CSV Transpose Free
Flip CSV rows and columns instantly. What was a row becomes a column and vice versa. Choose the output delimiter, preview the transposed result in a table, copy or download. Perfect for reformatting wide exports into tall format for analysis. Runs entirely in your browser.
CSV Input
Transposed Result
Preview shows up to 15 columns of the transposed result
Pro — wide-to-long (melt), long-to-wide (pivot), batch transpose, API access
API access · Priority queue · Team workspace
How It Works
Paste Your CSV
Paste your CSV data in the input panel. Click Sample CSV to load a monthly metrics table — metrics as rows (Revenue, Expenses, Profit) and months as columns (Jan, Feb, Mar, Apr, May, Jun). After transposing, months become rows and metrics become columns — a common reformatting needed for charting tools, pivot tables, and reporting systems that expect time-series data in a different orientation.
Choose Options
Select the input delimiter (auto-detect chooses the most likely one) and the output delimiter for the transposed CSV (can be different from the input). Enable "Quote all fields" to wrap every cell value in double-quotes in the output — useful when transposing data that contains the delimiter character inside cell values, or when the receiving system requires fully quoted CSV.
Preview & Download
Click Transpose to flip the data. The result appears in a preview table — what were rows are now columns, and what were columns are now rows. The stats bar confirms the new dimensions (rows × columns). Copy the transposed CSV to clipboard or download as a .csv file. The output is a valid RFC 4180 CSV file ready to import into Excel, Google Sheets, or any data tool.
CSV Transpose Features
Fast matrix flip with delimiter flexibility and RFC 4180 compliant output
True Matrix Transpose
Every cell at position [row, col] in the input becomes position [col, row] in the output — a true mathematical matrix transpose. A CSV with 5 rows and 12 columns becomes a CSV with 12 rows and 5 columns. All cell values are preserved exactly. The first row (headers) becomes the first column of the transposed output, and the first column becomes the header row.
Auto-Detect Input Delimiter
The auto-detect option analyzes the first line of your CSV and identifies the delimiter by counting occurrences of comma, semicolon, tab, and pipe. This handles the full range of CSV formats: comma-separated (North American standard), semicolon-separated (European Excel), tab-separated (database and BI tool exports), and pipe-separated (legacy enterprise system formats) without any manual configuration.
Different In/Out Delimiters
The input and output delimiters can be different — for example, you can read a tab-separated file and output a comma-separated one, or read a pipe-separated legacy file and output a semicolon-separated file for European Excel. This makes the Transpose tool useful not only for flipping data orientation but also for simultaneously converting the delimiter format in a single step.
Live Preview Table
The transposed result is shown in a formatted HTML table immediately after clicking Transpose. Preview shows up to 15 columns of the result to verify the orientation is correct before downloading. The stats bar shows the new dimensions — new row count × new column count — confirming the transpose worked as expected without needing to open the downloaded file in a spreadsheet application first.
RFC 4180 Output
The transposed CSV output follows RFC 4180 standards — fields containing the delimiter, double-quotes, or newlines are automatically wrapped in double-quotes, and embedded double-quotes are escaped by doubling them. "Quote all fields" mode wraps every value regardless of content. The output uses CRLF line endings for maximum compatibility with Excel and other Windows-based tools.
100% Private
The entire transposition runs in your browser using JavaScript. Your CSV data is never uploaded to a server, never transmitted over the network, and never stored anywhere. The transposed result is generated in browser memory and downloaded directly to your device. Safe for transposing financial models, research datasets, HR reports, and any other sensitive tabular data.
Free vs Pro
| Feature | Free | Pro |
|---|---|---|
| CSV input size | Unlimited | Unlimited |
| Basic transpose | ||
| Wide-to-long (melt/unpivot) | — | |
| Long-to-wide (pivot table) | — | |
| Batch transpose | — | |
| REST API access | — |
Frequently Asked Questions
Transposing flips the orientation of the table so that rows become columns and columns become rows. Think of it as rotating the data 90 degrees — the first row becomes the first column, the second row becomes the second column, and so on. A table that was 5 rows tall and 10 columns wide becomes 10 rows tall and 5 columns wide. All cell values are preserved; only their position changes.
Common use cases include: reformatting financial models where months are columns into a format where months are rows (for time-series analysis), converting wide survey data into long format for statistical software like R or Python pandas, fixing exports from legacy systems that produce data in the wrong orientation for your target tool, and reformatting comparison tables where items are rows and properties are columns into the reverse for certain chart types.
Transpose is a symmetric flip — every row becomes a column and every column becomes a row. No aggregation or computation happens. Pivot is more complex — it selects specific columns as keys, specific columns as values, and specific columns to spread across the output as new column headers, often with aggregation (sum, count, average) applied to the values. Transpose is simpler and always reversible; pivot involves reshaping with a schema decision.
Yes — transpose works correctly on any rectangular CSV, not just square ones. A CSV with 3 rows and 12 columns transposes to 12 rows and 3 columns. If rows have different numbers of columns (a ragged CSV), the shortest rows are padded with empty fields so that all rows in the transposed output have equal length. The result is always a valid, properly rectangular CSV regardless of the input structure.
Yes — Excel supports transpose via Paste Special → Transpose, and the TRANSPOSE() array function. However, this requires opening Excel, importing the CSV, performing the operation, and re-exporting. This tool does it in one step directly from CSV text. For quick one-off transpositions or when Excel is unavailable, using this tool is significantly faster. For programmatic transpositions on large files, consider pandas (df.T) or the Pro API.
No — the transpose operation runs entirely in your browser using JavaScript. Your CSV data is never uploaded to or processed by any server. The transposed output is generated in browser memory and the download happens directly from your browser to your device, with no intermediate network request. Completely safe for sensitive financial, research, or business data that cannot leave your device.