Solutions · Structure
Decades of records, made structured and searchable.
Most organisations sit on archives that are valuable and unusable in equal measure: paper files, scanned bundles, and formats no current system reads. The data is there. Getting at it has meant either slow manual entry or sending the archive to a service that processes it elsewhere.
The problem
The archive holds the answers and resists every shortcut.
Legacy records are inconsistent, often handwritten, and rarely structured. Manual digitisation is accurate and prohibitively slow. The cloud alternative is faster and carries the familiar cost: the entire archive, much of it sensitive, leaves your control.
For records covering patients, clients, or citizens, that is not a trade worth making. The work needs the speed of automation and the containment of an on-premise system — not one or the other.
Our solution
Extract on-site, validate as you go, keep the provenance.
Electric Azimuth reads your archive on your hardware and maps it to the schema you specify. Confidence scores and validation rules route uncertain values to a reviewer, and every structured record links back to its source page. You end with a clean, searchable dataset — and the archive never leaves the building.
Key features
Reads the unreadable
Scanned forms, handwritten notes, and legacy formats become structured fields on your own hardware.
Schema you define
Output maps to the data model you actually use, so the result drops into existing systems.
Confidence scoring
Each extracted value carries a confidence score, directing human review to where it is needed.
Validation rules
Built-in checks catch impossible dates, malformed identifiers, and inconsistencies before they propagate.
Provenance kept
Every structured record links back to its source page, so the original is always one click away.
Processed in place
Decades of records are digitised inside your network. Nothing is shipped to a third party.
Use cases
Where it earns its place.
Convert paper and legacy clinical records into structured data without patient information leaving the trust.
Extract structured matter and client data from archived files to support migration and search.
Digitise historic case files and registers under your own governance and retention rules.
Turn decades of test results and specifications into a searchable, structured dataset on-premise.
Technical overview
Specifics for the people who will run it.
- Input
- Scanned images, PDFs, microfiche exports, and structured and semi-structured legacy formats.
- Output
- Structured records — CSV, JSON, or direct to your database — mapped to your schema.
- Handwriting
- Handwritten and mixed documents supported, with confidence-led human review.
- Deployment
- Server or cluster sized to archive volume; on-site for physical scanning workflows.
- Validation
- Configurable rules and confidence thresholds route uncertain values to reviewers.
- Connectivity
- None required. Extraction runs entirely within your boundary.
Prove it on a sample of the archive.
A scoped pilot extracts a defined batch of records and reports on accuracy, structure, and the effort saved against manual entry.