Not every JSON file is a table. With v0.6, Unwrap can open profiles, settings, reports, and other JSON documents alongside the datasets in your export.
Read JSON as a document
JSON files without a table-shaped collection now open in a readable Document view. Follow sections through a table of contents, expand nested content, and reveal longer lists in steps. Large catalogs of complex objects offer a searchable picker so you can read one entry at a time.
When a file contains both datasets and other information, its document keeps the surrounding fields accessible and links to the recognized datasets.
Understand the structure
Documents now have Explore and Structure views. Explore focuses on reading the contents; Structure shows how objects and arrays fit together, including shared and differing fields in sampled records. Recognized datasets are linked from the structure too.
Move between parts of a file
The title navigation separates the source file from its contents. Switch between a file’s Document and datasets without losing their shared context, or follow a dataset’s origin back to the relevant section of the document.
Read nested values more clearly
Cards and tables show nested objects as labeled fields, making previews easier to read. Embedded lists and objects written in Python-style notation, common in CSV exports, are also recognized in more places.
JSON Lines and NDJSON files, HAR exports, and Jupyter notebooks are now accepted as JSON-based content. They use Unwrap’s document and dataset views.
Find the files inside your archive
Images and documents in the Files view can now expand into individual file listings, with more entries revealed in batches. The upload area also gives clearer feedback when dragging files into Unwrap.
— Unwrap