CAD Spatial Metadata Extraction

CAD Spatial Metadata Extraction uses automated .NET pipelines to extract spatial metadata from CAD drawings and make it searchable. It turns drawing data into structured, queryable information.

Highlights

• Spatial metadata extraction from CAD drawings
• Searchable metadata
• Built with .NET, MongoDB, Elasticsearch and Python

The project belongs to the Backend and Data group, is part of a data pipeline, and is marked as completed. It shows how CAD metadata can be prepared for fast search across large drawing collections.

What this project proves

Automated extraction of structured data from unstructured CAD drawings at Tiemech, made searchable with Elasticsearch: a document-to-data pipeline, the same pattern used in AI ingestion today.