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Interactive Spreadsheet Inspector

CSV Viewer & Filter

Quickly inspect, search, sort, and paginate CSV and TSV spreadsheets directly inside your browser with 100% privacy.

Drop your CSV or TSV file here, or browse files

Supports database dumps, transactions, inventory lists, and customer exports

What is NexTools CSV Viewer & Table Inspector?

The NexTools CSV Viewer & Table Inspector is a lightning-fast browser application that opens, searches, and sorts Comma-Separated Values (CSV) and Tab-Separated Values (TSV) spreadsheets without requiring Microsoft Excel, LibreOffice, or Google Sheets. Built with client-side JavaScript, it parses tabular data directly within your browser, offering dynamic column sorting, instant text filtering, and filtered data exporting.

Key Capabilities & Features

Instant Interactive Search

Type any customer name, product ID, or zip code to instantly filter matching rows across all columns in real time.

Multi-Column Sorting

Click any column header to sort numbers, dates, or alphabetical strings in Ascending (▲) or Descending (▼) order.

100% Client-Side Privacy

Your financial ledgers, salary structures, and user databases never leave your computer. Parsing runs locally in browser memory.

Export Filtered Subsets

After applying search filters or column sorts, export just the filtered records into a brand new clean CSV with one click.

Step-by-Step: How to Inspect a CSV File

  1. Select File: Drag and drop any .csv or .tsv file into the drop zone.
  2. Browse & Paginate: View data neatly aligned into standard spreadsheet rows with pagination controls.
  3. Search & Sort: Use the search bar to locate specific terms or click headers to order columns.
  4. Export: Click Export Filtered CSV to save your refined records locally.

Frequently Asked Questions

Can I open files with semicolons or tabs?

Yes! The tool automatically senses the delimiter (comma, semicolon, tab, or pipe) from the first line and renders the columns accordingly.

Does it handle quoted fields containing commas?

Yes! Full RFC 4180 parsing is supported, ensuring values like "San Francisco, CA" stay in one unified cell.

Is there a row limitation?

Because it renders efficiently with virtual pagination (10 to 100 rows per page), it easily handles datasets with tens of thousands of rows smoothly.

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