Some CSV exports store measurements as long horizontal arrays (`dflow,4.45,117.74,...`). This tool transposes them into a 2D table with proper column headers so every chart library can consume them directly.
Ideal for permeability / filtration test exports, sensor streams, and API analytics dumps.
The extractor handles CSVs where each row is `label,value_1,value_2,...` — the shape labs and dashboards love.
Rows with ≥ 3 numeric values become columns automatically. The right pane shows a live preview of the transposed table.
Download a standard `header_row\ndata_row_1\ndata_row_2...` CSV that plugs into any chart tool.
Each array row in your source CSV (e.g. `dflow,4.45,117.74,148.83,...`) becomes a column in the output table, with the label as the header and the values running top-to-bottom down the column.
Yes. Toggle the "Index column" option to prepend a 1-based row index as the first column — handy when feeding a line or scatter tool that needs an explicit X axis.
Metadata (`key,single_value`) rows are preserved as `# key: value` comment lines at the top of the output by default. Flip the Metadata toggle to Drop if your target tool can't skip comment lines.
Only when you set a precision. Choose "Keep original" to emit the values exactly as they were in the source — no rounding, no `toFixed`, no string reformatting.