Supported File Formats
Mineflow's data ingestion system can process a wide range of file formats.
Format Support Overview
One of Mineflow's key advantages is our ability to process virtually any file format used in the mining and exploration industry. Our AI-powered ingestion system automatically detects file types, extracts relevant data, and organizes it appropriately.
Unlike other platforms that require specific file formats and rigid structures, Mineflow can work with your data in its original format, saving you countless hours of data preparation.
Built-in Dataframe Formats
Formats with inherent data structures that organize information into records, attributes, and relationships.
ESRI Shapefiles (.shp, .shx, .dbf, .prj) supporting points, lines, and polygons with attribute tables and spatial references. Can contain drill collar locations, geological boundaries, and more.
.xlsx, .xls files containing structured tabular data with multiple sheets. Commonly used for collar data, surveys, assays, and lithology logs.
Comma-separated value files with row-column structures. Universal format for all types of tabular data in exploration.
JSON-based format for encoding geographic data structures with attributes. Supports Point, LineString, Polygon, and their Multi- variants.
Self-describing, array-oriented scientific data format. Excellent for multidimensional data like geophysical grids and climate data.
.mdb and .accdb relational database files with tables, queries, and relationships. Common for comprehensive drill hole databases.
XML-based formats for geographic visualization in Google Earth, with support for styling, folders, and descriptions.
MapInfo TAB files (.tab, .dat, .map, .id) with integrated spatial and attribute data capabilities.