Question 1

How do I open and compare multiple CSV files at once?

Accepted Answer

Drop several CSV or JSON files into the workspace and each opens as its own tab. Switch between them, search and filter any dataset, and join two together on a shared key column — all without leaving the page or uploading anything.

Question 2

How does joining two datasets work?

Accepted Answer

Pick two open datasets and the column they have in common (for example customer_id or email), and the workspace builds a combined table by matching rows on that key — like a SQL join, but entirely in your browser. You can then filter, sort, and export the joined result.

Question 3

Is my data uploaded anywhere?

Accepted Answer

No. Every file is parsed, joined, filtered, and exported entirely in your browser tab and never sent to a server. That makes the workspace safe for sensitive data such as PII, financial records, or health information.

Question 4

Can I mix CSV and JSON files in one workspace?

Accepted Answer

Yes. JSON arrays are flattened into a tabular view alongside your CSVs, so you can open, join, and compare CSV and JSON datasets together and export the result in either format.

Question 5

How large can the datasets be?

Accepted Answer

Comfortably up to roughly 50,000–100,000 rows per dataset on a typical laptop. Tables are virtualised so scrolling stays smooth; joins and filters run on the main thread, so very large files may briefly pause the UI while computing.

Drop your files here