.eu/documents

Het_Grote_PII-Dossier.pdfOpen another...BeeSensible Pro 130%4 / 23Draw box

Friday night - Emergency Department

It was pouring when the first ambulance pulled into the grounds of St. Catherine's Hospital on Maple Avenue 112 in Riverside at 19:42. Nurse Sophie Lambert, staff number MED-4471, wiped her hands and took a deep breath.

On the stretcher lay Michael Brennan, a 34-year-old plasterer. Born on March 11, 1992, living at Elm Street 47, Riverside. He gave a mobile number that Sophie quickly noted: +1 415 555 0148. His record number, 184629375, was already in the system.

Search detections

85 found · 85 selectedDeselect all

PERSON28

Sophie Lambert

Michael Brennan

Sophie

LOCATION21

St. Catherine's Hospital

Maple Avenue 112

Riverside

Elm Street 47

DATE14

March 11, 1992

PHONE8

+1 415 555 0148

MRN8

184629375

EMPLOYEE_ID6

MED-4471

85 items will be removedPreviewAnonymise (85)

PII is found automatically

Open a document and Bombus detects names, addresses, IBANs, BSNs and 65 data types without any setup. Everything found appears in the list on the right.

You decide what gets removed

Every item is selected by default. Uncheck anything that should stay in. When you confirm, only the selected items are permanently redacted from the file.

Draw a box for anything else

Logo, signature, or something the engine missed? Draw a box over it by hand and that area is masked too. Manual and automatic detections are redacted together.

Detection engine

Bombus, our best engine yet.

Since July 2026, Bombus 1.2 is the standard engine behind BeeSensible. A smart combination of fast AI techniques and hard rules, working as one judgement. It builds on Osmia 3.3, our earlier detection engine, and reads sharper: higher recall and stronger on structured data like IBANs and medical codes. It runs on your own device or in the EU, live while you type and across full documents.

65 data types8 categoriesEN + NLLocal or EU

See everything it detects →

How it works

Context · AI techniques Patterns · rules

One result

Clean before you send to AI

The safe way to let AI read a sensitive document.

AI is good at summarising and analysing documents, but a contract or a patient file should not go in as-is. Redact it on the device first, then upload the clean copy. The original details never reach the AI tool.

Review before anything is removed

BeeSensible finds names, IBANs, BSNs and dozens of other types across 65 data types, and groups them by category. Check the list, uncheck anything that should stay, and draw a box by hand over anything it missed.

Gone for good

Redaction is permanent. The values are removed from the file itself, and hidden document properties are stripped too, so nothing leaks through the metadata.

On your own device

On a local plan the document is processed on the machine itself. It never has to leave to be cleaned, which makes it safe to hand the clean copy to AI.

Use cases

Built for the documents you actually share.

Contracts and legal

Take names, case numbers and addresses out of a contract before it goes to a counterparty, or before a chatbot summarises it.

Patient and care files

Strip patient names, BSNs and medical details so a file can be analysed without exposing the person behind it.

HR and finance

Salary data, IBANs and employee IDs removed before a document leaves the team or gets pasted into an AI tool.

Redact your first document in a minute.

Open a PDF in the desktop app, review what is found, and produce a clean copy you can share.

Start free trial Request demo