Tabular
User Guide
Tabular — Clean up JSON and CSV tables
Turn JSON or CSV into an editable table, adjust rows and columns, then export clean data.
Scenarios
Designed to convert tabular reports between JSON and CSV formats and use a table interface to sort, filter, modify rows or columns, and perform batch data cleansing.
How to Use
- Upload a CSV file or paste a JSON array.
- The editor generates an interactive data grid (table) for visual manipulation.
- Edit cells, add/remove columns, or insert rows like a spreadsheet by double-clicking or right-clicking.
- Filter or sort by columns to clean up key rows.
- Download the clean dataset as a CSV or JSON file.
Privacy Policy
Data parsing and cell updates are resolved locally, keeping client lists, finance spreadsheets, and key charts safe from cloud breaches.
Frequently Asked Questions
Q: Does it support importing large CSV files?
A: Yes. Utilizing a high-performance streaming parser, Tabular handles datasets with tens of thousands of rows smoothly inside the browser without freezing the tab.
Q: Will the exported CSV have encoding issues in Excel?
A: We export CSVs using standard UTF-8. If Excel displays scrambled characters, try importing the file as a UTF-8 source in Excel or use the UTF-8 with BOM option.
Q: How do I rename or delete columns?
A: Double-click any header cell to rename it on the fly, or right-click column elements to insert or remove entire columns.