AI Georeferencing for
Legacy Survey Documents
LandGazette uses artificial intelligence to extract parcel boundaries and geographic identifiers from scanned paper surveys, field notes, and historical gazette records — turning decades of analogue documents into modern GIS-ready data.
How It Works
From Paper Document to GIS Layer in Minutes
Upload Documents
Upload scanned PDFs, images, or batch-submit historical survey archives. Supports multi-page documents and handwritten field notes.
AI Processing Pipeline
Our OCR and spatial intelligence pipeline extracts legal descriptions, bearings, distances, PIDs, and place name references.
GIS-Ready Output
Receive georeferenced parcel polygons in GeoJSON, Shapefile, or KML format, ready to import into MunicipalGIS or your existing platform.
Features
Purpose-Built for Canadian Land Records
OCR + Spatial Intelligence
Combined optical character recognition and spatial reasoning extracts bearings, distances, and legal descriptions even from degraded documents.
Metes & Bounds Parser
Understands traditional metes and bounds legal descriptions used throughout Atlantic Canada, converting them to precise polygon geometries.
Batch Processing
Submit hundreds of documents simultaneously. The processing queue handles large municipal archives without manual intervention.
Confidence Scoring
Every extracted parcel includes a confidence score. Low-confidence results are flagged for human review before being committed to your GIS.
MunicipalGIS Integration
Direct integration with the MunicipalGIS platform. Georeferenced parcels publish directly to your hosted GIS layers.
Multiple Output Formats
Export to GeoJSON, Shapefile (.shp), KML, GeoPackage, or direct WFS push. Compatible with ESRI, QGIS, and all standard GIS platforms.