Compare CSV Files Online
Paste two CSV files. See added rows, removed rows, and value changes — line by line with word-level highlights.
🔒 100% private — runs entirely in your browseror try sample data
Paste two CSV files. See added rows, removed rows, and value changes — line by line with word-level highlights.
🔒 100% private — runs entirely in your browseror try sample data
Compare CSV Files shows you exactly what changed between two CSV datasets with a clear, side-by-side visual diff. Every added row, removed row, and modified cell value is color-coded and highlighted at the word level, making it easy to review data changes from spreadsheet exports, database dumps, reporting systems, and ETL pipelines.
CSV is the simplest and most universal data exchange format. Databases export query results as CSV, spreadsheet applications save data as CSV, analytics tools import and export CSV, and data pipelines use CSV as an intermediate format. When datasets change — whether through manual edits, automated processes, or data migrations — you need to know exactly which rows were added, which were removed, and which values changed. Scanning thousands of rows by eye is impractical.
Paste your CSV data from any source — Excel exports, database query output, data pipeline results, or text files. The tool compares line by line and highlights changes at the word level so you can quickly spot modified cell values. Use "Ignore whitespace" to skip formatting differences, or "Ignore case" for case-insensitive comparison. Everything runs in your browser, keeping your data private and secure.
# Monthly HR export — January
id,name,department,salary,status
1001,Alice Johnson,Engineering,95000,active
1002,Bob Smith,Marketing,78000,active
1003,Carol Williams,Engineering,102000,active
1004,David Brown,Sales,85000,active # Monthly HR export — February
id,name,department,salary,status
1001,Alice Johnson,Engineering,105000,active # salary raise
1002,Bob Smith,Product,82000,active # department change
1003,Carol Williams,Engineering,102000,active
1004,David Brown,Sales,85000,inactive # status change
1005,Eva Martinez,HR,72000,active # new hireMonthly data export diffs reveal salary changes, department transfers, status updates, and new hires at a glance — useful for audit trails and change logs.
# Pre-migration export
product_id,name,price,category,in_stock
P001,Widget A,19.99,Hardware,true
P002,Widget B,24.99,Hardware,true
P003,Gadget X,149.99,Electronics,false
P004,Gadget Y,199.99,Electronics,true # Post-migration export
product_id,name,price,category,in_stock
P001,Widget A,19.99,Hardware,true
P002,Widget B,24.99,Hardware,true
P003,Gadget X,149.99,Electronics,false
P004,Gadget Y,199.99,Electronics,true # If the diff shows zero changes, migration preserved data integrityComparing CSV exports before and after a database migration is a quick way to verify that no data was lost or corrupted during the process.
# catalog_v1.csv
sku,product,price,discount,available
SKU-001,Laptop Pro 15,1299.00,0,yes
SKU-002,Wireless Mouse,29.99,0,yes
SKU-003,USB-C Hub,49.99,10,yes
SKU-004,Monitor 27",399.99,0,no # catalog_v2.csv — price adjustments and stock updates
sku,product,price,discount,available
SKU-001,Laptop Pro 15,1199.00,10,yes # price drop + discount
SKU-002,Wireless Mouse,34.99,0,yes # price increase
SKU-003,USB-C Hub,49.99,0,yes # discount removed
SKU-004,Monitor 27",399.99,0,yes # back in stock
SKU-005,Webcam HD,79.99,15,yes # new productProduct catalog diffs show price changes, discount updates, stock status changes, and new product additions — critical for e-commerce auditing.
CSV files are compared line by line. If the same data is present in both files but rows are in a different order (for example, sorted by a different column), every reordered row will appear as removed and re-added. Sort both files by the same column before comparing for the most accurate diff.
CSV fields containing commas, quotes, or newlines must be quoted. Different tools may quote fields differently — some quote all fields, others quote only when necessary. Alice and "Alice" are the same value but will appear as a text difference. Normalize quoting before comparing if this causes false positives.
If column headers are renamed or reordered between files, the header row itself will show as changed, and every data row may also show modifications because the column positions shifted. Ensure both files have the same column headers in the same order for meaningful row-by-row comparison.
Paste your CSV data into the two input panels and click Compare. The tool shows a side-by-side diff with line-by-line comparison, highlighting added rows, removed rows, and changed cell values at the word level.
The tool compares CSV as text, so any delimiter works — commas, semicolons, tabs, or pipes. As long as both files use the same delimiter, the diff will accurately highlight differences. If files use different delimiters, normalize them first.
Yes. Export your spreadsheets as CSV first (File > Save As > CSV in Excel, Google Sheets, or LibreOffice Calc), then paste the CSV content into the tool. This works for any spreadsheet application that supports CSV export.
Yes. This tool runs entirely in your browser using client-side JavaScript. Your CSV data — including employee records, financial data, or customer information — is never sent to any server.
The tool compares text line by line, so different column orders will show as modifications on every row. Reorder the columns in one file to match the other before comparing for the most useful and accurate diff output.
The tool handles CSV data up to 5 MB. For larger files, consider splitting them into smaller chunks or extracting specific rows/columns first. Command-line tools like diff, csvdiff, or pandas are better suited for files with millions of rows.