CSV Viewer
Open, filter, sort, hide columns, and export CSV or TSV data locally
About this tool
CSV Viewer turns pasted text or a local CSV/TSV file into an interactive table without uploading it. Papa Parse handles quoted cells, embedded line breaks, escaped quotes, and automatic delimiter detection. You can search across all columns, sort a column in either direction, hide fields from the working view, and export the full filtered and sorted result. Rendering is capped at 500 visible rows for responsiveness, while export includes every matching row up to the 10,000-row processing limit. The first parsed row is treated as the header.
Scenario Recipes
Review a support export before analysis
Goal: Remove irrelevant rows and columns without changing the source file
- Open the CSV export and confirm delimiter, header, row count, and key identifiers.
- Filter for the incident or customer segment, sort by the comparison field, and hide unrelated columns.
- Export the working result and keep the original file unchanged for traceability.
Result: A smaller review dataset that preserves the selected row order and visible fields.
Frequently Asked Questions
Which delimiters can the viewer handle?
Automatic detection covers common CSV forms, and you can force comma, tab, semicolon, or pipe delimiters.
Does it support quoted commas and multiline cells?
Yes. Papa Parse handles quoted delimiters, escaped quotes, and line breaks contained inside quoted fields.
How many rows can I inspect?
The tool accepts up to 10,000 parsed data rows and renders the first 500 matching rows to keep interaction responsive.
Does export include hidden columns?
No. Export uses the currently visible columns and includes all filtered rows in the selected sort order.
Can the viewer preserve original numeric types?
The viewer treats cell values as display strings so identifiers, leading zeros, and source spelling remain visible.
Is the CSV file uploaded?
No. Reading, parsing, filtering, sorting, and export generation happen in your browser.
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