Split any CSV, TSV, or pipe-separated text into a structured table view — select your delimiter and see columns instantly.
Also convert formats with our CSV to JSON tool or analyze text with the Keyword Density Checker.
🔒 Your text is processed locally — nothing is stored or uploaded.
Text to Columns splits delimited text (like CSV or TSV) into a structured table view. This is the browser equivalent of the "Text to Columns" feature in Microsoft Excel and Google Sheets — but it works instantly without any software installation or file upload.
This text to columns tool works as a CSV viewer, delimited text parser, and data structure visualizer for analysts, developers, students, and content managers who need to inspect structured data quickly without opening a spreadsheet application.
The most common use case is previewing exported data before importing it into another system. When you export from a database, CRM, or analytics platform, the result is usually a comma or tab-separated file. Pasting it here lets you immediately verify that the column structure is correct — that the right fields are in the right positions, and that no data has been shifted or misaligned during the export.
Developers use it to check API responses that return CSV-formatted data, or to debug data pipelines where a field with an embedded delimiter is causing rows to split incorrectly. The pipe separator option is especially common in Unix-style data formats and legacy database exports where comma and tab are reserved characters within the data itself.
Content managers and SEO professionals use it to review bulk content exports from CMSs, product catalog feeds, and keyword data files. Seeing the data in a readable table makes it much easier to spot duplicates, missing fields, or misformatted rows before investing time in further processing. The header row option highlights the first row in a distinct color, making column names immediately visible and readable across wide datasets with many fields.