Data export guide
Understand what is inside a data export.
An export can be a ZIP full of technical filenames, tables, nested JSON, images, and documents. Start with its contents, not with a guess about which file matters.
Why a folder list is not enough
A personal data export may split one subject across several files. A conversation can contain nested messages; an order can have separate items and returns; images may sit beside JSON metadata. Unwrap keeps the original files visible while presenting the datasets and media it can recognize.
Three steps to a first overview
01
Open the source
Choose a supported file or ZIP archive. Keep the original package intact so its paths remain available.
02
Scan the workspace
Use Overview to find a starting point. Open Files to browse the archive’s contents and source paths.
03
Open what matters
Compare Cards, Table, Structure, or a media view. Follow nested collections when the useful data is inside a record.
From a collection back to its source
Overview highlights datasets and media worth exploring. Open Files to browse the original files and their source paths. From an open dataset, check its source filename, fields, and sample records before deciding where to go next.
If a file could not be opened, check its entry in Files and the details in Findings. See open a ZIP data export for more on navigating archives.
Common questions
Can I still see the original filenames?
Yes. Use Files to see the original filenames and source paths. An opened dataset also shows its source file.
What if a file does not open?
Check Files for the affected entry and Findings for details about import issues.
Will opening the export modify it?
No. The workspace is read-only; your source files remain unchanged.
Continue exploring
- Open a ZIP data export — go beyond the file list
- Explore a JSON file — inspect nested collections
- Explore an Excel export — understand workbook sheets
- CSV viewer — inspect a single table
Have an unfamiliar export?
Open it in Unwrap →