HDF5 Viewer

Open a local .h5 or .hdf5 file to understand its hierarchy and storage metadata. File contents and object names never enter analytics.

General HDF5, not assumed NetCDF

Groups, arbitrary datasets, links, attributes and HDF5 datatypes are interpreted directly with h5py.

Compound, array, complex, binary, opaque and reference values use explicit JSON strings. Fill matches are marked in a separate field.

Extraction streams every selected cell. If a filter is unavailable or the complete output cannot fit, the request fails clearly.

Inspect HDF5 groups, datasets, shapes, types, attributes, and bounded data previews.

Input: One supported .h5 or .hdf5 file.
Output: A hierarchy view plus selected dataset previews or exports.
Real limitations: Compressed filters, custom types, very large datasets, and features unsupported by the installed HDF5 runtime may not be readable.
Privacy and data handling: one supported .h5 or .hdf5 file is uploaded to a compatible Convertr worker only after you start the operation. Processing is automated, and temporary source and result files are deleted automatically after processing rather than retained as permanent storage.

Choose one supported .h5 or .hdf5 file and wait for the page to validate it.
Set the available output or inspection options, then start processing.
Review the reported result and download a hierarchy view plus selected dataset previews or exports before the temporary link expires.

A corrupt superblock, unsupported filter, invalid dataset selection, or encrypted container produces an inspection error.

Open measurements.h5, select /sensors/temperature, and export that dataset to CSV.