Verso PadSpreadsheet-style table
Read and update CSV values as cells instead of manually counting commas and quotation marks in a plain text document.
CSV Viewer & Editor — Free Online Tool
Click any cell to edit
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Free online CSV viewer and editor
Open comma-separated data in a clean table, edit cells and structure, and download the result without uploading the source file.
What is this tool?
Verso Pad CSV Editor provides a lightweight spreadsheet-style view for comma-separated values. Open a local CSV file or work with the sample table, then inspect rows and columns without reading raw delimiters. Edit individual cells, add or remove rows, add or remove columns, and download the current table as a standards-friendly CSV document when the update is complete.
The parser understands quoted fields, embedded commas, escaped double quotes, and line endings commonly found in CSV exports. When data is serialized for download, fields containing commas, quotes, or line breaks are quoted and embedded quotes are escaped. CSV is not a single rigid schema, however: the current tool uses commas as separators and treats the first row as ordinary editable data, allowing you to decide whether it represents headers.
A browser-local workflow is useful for quickly correcting exports, reviewing tabular configuration, preparing a small import, or removing unnecessary columns from data that should not be sent to a third-party conversion service. The selected file is read on your device. The current table is saved to local browser storage for restoration and is not uploaded to Verso Pad.
For large analytical datasets, advanced formulas, data types, multiple sheets, or locale-specific delimiters, a dedicated spreadsheet or data-processing environment remains more appropriate. Verso Pad focuses on direct inspection and editing of manageable comma-separated files. Always keep an original copy when modifying important data, and validate the downloaded result against the importer that will consume it.
Features
Local file opening
Select a CSV file from the device and parse it entirely in the browser. No file upload or account is needed for ordinary editing.
Row and column controls
Add records and fields as the dataset grows, or remove unneeded rows and columns before creating the revised download.
Quoted field support
Preserve commas, quotes, and line breaks inside values by parsing quoted cells and escaping them correctly during serialization.
Browser restoration
Continue with the most recent table in the same browser through local storage, while retaining control over clearing saved site data.
Direct CSV download
Export the current grid as a .csv file from the browser and keep the original input separate for comparison or recovery.
Example usage: Clean a product import file
- Open the exported CSV and confirm that its first row contains the column names expected by the destination.
- Review fields containing commas or quotation marks to make sure they appear in a single cell.
- Remove an unused column, correct values directly in the table, and add any missing rows.
- Download the revised CSV and test it with the target importer before replacing the original file.
The browser creates a newly serialized comma-separated file. The original remains unchanged on your device unless you deliberately replace it outside Verso Pad.
Frequently asked questions
Is my CSV uploaded to Verso Pad?
No. Opening, parsing, editing, local restoration, and downloading happen in the browser. The source file is not sent to the application backend.
Does the first row have to contain headers?
No. Every row remains editable data. Many CSV workflows use the first row as column names, but Verso Pad does not force that interpretation or invent a schema.
Are semicolon- or tab-separated files supported?
The current editor is designed for comma-separated values. Semicolon-separated or tab-separated files should be converted or edited with a tool that supports their delimiter explicitly.
Can it replace Excel or a database tool?
It is best for quick viewing and direct edits. It does not provide formulas, charts, joins, strong data typing, or database-scale processing, so use dedicated software for those workflows.