Audit every sensitive action.
Every interaction with sensitive material becomes an attributable, auditable event.
A secure, auditable vault for sensitive documents — designed to turn protected evidence into the minimum operational signal an authorised team needs to act.
Independent document systemEncrypted evidenceControlled processingAudit trail
The brief was to build an independent system for receiving and managing highly sensitive documents. The existing workflow could move information, but it could not provide the control, privacy, or accountability this kind of material requires.
Every interaction with sensitive material becomes an attributable, auditable event.
A request is confirmed before commit, leaving a durable handling record.
Each stored record has a distinct key, and every transfer stays encrypted.
OCR and QR detection run in controlled infrastructure; outputs and logs stay inside.
From encrypted intake to durable commit, controlled processing, and expiry, each stage preserves the boundary.
Protection persists across every stage.
A document is protected before it enters the system.
At commit, it is re-encrypted under its own stored-record key.
Document processing runs without sending sensitive material outside the system.
Temporary intake copies are removed once their purpose is complete.
Access is an authorised action, not a background permission.
An authorised person requests access to protected material.
The action is confirmed before material is made available.
The approved action and actor become part of the audit trail.
Access is a sensitive operation. So it leaves a trace.
QR detection and OCR each see documents differently. Together, they create a bounded operational signal without exporting sensitive material.
Protected evidence stays within the system.
It is made available only to the controlled processing system.
Independent processing paths
OpenCV applies contrast enhancement, denoising, scaling, and multiple detection paths within a time budget.
Signals are evaluated as evidence tiers, not an identity claim.
Grayscale, contrast, and threshold normalisation passes are paired with reading modes and ranked for usable structure.
Minimum necessary output
The authorised workflow receives the status needed to act. Extracted fields—such as a name, date, and reference value—remain protected inside the system.
Raw document contents stay in the vault. Authorised teams receive only the minimum status needed to identify a submission that needs attention and follow up appropriately.
This keeps operational work moving without turning the wider stack into another store of sensitive evidence.
Minimum necessary signal
Submission needs follow-up
QR-based number identification failed
OCR number detection passed; checksum failed
Teams can use the status to request a new upload or begin another approved follow-up, without copying sensitive evidence into the wider operational stack.
Each layer is chosen to make sensitive-document handling inspectable, controlled, and maintainable.
The application, data, storage, Durable Objects, workflows, queues, and containerised processing are defined and deployed as one coordinated system.
Admin and operations interface.
Separated transient and durable object storage.
Transactional records and bounded operational state.
Durable processing, retries, state, and expiry handling.
Controlled Python service boundary for document analysis.
QR detection and OCR without exporting documents.
Whether you are exploring an idea or improving a system already in use, we’ll help you decide what is worth doing next.
Questions before you book?
Read the FAQFollow along