Review a contact export
Read a handful of contact rows as name, company and note labels without opening a spreadsheet.
Convert several CSV files to labeled TXT records or labeled TXT back to CSV.
Maintained by Roshan.
Convert CSV and TXT files in either direction. Files stay in this browser tab.
Use TXT when a person needs to scan a few records. For analysis, sorting, filtering or another programmatic step, preserve the CSV or convert to a structured format.
Find related browser-local tools for nearby tasks without starting another search.
Browse all developer and data toolsRenaming a .csv file to .txt changes only its extension; the commas, quoting and grid structure remain. This tool instead turns each data row into a plain-text record with one label and value per line. A blank line separates records. Select several files to get separate converted results in a ZIP, or merge their records into one file with columns aligned by heading. You can also turn these labeled TXT records back into CSV. It is useful when you need to read a small export in a text editor or paste a few records into a message without asking the reader to parse CSV punctuation. The first row supplies labels, so you can see what every value means outside a spreadsheet.
Read a handful of contact rows as name, company and note labels without opening a spreadsheet.
Paste one row of an application export into a bug report with each field identified by its header.
No. The tool replaces the table representation with labeled records separated by blank lines.
Yes. The CSV parser reads them as part of the field value rather than as separators.
No. It is a reading format. Retain the original CSV for structured import.
Convert multiple CSV files to Markdown tables or Markdown tables back to CSV, then download individual results or one merged file in your browser.
Convert CSV to tab-separated values in your browser. Parses quoted fields properly rather than replacing commas.
Convert CSV to a JSON array locally. Parse quoted commas, embedded newlines, BOM files, duplicate headers, sparse rows, and optional safe value types.