NetCDF Converter and Inspector
Understand a self-describing .nc dataset before flattening it. Inspect its scientific structure, then export exactly one variable with its coordinates and metadata.
NetCDF Inspector
See the file family, groups, dimensions, coordinate variables, shapes, data types, units, calendars, chunks, compression and bounded attributes without exporting values.
Inspect an NC file →NetCDF to CSV
Select one variable, its coordinate columns and index ranges. Review the estimated table shape before generating long-form or valid two-dimensional wide CSV.
Extract NetCDF data →Why inspection comes first
NetCDF arrays can have many dimensions and can expand dramatically when flattened. CSV does not carry masks, units, calendars, scale factors or hierarchy by itself. Convertr therefore shows the row mapping before extraction and supplies a JSON metadata sidecar with every CSV.
Designed for scientific datasets
Useful for climate, ocean, weather, environmental, GIS, academic and engineering data stored in NetCDF3 or NetCDF4/HDF5 containers.
Local and private processing
Files are processed ephemerally on Convertr workers. Remote OPeNDAP URLs and external dataset references are not accepted. Filenames, variables, attributes, coordinates and scientific values are not logged or sent to analytics.
Complete, deterministic output
Rows use stable C order, selected coordinate values are retained, and data is never downsampled or silently truncated to reduce workload.