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When you add a recognized scientific file, Dataerai reads it and extracts structured metadata — the settings and parameters recorded by the instrument. That metadata becomes searchable, so you can later find an asset by what’s inside it instead of remembering where you put it.

Supported formats

Dataerai currently extracts metadata from these formats: Other file types upload normally; they just don’t have extracted metadata. Support for more formats is added over time.

Review before you upload

When you add a recognized file in the upload panel, Dataerai shows a metadata preview before the upload starts:
Dataerai upload metadata preview showing extracted fields for a recognized file

A recognized file's metadata preview in the upload panel — extracted fields, the detected type, and an Attach toggle.

  • See the extracted fields, grouped to match the instrument (for example, XRD shows X-ray source, Geometry, and Scan).
  • Switch between Structured, Tree, and JSON views of the same metadata.
  • Edit any value inline, or edit the raw JSON directly.
  • Use the Attach to upload toggle to decide whether the extracted metadata is saved with the asset.
Dataerai also classifies the data type of the file (for example, a tapping-mode AFM scan or an XRD rocking curve) to help with organization and search. The detected data type appears on the asset’s Metadata tab once the upload finishes.
Very large files (over about 100 MB) skip the in-dialog preview, but their metadata is still extracted automatically after the upload finishes.

Run extraction later

If a file uploaded before extraction was available, or a previous attempt failed, open the asset’s Metadata tab. It shows the current Extraction status and the detected Data type, and offers an Extract metadata action to run extraction on the latest content.
Dataerai asset Metadata tab with extraction status, data type, the Extract metadata action, and structured-field tree

An asset's Metadata tab — extraction status, the detected data type, the Extract metadata action, and results as a structured-field tree.

Validation issues

For some formats, the preview checks the extracted values and lists any validation issues so you can catch a bad file early. Each issue is marked as an error, a warning, or info — for example, an XRD scan with an unusually low tube voltage, zero current, or a missing anode material.

It’s searchable

Extracted metadata is available to search alongside the metadata you add yourself, so you can filter assets by instrument settings and other captured fields.

Next steps

Upload in the browser

Add files and review their extracted metadata.

Search & discover

Find assets by metadata, tags, and more.

Extract it yourself

Run the same extraction in Python with dataerai-sdk[metaextract].