TSV CSV Viewer
View TSV and CSV data as formatted HTML tables in your browser
TSV/CSVビューアー
TSV・CSV データを貼り付けるかファイルをアップロードすると、見やすいテーブルで表示します。
About TSV CSV Viewer
Lightweight Browser-Based Table Viewer
When working with tabular text data, a plain text editor often makes it hard to see column boundaries clearly, and launching a full spreadsheet application can feel like overkill. This tool is a lightweight viewer that renders TSV and CSV data as an HTML table directly in your browser, with automatic row and column counting.
Easy to Use
You can paste data into the text area or drag and drop a file. The delimiter auto-detection feature means you do not need to worry about whether the data uses tabs or commas. You can also toggle whether the first row should be treated as a header, which is helpful for headerless datasets. An optional row number display helps you quickly locate and reference specific rows.
Privacy and Security First
No data is sent to any server and all processing happens locally in the browser, so you can safely inspect internal data or files containing personal information. Supports files up to 10 MB in size. It is well suited for everyday data verification, log inspection, content checks before sharing files, and quick debugging of data structure.
How to use TSV CSV Viewer
- Paste TSV or CSV data into the text area, or drag and drop a file to upload it. Files up to 10 MB are supported.
- Select the delimiter mode (Auto / Tab / Comma), choose whether to treat the first row as a header, and optionally enable row numbers for easier reference.
- Click the display button to render the data as a formatted HTML table with automatic row and column counts. All processing happens locally in your browser with no data transmission.
Benefits of TSV CSV Viewer
- Automatic delimiter detection means you can view data immediately without worrying about the format.
- Everything runs in the browser with no data sent externally, so confidential data and personal information stay safe and private.
- Row and column counts, row number display, and header toggling let you quickly understand data structure and enable efficient debugging and data validation.
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