Changelog

Filter high-cardinality columns like name or email by typing a substring. For numeric columns like salary or score, set a min/max range — csvdiff auto-detects numeric columns and switches to range mode.

Find rows with empty cells in any column. The blank entry now appears as a regular checkbox row at the top of the value list — consistent with the rest of the filter UI.

The Review & Export sheet is now available in the diff tool. Preview resolved rows, toggle columns, and exclude rows before downloading the merged CSV.

Click any column header in the viewer to see inline stats: unique count, blank count, min, max, and average for numeric columns — all computed client-side.

Use natural language to query your CSV. Ask "show rows where salary > 100k" or "which department has the most employees" and get instant answers — powered by your own API key, no data leaves the browser.

Group rows by department
→ Average salary per group
→ Sort descending

Full dark mode across the diff tool, viewer, and blog — respects system preference and can be toggled manually.

Highlight cells based on rules: heatmap by value, category colors, above average, empty cells, or duplicates. Rules persist to export.

Fill empty cells from the cell above — useful for pivot-style exports where groups repeat only in the first row.

Format numeric columns as currency, percentage, or with custom decimal places. Format date columns to any locale. AI can suggest the right format for your column.

Select values in a column filter and replace all matching cells in one click. Preview affected cells before applying.

Compare two CSV or JSON files side by side. Match rows by key column, filter to changed rows, resolve per-cell conflicts, and export a merged file. 100% client-side.

Open a single CSV or JSON file as a clean paginated table. Search, sort, pin columns, hide columns, and export. No upload, no account.